2020年第7期共收錄48篇
1. Effect of Water and Nitrogen Coupling on CH4 Emission and Rice Yield in Black Soil Paddy Fields with Straw Returned to Field
Accession number: 20203209017228
Title of translation: CH4
Authors: Zhang, Zhongxue (1, 2); Han, Yu (1, 2); Qi, Zhijuan (1, 2); Chen, Peng (1, 2)
Author affiliation: (1) School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin; 150030, China; (2) Key Laboratory of Efficient Use of Agricultural Water Resources, Ministry of Agriculture and Rural Affairs, Northeast Agricultural University, Harbin; 150030, China
Corresponding author: Qi, Zhijuan(zhijuan.qi@neau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 254-262
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to explore the effect of water and nitrogen coupling on CH4 emission in black soil paddy fields with straw returned to field, explore the water and fertilizer management mode of saving water and reduce emissions, and achieve the goal of yield increassing, on the basis of straw returning to the field, two irrigation modes of conventional flooding irrigation and controlled irrigation were set up, and four nitrogen fertilizer gradients were set up. The CH4 emission fluxes of each treatment were observed by static box gas chromatography, the water and nitrogen were analyzed. Under the coupling, the redox potential of paddy soil, the content of soil ammonium nitrogen and nitrate nitrogen in each growth stage, the change of straw decomposition rate, and the influence of each factor on CH4 emission in paddy field were calculated. The results showed that the CH4 emission flux and cumulative emission of conventional flooding irrigation were significantly higher than that of control irrigation (P4 emission flux and cumulative emission were increased significantly with the increase of nitrogen application level (P4 was increased by 16. 24% (P4 by 18.59% (P4 was decreased by 62.71%(P4 emissions; under the coupling of water and nitrogen, the content of ammonium nitrogen in paddy soil, the decomposition rate of straw and CH4 emissions had a significant positive correlation(P4 emissions (P ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 31
Main heading: Nitrogen fertilizers
Controlled terms: Economic and social effects? - ?Emission control? - ?Floods? - ?Gas chromatography? - ?Irrigation? - ?Redox reactions? - ?Soils? - ?Water conservation? - ?Water management
Uncontrolled terms: Controlled irrigations? - ?Correlation analysis? - ?Coupling of water and nitrogens? - ?Cumulative emissions? - ?Fertilizer management? - ?Negative correlation? - ?Positive correlations? - ?Production increase
Classification code: 444 Water Resources? - ?451.2 Air Pollution Control? - ?483.1 Soils and Soil Mechanics? - ?802.2 Chemical Reactions? - ?802.3 Chemical Operations? - ?804 Chemical Products Generally? - ?821.3 Agricultural Methods? - ?971 Social Sciences
Numerical data indexing: Percentage 2.01e+00%
DOI: 10.6041/j.issn.1000-1298.2020.07.029
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
2. Bactericidal Effect of Three Typical Strains by Ultrasonic Combined with Sodium Hypochlorite
Accession number: 20203209017231
Title of translation:
Authors: Chi, Yuan (1); Gong, Min (2); Ma, Yanqiu (2); Chi, Yujie (2)
Author affiliation: (1) College of Engineering, Northeast Agricultural University, Harbin; 150030, China; (2) College of Food Science, Northeast Agricultural University, Harbin; 150030, China
Corresponding author: Chi, Yujie(yjchi323@126.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 372-381
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Three kinds of typical bacteria were selected as the experimental strains, E. coli, K. marina and B. subtilis, in order to study the bactericidal effect of ultrasonic combined with sodium hypochlorite and the lethal kinetics of microorganism. Three common models were selected, namely first-order kinetics, Weibull, and Logistic models, to fit the inactivation curve of three typical strains by ultrasonic combined with sodium hypochlorite. Besides, the damage degree of the morphological structure of the bacteria before and after sterilization and the loss of materials in the cells were measured. The results showed that when the ultrasonic power was 150 W, the concentration of NaClO was 200 mg/L, and the treatment time was 180 s, the lethal dose logarithm to three kinds of bacteria was 4.54, 4.28 and 3.97, which was 13%~67% higher than that of sodium hypochlorite alone at the same time. With the increase of ultrasonic intensity and the concentration of sodium hypochlorite, Weibull model was more suitable to describe the sterilization process than logistic model (R2>0.95). At the same time, through the results of scanning electron microscopy and the loss of material in the cell, it was found that the combination of ultrasound and sodium hypochlorite can destroy the outer structure of the cell, make the cytoplasm overflow, the organelle dissolve and the cell shrink, and finally cause the cell death. The research result can provide an important method basis for the combination of ultrasound combined with sodium hypochlorite widely used in microbial sterilization. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 40
Main heading: Sodium metallography
Controlled terms: Bactericides? - ?Cell death? - ?Cell proliferation? - ?Chlorine compounds? - ?Escherichia coli? - ?Hydrometallurgy? - ?Scanning electron microscopy? - ?Sodium? - ?Sodium compounds? - ?Sterilization (cleaning) ? - ?Ultrasonics
Uncontrolled terms: Bactericidal effects? - ?Experimental strains? - ?First order kinetics? - ?Morphological structures? - ?Research results? - ?Sodium hypochlorites? - ?Sterilization process? - ?Ultrasonic intensity
Classification code: 461.6 Medicine and Pharmacology? - ?461.9 Biology? - ?531.1 Metallurgy? - ?549.1 Alkali Metals? - ?753.1 Ultrasonic Waves
Numerical data indexing: Mass_Density 2.00e-01kg/m3, Power 1.50e+02W, Time 1.80e+02s
DOI: 10.6041/j.issn.1000-1298.2020.07.042
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
3. Identification Method for Potato Disease Based on Deep Learning and Composite Dictionary
Accession number: 20203209017218
Title of translation:
Authors: Yang, Sen (1); Feng, Quan (1); Zhang, Jianhua (2); Sun, Wei (1); Wang, Guanping (1)
Author affiliation: (1) College of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou; 730070, China; (2) Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing; 100081, China
Corresponding author: Feng, Quan(fquan@sina.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 22-29
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Potato disease is one of the most important influencing factors for agricultural high quality. Traditional methods of image processing for disease identification under light of the outdoor natural environment are easily affected by typical interfering factors, such as illumination change, uneven brightness, similar foreground and so on. Therefore, these factors will lead to low recognition rate and low robustness. To improve the accuracy and stability of disease identification, a disease recognition method of deep convolutional neural network and composite feature words was proposed. Firstly, the Faster R-CNN model was trained by the migration learning technology, disease areas were detected with leaf image. Secondly, color feature and SIFT feature were extracted from the entire patch region set by high-density sampling method, and color feature and SIFT feature vocabulary were established. Then, the K-means algorithm was used to cluster the two types of apparent feature vocabularies to construct a composite feature dictionary. Finally, the features extracted from the disease area were mapped in the compound dictionary to obtain the feature histogram, and the identification model of the disease was trained by the support vector machine. The experimental results showed that when the number of visual words in the couposite dictionary was 50, the robustness and real-time performance of disease recognition was better, the average recognition rate was 90.83%, as well as the single frame image average time-consuming was 1.68 s. The average accuracy of model detection reached 84.16%, when the feature used a combination of color features and SIFT features. In addition, compared with the traditional bag of word recognition methods for the same data set, the proposed method could make the recognition accuracy increase by 25.45 percentage points. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Deep learning
Controlled terms: Agricultural robots? - ?Color? - ?Convolutional neural networks? - ?Deep neural networks? - ?Image processing? - ?K-means clustering? - ?Learning systems? - ?Support vector machines
Uncontrolled terms: Identification method? - ?Identification model? - ?Illumination changes? - ?Learning technology? - ?Natural environments? - ?Real time performance? - ?Recognition accuracy? - ?Recognition methods
Classification code: 723 Computer Software, Data Handling and Applications? - ?741.1 Light/Optics
Numerical data indexing: Percentage 8.42e+01%, Percentage 9.08e+01%, Time 1.68e+00s
DOI: 10.6041/j.issn.1000-1298.2020.07.003
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
4. Design and Experiment of Ozone Sterilizer Device for Organic Matrix
Accession number: 20203209017133
Title of translation:
Authors: Qiao, Xiaodong (1); Jia, Haiyao (1, 2); Wang, Chenjian (1, 2); Wang, Kunqi (2); Yan, Bingxin (1); Guo, Wenzhong (1)
Author affiliation: (1) Beijing Research Center of Intelligent Equipment for Agriculture, Beijing; 100097, China; (2) Mechanical and Electrical Engineering Institute, Xi’an Technological University, Xi’an; 710021, China
Corresponding author: Guo, Wenzhong(guowz@nercita.org.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 138-145
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Organic matrix cultivation is one of the main forms of soilless cultivation in facility agriculture. In the process of repeated utilization of organic matrix, continuous cultivation obstacles need to be disinfected, etc. Based on the analysis of the current disinfection technology and disinfection equipment, the ozone disinfection technology was proposed to solve the problem. Combining with rotating barrel research status, the rotary drum of ozone disinfection equipment parameters, the main structure and key operation parameters for the theoretical analysis and preliminary specified were designed, due to the dynamics and kinematics of organic matrix in the rotating barrel was complex, the EDEM software was adopted for organic matrix particle modeling and SolidWorks for rotating barrel with lifting board and screw conveyers cover, selecting Hertz-Mindlin contact model. The EDEM software was used with organic substrate bending angle as the evaluation index, lifting board bending angle, rotating barrel rotational speed and fill rates as test factors. Numerical simulation of three factors and five levels of orthogonal rotation was carried out. By using the regression analysis method of the Design-Expert software, a regression mathematical model of bending angle was established to optimize and verify the parameters. The results showed that the lifting board angle and rotating barrel rotational speed had significant influence on the bending angle, but the filling rate was not significant in the range of 10%~30%. The optimal structure parameters and working conditions of the organic matrix ozone disinfection device were: lifting board bending angle was 124.23° and drum rotational speed was 6.29 r/min, the organic substrate bending angle was 89.3°. According to theoretical analysis and simulation results, the development of ozone disinfection equipment rotating barrel diameter was 1 000 mm, the length was 1 000 mm, and eight lifting boards were distributed in the rotating board radial uniformly, and its height was 170 mm, and bending angle was 124°. The screw conveyers outside diameter was 160 mm, the screw conveyers inside diameter was 60 mm, the pitch was 160 mm, and screw conveyers opening angle was 60°. Validation results showed that, in the disinfection stage, an effective “material curtain” and second collision with screw conveyers cover of the organic matrix was formed. In the unloading stage, the organic matrix can fall back to the inside of the screw conveyers cover. After the ozone disinfection equipment was sterilized for 60 minutes, the sterilization performance test showed that the number of bacteria was 31 CFU/mL, the number of fungi was 3 CFU/mL, the sterilization rate of bacteria was 88.9%, and the sterilization rate of fungi was 97.9%, which met the actual production needs. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 29
Main heading: Matrix algebra
Controlled terms: Agricultural robots? - ?Bacteria? - ?Cultivation? - ?Design? - ?Disinfection? - ?Fungi? - ?Ozone? - ?Regression analysis? - ?Screw conveyors? - ?Screws ? - ?Software testing? - ?Stages? - ?Sterilization (cleaning)? - ?Structural optimization? - ?Unloading
Uncontrolled terms: Analysis and simulation? - ?Continuous cultivation? - ?Equipment parameters? - ?Facility agricultures? - ?Optimal structures? - ?Orthogonal rotations? - ?Regression analysis methods? - ?Soil-less cultivation
Classification code: 402.2 Public Buildings? - ?605 Small Tools and Hardware? - ?691.2 Materials Handling Methods? - ?692.1 Conveyors? - ?723.5 Computer Applications? - ?804 Chemical Products Generally? - ?821.3 Agricultural Methods? - ?921.1 Algebra? - ?921.5 Optimization Techniques? - ?922.2 Mathematical Statistics
Numerical data indexing: Percentage 8.89e+01%, Percentage 9.79e+01%, Rotational_Speed 6.29e+00RPM, Size 1.00e+00m, Size 1.60e-01m, Size 1.70e-01m, Size 6.00e-02m, Time 3.60e+03s
DOI: 10.6041/j.issn.1000-1298.2020.07.016
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
5. Design and Test of Real-time Monitoring System for UAV Variable Spray
Accession number: 20203209017213
Title of translation:
Authors: Liu, Yangyang (1); Ru, Yu (1); Chen, Qing (1); Chen, Xuyang (1); Liu, Bin (1)
Author affiliation: (1) College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing; 210037, China
Corresponding author: Ru, Yu(superchry@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 91-99
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The dosage sprayed upon per unit area is an important indicator to measure the performance of spray. In order to ensure the consistency of the dosage sprayed upon per unit area, and realize the real-time control of the spray volume, based on the analysis of aerial variable spray technology, a set of hierarchical control algorithm of aerial variable spray for UAV was proposed. A hierarchical control table was created based on the level of each spray parameter and the opening degree of the valve. And then a corresponding opening degree value of the valve was obtained when spray parameters changed by combining hierarchical control formula. And it can calculate the spray volume to realize the purpose of automatically adjusting the spray volume. A set of real-time monitoring system of aerial variable spray for UAV was developed in view of the algorithm and multi-information fusion technology based on single chip microcomputer. And the system realized the real-time monitoring of information such as flight track, flight height, flight speed, spray volume and liquid residue through the design of software and hardware. And experimental studies of flight track monitoring, spray volume monitoring, liquid level monitoring and variable spray control were carried out. The test results showed that the system can accurately monitor a variety of spray parameters in real time and precisely regulate the spray flow according to the parameter changes. And the mean deviation of flight track monitoring was 0.98 m. The mean deviation of spray volume monitoring was 3.57%. The average deviation of liquid level monitoring was 1.97%. The maximum error of spray volume control was 9.26%. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 30
Main heading: Monitoring
Controlled terms: Antennas? - ?Level measurement? - ?Liquids? - ?Real time control? - ?Unmanned aerial vehicles (UAV)
Uncontrolled terms: Average deviation? - ?Design of softwares? - ?Hierarchical control? - ?Liquid level monitoring? - ?Multi-information fusion? - ?Real time monitoring? - ?Real time monitoring system? - ?Single chip microcomputers
Classification code: 652.1 Aircraft, General? - ?731 Automatic Control Principles and Applications? - ?943.2 Mechanical Variables Measurements
Numerical data indexing: Percentage 1.97e+00%, Percentage 3.57e+00%, Percentage 9.26e+00%, Size 9.80e-01m
DOI: 10.6041/j.issn.1000-1298.2020.07.011
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
6. Effect of Low-altitude UAV Image Resolution on Inversion of Winter Wheat Nitrogen Concentration
Accession number: 20203209017200
Title of translation:
Authors: Jia, Dan (1, 2); Chen, Pengfei (1, 3)
Author affiliation: (1) State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Science and Natural Resources Research, Chinese Academy of Sciences, Beijing; 100101, China; (2) Chinese Academy of Sciences University, Beijing; 100049, China; (3) Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing; 210023, China
Corresponding author: Chen, Pengfei(pengfeichen@igsnrr.ac.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 164-169
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In view of the lack of standardized standards in the diagnosis of crop nitrogen nutrition based on UAV remote sensing to guide the data acquisition and processing in the application of drone, low-altitude UAV images with different resolutions were used to invert the nitrogen concentration of winter wheat plants. The research on the impact would provide a reference for the formulation of relevant standards and specifications in the acquisition of UAV images. To this end, a winter wheat water and nitrogen coupling experiment was conducted to obtain wheat plants with different nitrogen nutritional status. During the filling period of wheat growth, multi-spectral images of UAV with different resolutions were obtained by setting different flying heights of drones such as 15 m, 30 m, 50 m and 80 m, and ground experiments were conducted to collect nitrogen concentration information of winter wheat plants. Based on these data, the spectral information and texture features of the images at various resolutions were extracted, and models for inverting the nitrogen concentration of plants were established, such as spectral information, texture features, and spectral information + texture features, respectively. By comparing the estimated effects of the models in different scenarios, the results showed that when the image resolution was changed between 1. 00 cm and 5. 69 cm, the spectral information of the image had little effect on the inversion of the nitrogen concentration of the wheat plant. The difference of modeling results and verification results in each scenario was small; the effect of image texture feature on the inversion of wheat plant nitrogen concentration became worse as the image resolution was decreased; the image spectrum information + texture feature information on the inversion effect of wheat plant nitrogen concentration as a whole was increased with the increase of image resolution, and its inversion result was better than the inversion effect of a single spectral feature or a single texture feature. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 32
Main heading: Image texture
Controlled terms: Crops? - ?Data acquisition? - ?Data handling? - ?Drones? - ?Image resolution? - ?Nitrogen? - ?Nutrition? - ?Remote sensing? - ?Spectroscopy? - ?Textures
Uncontrolled terms: Different resolutions? - ?Ground experiments? - ?Inversion results? - ?Multispectral images? - ?Nitrogen concentrations? - ?Spectral information? - ?UAV remote sensing? - ?Verification results
Classification code: 461.7 Health Care? - ?723.2 Data Processing and Image Processing? - ?804 Chemical Products Generally? - ?821.4 Agricultural Products
Numerical data indexing: Size 0.00e+00m, Size 1.50e+01m, Size 3.00e+01m, Size 5.00e+01m, Size 6.90e-01m, Size 8.00e+01m
DOI: 10.6041/j.issn.1000-1298.2020.07.019
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
7. Influence of Impurity Particles on Ultrasonic Propagation Characteristics and Measurement Accuracy
Accession number: 20203209017195
Title of translation:
Authors: Zhang, Meng (1); Du, Guangsheng (1); Cheng, Hao (1); Yang, Yue (1)
Author affiliation: (1) School of Energy and Power Engineering, Shandong University, Ji’nan; 250061, China
Corresponding author: Du, Guangsheng(du@sdu.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 420-426
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The ultrasonic attenuation caused by impurities in the water leads to inaccurate measurement of ultrasonic flow meter. Numerical simulation and experimental research were used to study the distribution and measurement accuracy of the impurities in the ultrasonic flow meter. Impurity distribution in liquid was calculated by Eulerian two-phase model and standard k-Ε model. Through the two-phase flow mathematical model to establish the numerical calculation of the internal flow, obtain the impurity distribution law of different impurity particle sizes under different flow conditions. When the particle size of impurities was less than 0.05 mm, it was easier to be carried by the fluid. Impurities were relatively evenly distributed in the flow channel. When the Reynolds number was small, impurities larger than 0.1 mm in diameter were distributed below the signal propagation path. As the Reynolds number was increased, the interaction between the solid phase and the liquid phase became stronger, and the impurity concentration in the signal propagation path was increased. Through the experiment, the measurement error of the ultrasonic flow meter of the impurity water flow was studied. The numerical calculation and the experimental results were mutually verified. The influence of different impurity particle sizes on the acoustic propagation center area and the ultrasonic wave were given. Measurement errors caused by impurities smaller than 0.02 mm in diameter were more easily corrected. The measurement error caused by impurities with larger particle size was greatly affected by the fluid velocity. The research can provide a theoretical reference for the research of the detection accuracy of ultrasonic flow meter in the actual water quality with different particle impurities, and had a certain application value. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Two phase flow
Controlled terms: Acoustic wave propagation? - ?Channel flow? - ?Flow measurement? - ?Flow of water? - ?Measurement errors? - ?Particle size? - ?Reynolds number? - ?Ultrasonic applications? - ?Ultrasonic flowmeters? - ?Ultrasonic waves ? - ?Water quality
Uncontrolled terms: Eulerian two-phase models? - ?Experimental research? - ?Impurity concentration? - ?Impurity distribution? - ?Measurement of ultrasonic? - ?Numerical calculation? - ?Propagation characteristics? - ?Ultrasonic attenuation
Classification code: 445.2 Water Analysis? - ?631.1 Fluid Flow, General? - ?631.1.1 Liquid Dynamics? - ?751.1 Acoustic Waves? - ?753 Ultrasonics and Applications
Numerical data indexing: Size 1.00e-04m, Size 2.00e-05m, Size 5.00e-05m
DOI: 10.6041/j.issn.1000-1298.2020.07.048
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
8. Design and Experiment of Portable Plant Sap Flow Meter Based on TDP
Accession number: 20203209017157
Title of translation:
Authors: Zhang, Ju (1); Jiang, Zhaohui (1); Li, Bo (1); Wu, Wenhui (1); Gao, Jian (2)
Author affiliation: (1) College of Information and Computer Science, Anhui Agricultural University, Hefei; 230036, China; (2) International Center for Bamboo and Rattan, Beijing; 100102, China
Corresponding author: Jiang, Zhaohui(jiangzh@ahau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 237-243
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Sap flow is an important physiological index of plants. So it is necessary to conduct long-term, accurate and online monitoring of sap flow in the study of water consumption law of transpiration and related applications. In view of the high price of foreign commercial sap flow meter, the modular sap flow meter has many problems in terms of volume, performance, sap power supply and communication, and a portable plant sap flow monitor based on the principle of thermal dissipation was developed by using the integrated design concept. The embedded microprocessor STM32 was taken as the main control module, the AD620 and OP07 composed of low noise precision amplification circuit was taken as the core, and the probe constant current heating, SD card storage and GPRS communication, solar power supply circuit and power monitoring alarm were designed. The maximum measured voltage of the day was obtained by iterative algorithm, and the plant sap flow density was calculated immediately. On-site test and comparative test showed that the instrument had displaying, storing, reading, transmitting and alarming functions normally, the measured sap flow density data was accurate, the performance was stable, and the results obtained by the comparison instrument Delta-T data collector had good consistency. In the dual-channel monitoring, the working time was about 7 days in continuous rainy weather, and it can work for long periods of time under normal weather conditions. The sap flow meter had the advantages of cost-effective, easy to use, easy channel expansion, and can replace imported products. It had good application prospects in the field of plant water transmission and utilization research, the monitoring of the impact of forest ecosystems on environmental changes, and the water management of urban green space. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 23
Main heading: Flowmeters
Controlled terms: Cost effectiveness? - ?Diffusers (optical)? - ?Digital storage? - ?Ecosystems? - ?Flow measurement? - ?Iterative methods? - ?Power supply circuits? - ?Solar power generation? - ?Solar power plants? - ?Water management
Uncontrolled terms: Application prospect? - ?Channel expansions? - ?Embedded microprocessors? - ?Environmental change? - ?Iterative algorithm? - ?Physiological indices? - ?Thermal dissipation? - ?Urban green spaces
Classification code: 454.3 Ecology and Ecosystems? - ?615.2 Solar Power? - ?722.1 Data Storage, Equipment and Techniques? - ?741.3 Optical Devices and Systems? - ?911.2 Industrial Economics? - ?921.6 Numerical Methods? - ?943.1 Mechanical Instruments? - ?943.2 Mechanical Variables Measurements
Numerical data indexing: Age 1.92e-02yr
DOI: 10.6041/j.issn.1000-1298.2020.07.027
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
9. Defect Detection Method of Apples Based on GoogLeNet Deep Transfer Learning
Accession number: 20203209017152
Title of translation: GoogLeNet
Authors: Xue, Yong (1, 2); Wang, Liyang (1); Zhang, Yu (3); Shen, Qun (1, 4)
Author affiliation: (1) College of Food Science and Nutritional Engineering, China Agricultural University, Beijing; 100083, China; (2) National Engineering and Technology Research Center for Fruits and Vegetables, China Agricultural University, Beijing; 100083, China; (3) College of Information and Electrical Engineering, China Agricultural University, Beijing; 100083, China; (4) Beijing Key Laboratory of Plant Protein and Grain Processing, China Agricultural University, Beijing; 100083, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 30-35
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Apple processing has been one of the most important aspects in the field of fruit and vegetable processing for a long time, and how to screen out the defects of apple with high precision and low cost has been one of the key research directions at home and abroad. In view of the current situation of fruit sorting which mainly completed by manual operation in China, the deep transfer model GoogLeNet based on deep convolutional neural network was used to detect the defects of apple, and the results showed that the accuracy rates of GoogLeNet could reach up to 100% and 91.91% based on 1 932 expanded training samples and 235 testing samples, respectively. At the same time, through assessing the performance of common machine learning algorithms in the field of apple defects detection, the results of GoogLeNet were compared with the shallow convolutional neural network (AlexNet and the improved LeNet-5) and traditional machine learning algorithms (K-nearest neighbor, K-NN; random forest, RF; support vector machine, SVM) in order to further verify the superiority of GoogLeNet. The results indicated that deep convolutional neural network had better generalization ability and robustness when compared with other conventional algorithms in the field of apple defects detection, which supported its broad application prospects. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 24
Main heading: Learning algorithms
Controlled terms: Convolution? - ?Convolutional neural networks? - ?Decision trees? - ?Deep learning? - ?Deep neural networks? - ?Defects? - ?Fruits? - ?Learning systems? - ?Nearest neighbor search? - ?Support vector machines ? - ?Transfer learning
Uncontrolled terms: Broad application? - ?Conventional algorithms? - ?Current situation? - ?Defect detection method? - ?Fruit and vegetables? - ?Generalization ability? - ?K-nearest neighbors? - ?Manual operations
Classification code: 716.1 Information Theory and Signal Processing? - ?723 Computer Software, Data Handling and Applications? - ?821.4 Agricultural Products? - ?921.5 Optimization Techniques? - ?951 Materials Science? - ?961 Systems Science
Numerical data indexing: Percentage 1.00e+02%, Percentage 9.19e+01%
DOI: 10.6041/j.issn.1000-1298.2020.07.004
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
10. Cultivated Land Change Induced Water Balance Effect in Naoli River Basin
Accession number: 20203209017131
Title of translation:
Authors: Zhou, Hao (1); Jin, Ping (2); Xia, Weisheng (1); Xie, Binggeng (1)
Author affiliation: (1) College of Resources and Environment, Hunan Normal University, Changsha; 410081, China; (2) Hubei Institute of Urban Planning and Design, Wuhan; 430071, China
Corresponding author: Xie, Binggeng(xbgyb1961@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 313-322
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Climatic tendency of warming and drying had been shown distinctly in the mid-latitude zone of the north hemisphere. It was of a series of impacts on the water resources system, especially in the semi-arid regions. Aiming to reveal the water surplus and loss situation by using the remote sensing method in the Naoli River Basin, and then revealing the water balance effect under the cultivated land use change in the basin. The results showed that since 2000, the internal structure of cultivated land in the Naoli River Basin was changed drastically, the paddy field was expanded rapidly from 2000 to 2015, the dryland continued to decrease. The cumulative value of potential evapotranspiration(ET0) showed obvious S shaped curve increasing feature. This basin was in a state of climate water deficit for many years, and the water deficit in the mountainous areas of Raohe County in the west and northeast was significantly larger than that in the central and southern regions, for its overall trend was from west to south. Along with the rapid changes in the internal structure of the cultivated land in the basin, the average water deficit in dryland and paddy fields showed gradual decline characteristics. The water shortage in the paddy field became more seriously. The amount of water shortage showed the decreasing characteristics year by year. The future water use problem in paddy fields would be the core issue for the comprehensive utilization of agricultural resources in the basin. The research results can be used as references and consultancies for the cultivated land management in Naoli River Basin and also the Sanjiang Plain. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Land use
Controlled terms: Agricultural robots? - ?Agriculture? - ?Remote sensing? - ?Rivers? - ?Water supply? - ?Watersheds
Uncontrolled terms: Agricultural resources? - ?Comprehensive utilizations? - ?Cultivated lands? - ?Internal structure? - ?Mountainous area? - ?Potential evapotranspiration? - ?Semi-arid region? - ?Water resources systems
Classification code: 403 Urban and Regional Planning and Development? - ?444.1 Surface Water? - ?446.1 Water Supply Systems? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control
DOI: 10.6041/j.issn.1000-1298.2020.07.035
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
11. Development of Agricultural Drought Monitoring Model Using Remote Sensing Based on Bias-correcting Random Forest
Accession number: 20203209017168
Title of translation:
Authors: Liu, Ji (1, 2); Zhang, Te (1, 2); Wei, Rong (1, 2); Zhang, Qian (1, 2); Liu, Yanli (3, 4); Dong, Xiaohua (1, 2)
Author affiliation: (1) College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang; 443002, China; (2) Engineering Research Center of Eco-environment in Three Gorges Reservoir Region, Ministry of Education, Yichang; 443002, China; (3) State Key Laboratory of Hydrology, Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing; 210098, China; (4) Research Center for Climate Change, Ministry of Water Resources, Nanjing; 210029, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 170-177
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Drought is a frequent natural hazard in the Huaihe River Basin (HRB). Traditional agricultural drought monitoring methods have defects in spatial continuity, so developing an accurate agricultural drought monitoring model at regional scale is necessary. As a popular method, random forest (RF) is widely used due to its high prediction accuracy. However, RF may have significant bias in regression at times, especially for extreme values. The standardized precipitation evapotranspiration index for the 3-month time scale (SPEI3) was used as the dependent variable, and the multi-source satellite product from tropical rainfall measure mission (TRMM) and moderate-resolution imaging spectroradiometer (MODIS) was fused by RF to construct agricultural drought monitoring model in two regions of the HRB from April to October in 2001-2014. The accuracy of four bias-correcting methods, including simple linear regression (SLR), bias corrected method (BC), residual rotation method (RR) and best-angle residual rotation method (BRR) were assessed by determination coefficient (R2), root mean square error (RMSE) and correct percentage of drought grades. The best bias-correcting method was used to establish agricultural drought monitoring model, which was called bias correcting random forest drought condition model (BRFDC). The relative soil humidity data and drought records were applied to test the monitoring capacity of BRFDC model. The results showed that all of four bias-correcting methods improved the performance compared with original RF. The BRR method performed better with R2 were 0.897 and 0.874, and RMSE were 0.335 and 0.362, which reduced the residuals efficiently. Additionally, the BC method performed better by the accuracy rate of different ranks of drought, especially the accuracy of extreme drought was between 33.3% and 50.0%. The BC method was applied to construct BRFDC at last. Compared with SPEI3, the outputs of BRFDC model had more significant correlation with soil relative humidity at most stations. Finally, the drought maps during the period from May to October in 2001 were produced by inverse distance weighting method (IDW), original RF and BRFDC model, and all of them showed a strong visual agreement. In particular, the extreme drought conditions were successfully monitored by BRFDC model. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Drought
Controlled terms: Agricultural robots? - ?Agriculture? - ?Decision trees? - ?Inverse problems? - ?Mean square error? - ?Monitoring? - ?Radiometers? - ?Rain gages? - ?Random forests? - ?Remote sensing
Uncontrolled terms: Agricultural drought? - ?Dependent variables? - ?Determination coefficients? - ?Huaihe river basins? - ?Inverse distance weighting method? - ?Moderate resolution imaging spectroradiometer? - ?Root mean square errors? - ?Simple linear regression
Classification code: 443.2 Meteorological Instrumentation? - ?444 Water Resources? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?922.2 Mathematical Statistics? - ?944.7 Radiation Measuring Instruments? - ?961 Systems Science
Numerical data indexing: Age 2.50e-01yr, Percentage 3.33e+01% to 5.00e+01%
DOI: 10.6041/j.issn.1000-1298.2020.07.020
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
12. Design and Test of Ginseng Precision Special-hole Type Seed-metering Device with Convex Hull
Accession number: 20203209017189
Title of translation:
Authors: Lai, Qinghui (1); Jia, Guangxin (1); Su, Wei (1); Hong, Fangwei (1); Zhao, Jinwen (1)
Author affiliation: (1) Faculty of Agriculture and Food, Kunming University of Science and Technology, Kunming; 650500, China
Corresponding author: Su, Wei(laisubo@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 60-71
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to solve the problem of the poor fluidity of ginseng seeds caused seed-metering device the serious shortage of filling-seed and the easy damage of seeds. The method of enlarging seeds disturbance and reducing local seeds friction was adopted to improve the filling-seed performance of seed-metering device. And based on this a precision special-hole type seed-metering device with convex hull was designed. Through the analysis of the force and motion state of seeds in the filling-seed area, the mechanism of convex hull and special-hole improving filling-seed performance of seed-metering device was expounded. And through the calculation of the kinematic analysis of theoretical calculation to filling-seed process, the single factor simulation test was conducted through the EDEM, the influence of different structural parameters on seeds was analyzed and the structural parameters of special-hole were ascertained. Then the quadratic regression orthogonal rotation combination test was done, with the rotation rate of special-hole, height diameter ratio of convex hull and seed’s height as the test factors, and the qualified index, the multiple index and the missing index as the test index. Experimental results showed that the primary and secondary order of influencing conformity index was height diameter ratio of convex hull, the rotation rate of special-hole and seed’s height. When the rotation rate of special-hole was 29.75 r/min, height diameter ratio of convex hull was 0.43 and seed’s height was 53.92 mm, filling-seed performance was the optimum, the qualified index was 95.59%, the multiple index was 2.97% and the missing index was 1.40%. The bench test and field experiment were conducted to testify the working performance of seed-metering device, which showed that the precision special-hole type seed-metering device with convex hull had the filling-seed better performance and can meet the requirements of ginseng sow. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Computational geometry
Controlled terms: Filling? - ?Pneumatic materials handling equipment? - ?Rotation? - ?Testing
Uncontrolled terms: Kinematic Analysis? - ?Orthogonal rotations? - ?Quadratic regression? - ?Seed metering devices? - ?Simulation tests? - ?Structural parameter? - ?Theoretical calculations? - ?Working performance
Classification code: 691.1 Materials Handling Equipment? - ?691.2 Materials Handling Methods? - ?723.5 Computer Applications? - ?931.1 Mechanics
Numerical data indexing: Percentage 1.40e+00%, Percentage 2.97e+00%, Percentage 9.56e+01%, Rotational_Speed 2.98e+01RPM, Size 5.39e-02m
DOI: 10.6041/j.issn.1000-1298.2020.07.008
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
13. Emulsifying Properties of Pea Protein Isolate with Inulin
Accession number: 20203209017186
Title of translation:
Authors: Li, Yang (1, 2); Xu, Qingqing (1); Han, Lu (1); Wang, Diqiong (1); Qi, Baokun (1, 2)
Author affiliation: (1) College of Food Science, Northeast Agricultural University, Harbin; 150030, China; (2) National Research Center of Soybean Engineering and Technology, Harbin; 150030, China
Corresponding author: Qi, Baokun(qibaokun22@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 382-388
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming to investigate the effects of different inulin (INU) concentrations (1%, 3%, 5% and 7%) on the emulsification of pea protein isolate (PPI) and its emulsion stability, and determine the optimal concentration of INU. PPI/INU emulsion was prepared by high pressure homogenization method using PPI as emulsifier. The emulsion was characterized by particle size, zeta potential, laser confocal microscopy (CLSM), enzyme labeling and endogenous fluorescence spectroscopy. The results showed that low concentrations (1% and 3%) of INU had a beneficial effect on zeta potential and average particle size, with an absolute maximum zeta potential at 1% INU (34.03 mV) and a minimum mean particle size (d4, 3 was 395.50 nm). CLSM showed more uniform droplet distribution in emulsions with low concentrations (1% and 3%). When the concentration of INU was 1%, the emulsification activity index and emulsion stability index of PPI were increased by 7.8% and 22%, respectively, emulsion interface protein adsorption rate was increased by 11%. The fluorescence spectrum showed that with the increase of concentration of INU, the amount of PPI-INU complexes in the continuous phase was increased, which had a negative impact on the stability of the emulsion. It was concluded that low concentrations (1% and 3%) of INU could significantly improve the emulsification of PPI and enhance the stability of PPI emulsion, with 1% of INU being the most significant. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 28
Main heading: Emulsification
Controlled terms: Fluorescence? - ?Fluorescence spectroscopy? - ?Homogenization method? - ?Particle size? - ?Polyethylenes? - ?Polysaccharides? - ?Proteins? - ?Stability? - ?Zeta potential
Uncontrolled terms: Average particle size? - ?Emulsifying property? - ?Emulsion interfaces? - ?Fluorescence spectra? - ?High pressure homogenization? - ?Laser confocal microscopy? - ?Optimal concentration? - ?Pea protein isolates
Classification code: 741.1 Light/Optics? - ?741.3 Optical Devices and Systems? - ?801.3 Colloid Chemistry? - ?802.3 Chemical Operations? - ?804.1 Organic Compounds? - ?815.1.1 Organic Polymers? - ?921 Mathematics
Numerical data indexing: Percentage 1.00e+00%, Percentage 1.10e+01%, Percentage 2.20e+01%, Percentage 3.00e+00%, Percentage 5.00e+00%, Percentage 7.00e+00%, Percentage 7.80e+00%, Size 3.96e-07m, Voltage 3.40e-02V
DOI: 10.6041/j.issn.1000-1298.2020.07.043
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
14. UAV Remote Sensing Inversion of Soil Salinity in Field of Sunflower
Accession number: 20203209017202
Title of translation:
Authors: Chen, Junying (1, 2); Yao, Zhihua (1, 2); Zhang, Zhitao (1, 2); Wei, Guangfei (1); Wang, Xintao (1); Han, Jia (1)
Author affiliation: (1) College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling; Shaanxi; 712100, China; (2) The Key Laboratory of Agricultural Soil and Water Engineering in Arid Areas, Ministry of Education, Northwest A&F University, Yangling; Shaanxi; 712100, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 178-191
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: It is of great significance to obtain soil salt information timely and accurately for guiding rational irrigation, ensuring normal growth and development of crops, and realizing high yield. Sunflowers of four kinds of croplands with different salinizations in Shahaoqu District of Hetao Irrigation Area were set as the study object, remote sensing data were obtained by using multi-spectral camera and thermal infrared imager, meanwhile, the soil salt data at different soil depths in the region were collected. The soil salinity inversion models were constructed for sunflower field in different growth stages and soil depths with four regression methods, including partial least squares regression(PLSR), support vector machine (SVM), back propagation neural network (BPNN) and extreme learning machine(ELM), which were based on canopy temperature, and spectral index was screened by grey correlation method. The result showed that the effect of salt inversion model constructed based on the data of sunflower budding stage was better than that of flowering stage on the whole, the model constructed with the preferred salt index and spectral index as the variable group was better than that of vegetation index variable group and the soil depth with good salinity inversion was 0~20 cm and 20~40 cm. The comparison showed that the effect of machine learning salt inversion model was better than partial least squares regression model, BPNN salt model constructed with spectral index as variable group had the best inversion effect at the depth of 0~20 cm soil in sunflower germination stage, in which the modeling R2 and validation R2 were 0.773 and 0.718, and the RMSE and CC of validation reached 0.062% and 0.813, respectively. The research result provided a reference for the application of UAV remote sensing in sunflower field soil salinity monitoring and related research. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 43
Main heading: Learning systems
Controlled terms: Backpropagation? - ?Irrigation? - ?Least squares approximations? - ?Remote sensing? - ?Soils? - ?Support vector machines? - ?Support vector regression? - ?Unmanned aerial vehicles (UAV)
Uncontrolled terms: Back-propagation neural networks? - ?Different growth stages? - ?Extreme learning machine? - ?Grey correlation methods? - ?Multi-spectral cameras? - ?Partial least squares regression models? - ?Partial least squares regressions (PLSR)? - ?Thermal infrared imager
Classification code: 483.1 Soils and Soil Mechanics? - ?652.1 Aircraft, General? - ?723 Computer Software, Data Handling and Applications? - ?723.4 Artificial Intelligence? - ?821.3 Agricultural Methods? - ?921.6 Numerical Methods
Numerical data indexing: Percentage 6.20e-02%, Size 0.00e+00m to 2.00e-01m, Size 2.00e-01m to 4.00e-01m
DOI: 10.6041/j.issn.1000-1298.2020.07.021
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
15. Entity Relation Extraction of News Texts for Food Safety Events
Accession number: 20203209017223
Title of translation:
Authors: Zheng, Limin (1, 2); Qi, Shanshan (1); Tian, Lijun (1, 2); Yang, Lu (1, 2)
Author affiliation: (1) College of Information and Electrical Engineering, China Agricultural University, Beijing; 100083, China; (2) Beijing Laboratory of Food Quality and Safety, Beijing; 100083, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 244-253
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to solve the problem of fast and accurate identification of food safety events from large-scale Web texts and the extraction of entity relations, which is limited by the complex grammatical characteristics of Chinese, a method of entity relation extraction based on dependency parsing for news texts of food safety events FSE_ERE (entity relation extraction of food safety events) was proposed. This method combined the dependency parsing results of sentences with the entity relation extraction model to conduct unsupervised entity relation extraction for unstructured Chinese texts, and also introduced a semi-supervised classification method combining text similarity with positive and unlabeled learning (PU learning) classification method, which used an improved feature weighting processing method to improve the classification accuracy. That can make the FSE_ERE method to complete the entity relation extraction work in the high-quality news text of food safety events. The experimental results showed that the FSE_ERE method achieved advanced performance in entity relation extraction on food safety event news text dataset and multi-type hybrid news text dataset, and the F-measure achieved 71.21% and 67.42% respectively, which proved the effectiveness and portability of the FSE_ERE method. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 28
Main heading: Semi-supervised learning
Controlled terms: Extraction? - ?Food safety? - ?Syntactics? - ?Text processing
Uncontrolled terms: Classification accuracy? - ?Classification methods? - ?Dependency parsing? - ?Entity relation extractions? - ?Feature weighting? - ?Food safety events? - ?Positive and unlabeled learning? - ?Semi-supervised classification method
Classification code: 461.6 Medicine and Pharmacology? - ?802.3 Chemical Operations? - ?903.1 Information Sources and Analysis
Numerical data indexing: Percentage 6.74e+01%, Percentage 7.12e+01%
DOI: 10.6041/j.issn.1000-1298.2020.07.028
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
16. Land Cover Remote Sensing Classification Method of Alpine Wetland Region Based on Random Forest Algorithm
Accession number: 20203209017214
Title of translation:
Authors: Hou, Mengjing (1); Yin, Jianpeng (1); Ge, Jing (1); Li, Yuanchun (1); Feng, Qisheng (1); Liang, Tiangang (1)
Author affiliation: (1) State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Lanzhou; 730020, China
Corresponding author: Liang, Tiangang(tgliang@lzu.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 220-227
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Alpine wetland is a typical and unique ecosystem in the Qinghai-Tibet Plateau, which is considered as a sensitive zone and early warning area of global climate change. Using remote sensing technology to extract land cover information of alpine wetland more quickly and accurately is of great significance to the monitoring and protection of local ecological security. Firstly, taking Zoige Wetland National Nature Reserve as the study area and GF-1 remote sensing image as the data source, the random forest (RF) classification experiments were carried out based on 26 variables, including spectral characteristics, water index, topography feature, vegetation index and texture information. Then, through the out of bag (OOB) feature variable importance score and accuracy evaluation results, the optimal classification scheme and characteristics of land cover types in the alpine wetland region were selected. Finally, the feature variables were dimensionally reduced, and based on the same variables, the maximum likelihood classification (MLC), support vector machine (SVM), artificial neural network (ANN) and RF were used to classify, and the applicability of different methods was compared. The results showed that combining with the spectral characteristics, water and vegetation index, texture feature of GF-1 image and topography information, the RF model with 26 variables reached the highest classification accuracy, the overall accuracy (OA) was 90.07%, and the Kappa coefficient was 0.86. Using the variable importance analysis of RF model, important feature information could be effectively selected. Based on the importance analysis of RF model, the important feature information can be effectively selected, the dimension of feature variables can be reduced, and high classification accuracy was ensured. Among the four classification methods, RF algorithm was the most ideal one at present, OA was 17.63 percentage points higher than that of MLC, and 6.98 percentage points and 6.56 percentage points higher than those of SVM and ANN respectively. The RF classification method combined with multiple remote sensing information and feature selection can quickly and efficiently classify the land cover types of alpine wetland region, providing a quick and feasible technical means for the monitoring of local alpine wetland. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 32
Main heading: Classification (of information)
Controlled terms: Climate change? - ?Decision trees? - ?Ecology? - ?Image texture? - ?Maximum likelihood? - ?Random forests? - ?Remote sensing? - ?Support vector machines? - ?Textures? - ?Topography ? - ?Vegetation? - ?Wetlands
Uncontrolled terms: Classification accuracy? - ?Land cover informations? - ?Maximum likelihood classifications? - ?Monitoring and protections? - ?Remote sensing classification? - ?Remote sensing information? - ?Remote sensing technology? - ?Spectral characteristics
Classification code: 443.1 Atmospheric Properties? - ?454.3 Ecology and Ecosystems? - ?716.1 Information Theory and Signal Processing? - ?723 Computer Software, Data Handling and Applications? - ?723.2 Data Processing and Image Processing? - ?922.1 Probability Theory? - ?951 Materials Science? - ?961 Systems Science
Numerical data indexing: Percentage 9.01e+01%
DOI: 10.6041/j.issn.1000-1298.2020.07.025
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
17. Monitoring and Forecasting Method of Winter Wheat Yield in Shandong Province
Accession number: 20203209017224
Title of translation:
Authors: Guo, Rui (1, 2); Zhu, Xiufang (1, 2); Li, Shibo (3); Hou, Chenyao (2)
Author affiliation: (1) State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing; 100875, China; (2) Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing; 100875, China; (3) School of Land Science and Technology, China University of Geoscience, Beijing; 100083, China
Corresponding author: Zhu, Xiufang(zhuxiufang@bnu.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 156-163
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In view of the low efficiency and high cost of traditional agricultural yield estimation methods, taking winter wheat in Shandong Province as an example, and the cumulative enhanced vegetation index (EVI), cumulative crop water stress indicator (CWSI) and trend yield were used to build a statistical yield estimation model in Shandong Province with least square method. Cumulative EVI was calculated from 8-day surface reflectance products (MOD09A1), cumulative CWSI was calculated from 8-day global terrestrial evapotranspiration products (MOD16A2), and trend yield was calculated using historical yield data calculated by method of time trend analysis. The yield estimation model was operated and verified in monitoring mode and forecasting mode respectively. In the monitoring mode, the provincial yield estimation accuracy was 96.91%, and the estimation accuracy of each city was above 89.64%. Heze City had the highest monitoring accuracy, which was 99.31%, and Jining City had the lowest value, which was 89.64%. In the forecasting mode, the model was operated and verified in three-time points of growth period: the end of the rejuvenated period (the 89th day), the end of the jointing period (the 121st day) and the end of the milk ripening period (the 145th day). The prediction accuracy of wheat was over 96.44% at provincial level and over 89.41% at municipal level during three-time points. The forecast accuracy of Qingdao City was the highest, with an average of 99.07%, and that of Jining City was the lowest, with an average of 89.81%. The yield estimation model had a high applicability to the estimation of crop yield at municipal and provincial levels, which can realize the constantly yield prediction. The method of monitoring and forecasting yield was conducive to timely understanding the growth condition and changes of winter wheat, and it had a certain reference value for the government departments to make scientific and effective agricultural production decisions. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 30
Main heading: Least squares approximations
Controlled terms: Agricultural robots? - ?Crops? - ?Forecasting
Uncontrolled terms: Agricultural productions? - ?Agricultural yields? - ?Enhanced vegetation index? - ?Forecasting methods? - ?Government departments? - ?Least square methods? - ?Prediction accuracy? - ?Terrestrial evapotranspiration
Classification code: 821.4 Agricultural Products? - ?921.6 Numerical Methods
Numerical data indexing: Age 2.19e-02yr, Percentage 8.94e+01%, Percentage 8.96e+01%, Percentage 8.98e+01%, Percentage 9.64e+01%, Percentage 9.69e+01%, Percentage 9.91e+01%, Percentage 9.93e+01%
DOI: 10.6041/j.issn.1000-1298.2020.07.018
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
18. Effects of Tillage with Mulching during Fallow Period on Physiological Ecology in Seedling Stage and Yield of Potato in Dry-farming Areas
Accession number: 20203209017207
Title of translation:
Authors: Hou, Xianqing (1); Li, Rong (1); Ma, Fei (1); Wang, Quanwang (1)
Author affiliation: (1) School of Agriculture, Ningxia University, Yinchuan; 750021, China
Corresponding author: Li, Rong(lirong_mail@126.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 263-273
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: According to the characteristics of seasonal drought happened in order to solve the potato drought resistance problem such as green shoots, seedling drought, after the autumn crop harvest in dry-farming areas of Southern Ningxia during 2013-2015, a field experiment was conducted to study the different tillage with mulching measures on soil water conservation effect during the fallow period, soil water and temperature, growth and physiological characteristic during the seedling stage of potato, and tuber yield and components. The treatments comprised three tillage systems in the main plots, i. e., no-tillage, subsoiling and plowing tillage, and three mulching methods in the subplots, i. e., plastic-film mulch, straw mulch and no mulch, which were in a replicated split plot design. The results showed that among the tillage systems, the polythene film and straw mulch significantly influenced the soil water and temperature status storage, the leaf protective enzyme activity was decreased, potato seedling growth was promoted, and tuber yield was increased. Meanwhile, the significant differences were found in the interaction of tillage and mulching. In the late terminal fallow period, among the same tillage methods, the mean soil water storages (0~200 cm) in the polythene film and straw mulch plots were significantly increased by 5.1% and 7.3%, respectively, compared with no mulching plot. The soil water storage was significantly 10.5% and 9.2% higher during potato seedling growth in the polythene film and straw mulch treatments than that of the no mulching treatment. Among the same tillage methods, the polythene film mulch significantly increased the mean topsoil (0~25 cm) temperature by 1. 9, whereas the straw mulch significantly reduced the soil temperature by 3.4 during emergence. Meanwhile, the film and straw mulch were more effective at increasing the emergence, plant height and biomass accumulation at potato seedling stage, compared with NM. Among all the treatment combinations, the highest mean potato tuber yields and commodity rates were obtained under the case of subsoiling in combination with straw mulch, which were significantly higher by 40.0% and 14.9% than that of conventional tillage in combination with no mulch. Therefore, in consideration of climatic and environmental feasibility, the subsoiling combined with straw mulch was a more favorable farming practice for drought resistance in seedlings and for increasing potato production, and it had a great potential to be adopted in the dry-farming areas of southern Ningxia. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 40
Main heading: Food storage
Controlled terms: Cultivation? - ?Drought? - ?Ecology? - ?Enzyme activity? - ?Film growth? - ?Physiology? - ?Plants (botany)? - ?Polyethylenes? - ?Seed? - ?Soil conservation ? - ?Soil moisture? - ?Water conservation
Uncontrolled terms: Biomass accumulation? - ?Conventional tillage? - ?Drought resistance? - ?Environmental feasibility? - ?Physiological characteristics? - ?Soil water storage? - ?Soil-water conservation? - ?Treatment combinations
Classification code: 444 Water Resources? - ?454.3 Ecology and Ecosystems? - ?461.9 Biology? - ?483.1 Soils and Soil Mechanics? - ?694.4 Storage? - ?815.1.1 Organic Polymers? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products
Numerical data indexing: Percentage 1.05e+01%, Percentage 1.49e+01%, Percentage 4.00e+01%, Percentage 5.10e+00%, Percentage 7.30e+00%, Percentage 9.20e+00%, Size 0.00e+00m to 2.00e+00m, Size 0.00e+00m to 2.50e-01m
DOI: 10.6041/j.issn.1000-1298.2020.07.030
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
19. Effects of Biocrust Covering on Soil Water Repellency and Its Variations along Precipitation Gradient on Chinese Loess Plateau
Accession number: 20203209017172
Title of translation:
Authors: Sun, Fuhai (1); Xiao, Bo (1, 2); Yao, Xiaomeng (1); Li, Shenglong (1); Wang, Guopeng (1); Ma, Shuang (1)
Author affiliation: (1) College of Land Science and Technology, China Agricultural University, Beijing; 100193, China; (2) Key Laboratory of Arable Land Conservation in North China, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing; 100193, China
Corresponding author: Xiao, Bo(xiaobo@cau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 304-312
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Soil water repellency (SWR) is an important indicator of soil physical property, and closely correlated to the processes of soil erosion and hydropedological processes. It was conducted to understand the effects of biocrusts on SWR and its variation characteristics, as well as its influencing factors in the Loess Plateau of China. SWR was assessed by using water drop penetration time (WDPT) and water repellency index (Ri) method. Along the 292~595 mm precipitation gradient, eight sampling sites were selected and the restoration age were similar at each survey sites. The SWR of biocrusts and the adjacent bare soil on each sampling site were measured by WDPT method and mini-disc infiltrometer, respectively. In the meantime, biocrusts thickness, moss biomass, moss density, bulk density, soil mechanical composition and soil organic matter were also measured to analyze its correlations with the SWR. The results showed that WDPT and Ri between biocrusts and bare soil were significant at each sampling sites (PDPT and Ri of biocrusts was average increased by 54.85 and 5.80 times as compared with the corresponding soils without biocrusts. Whether it was on the biocrusts or bare soil, the WDPT and Ri showed a similar trend, which was decreasing from south to north along the precipitation gradient in the Loess Plateau of China. In addition, the spatial variability of biocrusts SWR was higher than that of bare soil. There was a positively relationship between the WDPT and Ri of biocrusts and biocrusts thickness, silt content, clay content, soil organic matter and annual average precipitation (P≤0.032). In addition, there was a negative correlation between the WDPT and Ri of the biocrusts and the biomass and sand content (P≤0.030). No-linear regression demonstrated that the WDPT and Ri of biocrusts could be simulated by biocrusts thickness and biomass. The simulated coefficients of determination (R2), root mean squared error (RMSE) and the Nash-Sutcliffe efficiency (NSE) of biocrusts WDPT was 0.97, 5.89 s and 0.99, respectively. Correspondingly, the simulated result of biocrusts Ri was better than that of WDPT with the R2 of 0.97, RMSE of 1. 10 and NSE of 1.00. In general, the WDPT and Ri of biocrusts was decreasing from south to north along the precipitation gradient on the Loess Plateau of China, and the SWR of soil surface can be increased by the biocrusts. The WDPT and Ri distribution of biocrusts was satisfactorily simulated by biocrusts thickness and biomass. The annual average precipitation could indirectly affect the biocrusts SWR by altering the crust thickness, biomass, and soil organic matter. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 33
Main heading: Silt
Controlled terms: Biogeochemistry? - ?Biomass? - ?Landforms? - ?Mean square error? - ?Organic compounds? - ?Sediments? - ?Soil moisture
Uncontrolled terms: Loess plateau of chinas? - ?Mechanical compositions? - ?Precipitation gradients? - ?Root mean squared errors? - ?Soil physical property? - ?Soil water repellency? - ?Variation characteristics? - ?Water drop penetration time
Classification code: 481.1 Geology? - ?481.2 Geochemistry? - ?483 Soil Mechanics and Foundations? - ?483.1 Soils and Soil Mechanics? - ?804.1 Organic Compounds? - ?922.2 Mathematical Statistics
Numerical data indexing: Size 2.92e-01m to 5.95e-01m, Time 5.89e+00s
DOI: 10.6041/j.issn.1000-1298.2020.07.034
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
20. Movement and Utilization of Nitrate Nitrogen under Biodegradable Film Mulching in Arid Area
Accession number: 20203209017123
Title of translation:
Authors: Li, Xianyue (1); Leng, Xu (1); Zhang, Jingjun (1); Hu, Xiaodong (1); Fan, Xiaoqin (2)
Author affiliation: (1) College of Water Resources and Civil Engineering, Inner Mongolia Agricultural University, Huhhot; 010018, China; (2) Engineering Department, Wulanbuhe Irrigation Administration Bureau, Inner Mongolia Hetao Irrigation District, Dengkou; 015200, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 294-303
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The plastic film mulching and nitrogen fertilizer application are important agricultural patterns in arid area, which lead to serious residual plastic film in soil and low nitrogen use efficiency. The biodegradable film mulching and optimal nitrogen application can solve these problems. Different film mulching and different nitrogen application levels treatments were set, and experiment was carried out in both years in the farm of Wulanbuhe, Hetao Irrigation District. Four kinds of nitrogen levels under biodegradable film mulching was applied, including no nitrogen (BM0 for 0 kg/hm2), low nitrogen (BM1 for 160 kg/hm2), medium nitrogen (BM2 for 220 kg/hm2) and high nitrogen (BM3 for 280 kg/hm2). The base fertilizer nitrogen rate of low nitrogen, medium nitrogen and high nitrogen all were 56 kg/hm2, and high nitrogen with plastic film mulching (PM3) and high nitrogen with no mulching (NM3) treatment as controls were used, so there was six treatments in all. The effects of different film mulching and different nitrogen application rates on the distribution, accumulation, leaking and utilization efficiency of nitrogen in soil were studied. The results showed that the average nitrate content for biodegradable film mulching in the 0~50 cm soil layer was decreased by 9.49% and 28. 84%, respectively, in the third and fourth degradation stages compared with plastic film mulching, but it was increased by 20.46% and 25.74% for biodegradable film mulching compared with no film mulching (P2) had the highest combined efficiency of nitrogen, and the application of 1 kg nitrogen fertilizer can produce 27. 99 kg corn, which was the best fertilization pattern in this area under biodegradable film mulching. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 34
Main heading: Nitrogen fertilizers
Controlled terms: Agricultural robots? - ?Arid regions? - ?Biodegradable polymers? - ?Degradation? - ?Efficiency? - ?Leaching? - ?Nitrates? - ?Nitrogen fixation? - ?Plastic films? - ?Soils
Uncontrolled terms: Biodegradable film? - ?Degradation stages? - ?Fertilizer applications? - ?Hetao irrigation districts? - ?Nitrogen application rates? - ?Nitrogen-use efficiency? - ?Plastic film mulching? - ?Utilization efficiency
Classification code: 443 Meteorology? - ?444 Water Resources? - ?483.1 Soils and Soil Mechanics? - ?802.2 Chemical Reactions? - ?802.3 Chemical Operations? - ?804 Chemical Products Generally? - ?804.2 Inorganic Compounds? - ?815.1 Polymeric Materials? - ?817.1 Polymer Products? - ?913.1 Production Engineering
Numerical data indexing: Mass 1.00e+00kg, Mass 9.90e+01kg, Percentage 1.36e+02%, Percentage 1.37e+01%, Percentage 1.60e-01%, Percentage 1.84e+01%, Percentage 2.05e+01%, Percentage 2.20e+01%, Percentage 2.26e+00%, Percentage 2.45e+01%, Percentage 2.55e+02%, Percentage 2.57e+01%, Percentage 2.62e+01%, Percentage 3.36e+00%, Percentage 3.54e+01%, Percentage 3.80e+01%, Percentage 4.95e+01%, Percentage 7.80e-01%, Percentage 8.40e+01%, Percentage 8.41e+01%, Percentage 8.90e+00%, Percentage 9.49e+00%, Size 0.00e+00m to 3.00e-01m, Size 0.00e+00m to 5.00e-01m
DOI: 10.6041/j.issn.1000-1298.2020.07.033
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
21. Parameters Optimization and Experiment on Separating and Cleaning Machine for Flax Threshing Material
Accession number: 20203209017199
Title of translation:
Authors: Dai, Fei (1); Zhao, Wuyun (1); Song, Xuefeng (1); Shi, Ruijie (1); Liu, Guochun (2); Wei, Bo (2)
Author affiliation: (1) College of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou; 730070, China; (2) Gansu OK Agricultural Products Drying Equipment Engineering Research Institute Co., Ltd., Lanzhou; 730010, China
Corresponding author: Zhao, Wuyun(zhaowy@gsau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 100-108
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Flax is one of the important oil crops in Northwest China, and Gansu Province is one of the main producing areas of flax. To enhance the mechanization level of separating and cleaning of flax threshing materials, a separating and cleaning machine for flax threshing material was designed. For further study of the improved working performance of separating and cleaning machine for flax threshing material, the single factor parameters obtained with the analysis were determined by numerical simulation test, the Box-Behnken experimental design with three factors and three levels was performed, parameters such as amplitude of feeding device, adjust thickness of material layer and rotate speed of impurity suction fan were selected as independent variables, which would influence the seed impurity rate and the cleaning loss rate. The mathematical model was established, and then the effects of various parameters and their interactions were analyzed as well. The test results showed that effects orders of three parameters on the seed impurity rate from primary to secondary were as follows: rotate speed of impurity suction fan, amplitude of feeding device and adjust thickness of material layer. And effects orders of three parameters on the cleaning loss rate from primary to secondary were as follows: rotate speed of impurity suction fan, adjust thickness of material layer and amplitude of feeding device. The optimal working parameters were amplitude of feeding device of 16.5 mm, adjust thickness of material layer of 7.0 mm and rotate speed of impurity suction fan of 1 775 r/min (that was, the speed conversion frequency of the impurity suction fan was 59.2 Hz). Confirmatory tests showed that the average value of the seed impurity rate and the cleaning loss rate were 7.86% and 1.58%, which compared with before the optimization had dropped significantly, the degree of impurity and loss of flax threshing material in mechanized separation and cleaning could be alleviated under the condition of optimizing working parameters. The results can provide theoretical basis and technical references for the parameter selection and optimization of small grain crop threshing material separating and cleaning equipment development. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Cleaning
Controlled terms: Crops? - ?Fans? - ?Feeding? - ?Flax? - ?Impurities? - ?Linen? - ?Separation? - ?Speed
Uncontrolled terms: Box-Behnken experimental design? - ?Cleaning equipments? - ?Conversion frequencies? - ?Independent variables? - ?Parameter selection? - ?Parameters optimization? - ?Working parameters? - ?Working performance
Classification code: 618.3 Blowers and Fans? - ?691.2 Materials Handling Methods? - ?802.3 Chemical Operations? - ?819.1 Natural Fibers? - ?819.5 Textile Products and Processing? - ?821.4 Agricultural Products? - ?951 Materials Science
Numerical data indexing: Frequency 5.92e+01Hz, Percentage 1.58e+00%, Percentage 7.86e+00%, Rotational_Speed 1.78e+03RPM, Size 1.65e-02m, Size 7.00e-03m
DOI: 10.6041/j.issn.1000-1298.2020.07.012
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
22. Effect of Heat Treatment on Freeze-thaw Stability of Glycosylated Soy Protein Emulsion
Accession number: 20203209017179
Title of translation:
Authors: Wang, Xibo (1); Zhou, Guowei (1); Wang, Xiaodan (1); Wang, Lin (1); Zhang, Anqi (1); Wang, Yuying (1)
Author affiliation: (1) College of Food Science, Northeast Agricultural University, Harbin; 150030, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 389-396
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The effects of temperature on the freeze-thaw stability of glycosylated soy protein isolate (SPI) and soy protein isolate hydrolysate (SPH) were investigated. The covalent compounds were prepared by conjugating SPI, SPH and D via heated Maillard reaction, which the products were called as SPI-D and SPH-D respectively. The glycosylation products were determined by using SDS-PAGE, and freeze-thaw stability of emulsion was evaluated by analyzing particle size, degree of coalescence, oil yield, emulsion index and microstructure of emulsion. It can be seen by SDS-PAGE that SPI and D formed a covalent complex by Maillard reaction. In addition, the study indicated that the freeze-thaw stability of all heat-treated samples was improved. Compared with the control, the particle size of the heat-treated emulsion was decreased after three freeze-thaw cycles, the degree of coalescence and oiling off was also reduced. The degree of coalescence of SPI was reduced from 3 403.90% of untreated to 348.75% of processed at 90, that of SPI-D was decreased from 1 181.49% to 191.59%, that of SPH-D was decreased from 806.17% to 138.73%, and the oil yield was also decreased by 62.53%, 43.26% and 42.62%, respectively. With the increase of temperature (30~90), the emulsion index of SPI showed a decreasing trend. When the temperature reached 90, the emulsion index was decreased by 22.46%, while the emulsion index of SPI-D and SPH-D also showed an overall decreasing trend after heat treatment (30~90). It can be observed from the microscope that the heat-treated emulsion that was subjected to three freeze-thaw cycles still had the small size of oil droplets. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 36
Main heading: After-heat treatment
Controlled terms: Chemical reactions? - ?Coalescence? - ?Emulsification? - ?Freezing? - ?Glycosylation? - ?Hydrodynamics? - ?Particle size? - ?Proteins? - ?Stability? - ?Temperature ? - ?Thawing
Uncontrolled terms: Covalent complex? - ?Covalent compounds? - ?Effect of heat treatments? - ?Effects of temperature? - ?Freeze-thaw cycles? - ?Freeze-thaw stability? - ?Maillard reaction? - ?Soy protein isolates
Classification code: 641.1 Thermodynamics? - ?801.2 Biochemistry? - ?801.3 Colloid Chemistry? - ?802.2 Chemical Reactions? - ?802.3 Chemical Operations? - ?804.1 Organic Compounds
Numerical data indexing: Percentage 1.81e+02% to 1.92e+02%, Percentage 2.25e+01%, Percentage 3.49e+02%, Percentage 4.04e+02%, Percentage 4.26e+01%, Percentage 4.33e+01%, Percentage 6.25e+01%, Percentage 8.06e+02% to 1.39e+02%
DOI: 10.6041/j.issn.1000-1298.2020.07.044
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
23. Anaerobic Digestion Performance of Corn Stalk under Different Compression Ratio and Silage Time
Accession number: 20203209017184
Title of translation:
Authors: Sheng, Kai (1, 2); Ran, Yi (3, 4); Ai, Ping (1, 5); Zhang, Xiuzhi (1); Meng, Liang (1); Zhang, Yanlin (1)
Author affiliation: (1) College of Engineering, Huazhong Agricultural University, Wuhan; 430070, China; (2) College of Mechanical Engineering, Hubei University of Technology, Wuhan; 430068, China; (3) Key Laboratory of Development and Application of Rural Renewable Energy, Ministry of Agriculture and Rural Affairs, Chengdu; 610041, China; (4) Risk Assessment Laboratory of the Quality Safety of Biomass Fermentation Products, Ministry of Agriculture and Rural Affairs, Chengdu; 610041, China; (5) The Cooperative Innovation Center for Sustainable Pig Production, Wuhan; 430070, China
Corresponding author: Ai, Ping(aiping@mail.hzau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 338-345
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Silage is an important way to ensure long-term storage and sustainable supply of straw, and more convenient for storage and transportation after compression. However, when silage compressed straw was used for anaerobic digestion to produce biogas, there is a lack of influence on the biogas yield performance of compressed silage parameters. Corn stovers were used as substrate to study the changes of characteristics after different time and different ratios of compressed silage, and the anaerobic digestion biogas yield characteristics were tested. The results showed that with the extension of silage time, the material loss of corn stover was serious, the high-density of corn stover in the long-term silage can effectively reduce the dry matter loss. After 300 d of silage, the cellulose mass fraction of corn stalks was decreased significantly. But after compression, the mass fraction of cellulose and hemicellulose was higher than that of the original straw by 8.5% and 10.6% under the 1: 6 compression ratio, respectively. The TS recovery rate of the uncompressed group was 26.5% at 300 d silage, and the TS recovery rate of the 1: 6 compression group was 51.0%. It was 92.5% higher than that of the uncompressed group. The prolongation of silage time significantly reduced the biogas potential of corn stover. At 40 d of silage, the cumulative biogas yield of the uncompressed group was 23.2 mL/g, the 1: 6 compression group was 282.9 mL/g. At 300 d of silage, the biogas yield potential of the uncompressed group was lost (2.3 mL/g), and the cumulative biogas yield of the 1: 6 compression group was 200.3 mL/g, indicating that high compression ratio was more beneficial to maintain the biogas performance of silage straw. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 23
Main heading: Anaerobic digestion
Controlled terms: Biogas? - ?Cellulose
Uncontrolled terms: Cellulose and hemicellulose? - ?Digestion performance? - ?Dry matter loss? - ?High compression ratio? - ?Long-term storage? - ?Storage and transportations? - ?Yield characteristics? - ?Yield potential
Classification code: 522 Gas Fuels? - ?811.3 Cellulose, Lignin and Derivatives
Numerical data indexing: Percentage 1.06e+01%, Percentage 2.65e+01%, Percentage 5.10e+01%, Percentage 8.50e+00%, Percentage 9.25e+01%, Specific_Volume 2.00e-01m3/kg, Specific_Volume 2.30e-03m3/kg, Specific_Volume 2.32e-02m3/kg, Specific_Volume 2.83e-01m3/kg
DOI: 10.6041/j.issn.1000-1298.2020.07.038
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
24. Analysis of Volatile Compounds in Fish Meal Based on SPME-GC-MS and Electronic Nose
Accession number: 20203209017233
Title of translation: SPME-GC-MS
Authors: Li, Pei (1); Niu, Zhiyou (1, 2); Zhu, Ming (1, 2); Shao, Kaiyi (1); Geng, Jie (1); Li, Hongcheng (1)
Author affiliation: (1) College of Engineering, Huazhong Agricultural University, Wuhan; 430070, China; (2) Key Laboratory of Agricultural Equipment in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan; 430070, China
Corresponding author: Niu, Zhiyou(nzhy@mail.hzau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 397-405
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to analyze the freshness of fish meal comprehensively and quickly, the electronic nose and SPME-GC-MS were combined to evaluate the freshness of fish meal through the content of volatile components. The volatile components of fish meal with 18 different storage times levels was analyzed by solid-phase headspace microextraction, and the kinds and contents of volatile components in fish meal were obtained at different storage time, and the change rule of volatile components was obtained. Multiple linear regression and KNN regression were used to model various volatile components and freshness markers of fish meal and the response of electronic nose sensors. A total of 101 volatile compounds were detected, including 11 alcohols, 20 aldehydes, 26 ketones, 8 acids, 9 hydrocarbons, 15 nitrogen-containing compounds, 4 sulfur-containing compounds and other compounds. Among them, there were more aldehyde ketones, less esters, phenols and ethers. Ethoxyquin and γ-dehydrogenase were also detected in the volatile gas of fish meal, the reason was that fish meal, as a feed material, was not only a simple processing of raw fish, and also required other additives to facilitate the transportation and storage of fish meal. At the beginning of storage, the relative content of aldehydes was 48.99%, but at the end of storage, the relative content of aldehydes was 0.95%. The relative content of aldehydes was significantly reduced, while the relative content of ketones was increased. At the beginning of storage, the relative content of ketones was 28.55%, but at the end of storage, it was 51.43 %. The results showed that the freshness of fish meal was characterized by trimethylamine, 3-methyl-1-butanol, dimethyl disulfide and dimethyl trisulfide. The relative contents of alcohols showed a downward trend after the first increase, acids, nitrogenous compounds and sulfur compounds showed an upward trend. The models of various volatile components in fish meal and the markers representing freshness and the sensor responses of electronic nose were established by multiple linear regression method and KNN regression method. The results showed that the KNN regression method had higher accuracy than multiple linear regression method. The correlation coefficient was between 0.763 3 and 0.999 9, and RMSE was between 0.086 7% and 8. 465 5%. Therefore, these volatile components can be well predicted from electronic nose measurement. The results can be used as reference for understanding the flavor composition and change rule of volatile components of fish meal during storage, and for judging the freshness of fish meal according to the smell component. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 31
Main heading: Electronic nose
Controlled terms: Additives? - ?Aldehydes? - ?Fish? - ?Ketones? - ?Linear regression? - ?Storage (materials)? - ?Sulfur compounds? - ?Volatile organic compounds
Uncontrolled terms: Correlation coefficient? - ?Dimethyl disulfides? - ?Multiple linear regression method? - ?Multiple linear regressions? - ?Nitrogenous compounds? - ?Sulfur containing compound? - ?Volatile components? - ?Volatile compounds
Classification code: 694.4 Storage? - ?801 Chemistry? - ?803 Chemical Agents and Basic Industrial Chemicals? - ?804.1 Organic Compounds? - ?922.2 Mathematical Statistics
Numerical data indexing: Percentage 2.86e+01%, Percentage 4.66e+03%, Percentage 4.90e+01%, Percentage 5.14e+01%, Percentage 9.50e-01%
DOI: 10.6041/j.issn.1000-1298.2020.07.045
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
25. Segmentation Method of Dairy Cattle Gait Based on Improved Dynamic Time Warping Algorithm
Accession number: 20203209017170
Title of translation:
Authors: Su, Lide (1); Zhang, Yong (1); Wang, Jian (1); Yin, Yu (1); Zong, Zheying (1); Gong, Caili (2)
Author affiliation: (1) College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Huhhot; 010018, China; (2) College of Electronic Information Engineering, Inner Mongolia University, Huhhot; 010021, China
Corresponding author: Zhang, Yong(yongz@imau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 52-59
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Lameness, as the second major disease affecting cows, has exerted great influence on the economic benefits and welfare rearing of the pasture. The accurate extraction of gait features is the key to recognizing lameness, while the precise segmentation of gait is the prerequisite. In view of the shortcomings in the current artificial segmentation of cow gait, an automatic method of cow gait segmentation was proposed based on the improved dynamic time warping algorithm. In the pasture, 21 sound cows and 9 lame cows were selected. The acceleration signals of their hind legs were collected by three-dimensional accelerometers through a measuring channel with a length of 23 m. The gold standard data were obtained by shooting walking videos with a high-speed camera. The algorithm segmented a single stride from a continuous gait sequence, extracted the gait feature values, and established a model of recognizing cow lameness using the method of logical regression. The experimental results showed that the segmentation of gait precision, sensitivity and accuracy were 89.53%, 95.51% and 87.49%, respectively. Compared with the values obtained by the conventional dynamic time warping algorithm, the average precision, sensitivity and accuracy of gait segmentation obtained by this algorithm were improved by 5.31, 4.48 and 8.43 percentage points, respectively. Besides, there were 1.75 and 3.13 percentage points of increase compared with the autocorrelation function method and peak detection method, and the total accuracy reached 90.57%. The total recognition rate of the lameness recognition model arrived at 83.44%, 81.72%, 86.15%, 86.81%, 89.45% and 85.71%, respectively, taking the stance time, stride length, average intensity, signal amplitude area, average acceleration in the forward direction and movement variation as independent variables. Hopefully, the results can provide technical support for gait segmentation and lameness recognition. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 32
Main heading: Economic and social effects
Controlled terms: Agriculture? - ?Gait analysis? - ?High speed cameras
Uncontrolled terms: Acceleration signals? - ?Autocorrelation functions? - ?Dynamic time warping algorithms? - ?Independent variables? - ?Percentage points? - ?Recognition models? - ?Segmentation methods? - ?Technical support
Classification code: 461.3 Biomechanics, Bionics and Biomimetics? - ?742.2 Photographic Equipment? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?971 Social Sciences
Numerical data indexing: Percentage 8.17e+01%, Percentage 8.34e+01%, Percentage 8.57e+01%, Percentage 8.62e+01%, Percentage 8.68e+01%, Percentage 8.75e+01%, Percentage 8.95e+01%, Percentage 9.06e+01%, Percentage 9.55e+01%, Size 2.30e+01m
DOI: 10.6041/j.issn.1000-1298.2020.07.007
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
26. Design and Test of Transverse Transplanter for Pre-cut Sugarcane
Accession number: 20203209017141
Title of translation:
Authors: Ma, Fanglan (1); Liu, Tianxiang (1); Li, Shangping (2); Luo, Xiaohu (1); Wu, Fei (1); Yu, Yunfa (1)
Author affiliation: (1) College of Mechanical Engineering, Guangxi University, Nanning; 530004, China; (2) College of Information Science and Engineering, Guangxi University for Nationalities, Nanning; 530006, China
Corresponding author: Li, Shangping(spli501@vip.sina.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 72-81
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to realize the accurate horizontal seeding of sugarcane seeds, a kind of pre-cutting sugarcane transplanter was designed. The influence that the speed of seed metering chain, angle of chain and angle of cane box made on the performance of planting was confirmed by analyzing the movement of the planting device and the simulation study. By using the sugarcane planter test platform, the physical experiments of the first-stage chain speed, the angle of conveyor chain inclination and the cane box inclination angle of planting device were carried out. The experiment results showed that the angle of chain had a very significant impact on the performance of planter. The speed of chain shaft and angle of box had no significant effect on the performance of planter. The order of primary and secondary factors affecting performance was the angle of conveyor chain, rotation speed of chain shaft, and inclination angle of cane box. There was no interaction between these factors. The optimal value of chain angle was 55°, the best value of chain shaft speed was 9.16 r/min, the best inclination angle of cane box was 45°. In performance verification experiments, missing seed rate was 5%, replanting rate was 3.2% and pass rate was 92.6%. The reseed phenomenon during the planting can be effectively avoided. The seed consumption can be reduced during the planting process, and the missing seed phenomenon can also be avoided during the planting process. The qualified rate of seed metering direction was 93.37%, and the qualified rate of seed metering plant spacing was 90.33%. The spacing of planting was between 33 cm and 49.5 cm (a reasonable range), and the precise horizontal planting of double-buds section sugarcane can be realized. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 21
Main heading: Seed
Controlled terms: Agricultural machinery? - ?Conveyors? - ?Speed
Uncontrolled terms: Design and tests? - ?Inclination angles? - ?Optimal values? - ?Performance verification? - ?Physical experiments? - ?Rotation speed? - ?Simulation studies? - ?Test platforms
Classification code: 692.1 Conveyors? - ?821.1 Agricultural Machinery and Equipment? - ?821.4 Agricultural Products
Numerical data indexing: Percentage 3.20e+00%, Percentage 5.00e+00%, Percentage 9.03e+01%, Percentage 9.26e+01%, Percentage 9.34e+01%, Rotational_Speed 9.16e+00RPM
DOI: 10.6041/j.issn.1000-1298.2020.07.009
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
27. Head and Tail Identification Method for Group-housed Pigs Based on YOLO v3 and Pictorial Structure Model
Accession number: 20203209017181
Title of translation: YOLO v3
Authors: Li, Bo (1); Shen, Mingxia (1); Liu, Longshen (1); Lu, Mingzhou (1); Sun, Yuwen (1)
Author affiliation: (1) College of Engineering, Nanjing Agricultural University, Nanjing; 210031, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 44-51
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: For automatic behavior monitoring of group-housed pigs in video surveillance, pig head/tail identification has important significance to improve the level of behavior recognition. A head-tail recognition algorithm was proposed based on YOLO v3 (You only look once v3) and pictorial structure models. Firstly, the object detectors of three categories, i. e., pigs, heads and tails, were trained with YOLO v3, which was a general object detection model based on deep convolutional neural networks. In this way, bounding boxes of pigs, heads and tails can be detected from the input image. Next, pictorial structure models were introduced to describe structural characteristics of heads and tails for pigs. For each detected bounding box of pigs, scores of all possible head-tail combinations were computed with the established pictorial structure model to choose the optimal part configuration. When a head or tail was missed in the pig bounding box, a part inference method based on threshold segmentation was utilized to estimate the missing part according to the major axis of the fitted ellipse. In experiments, an image dataset was constructed from a top-view surveillance video of group-housed pigs. Experimental results demonstrated that via the proposed method, the precision and recall of part localization were improved compared with results of YOLO v3. Moreover, the head/tail identification accuracy reached 96.22%, which obviously outperformed other methods based on intersection of bounding boxes and generalized Hough clustering. As a result, the proposed method can effectively detect pigs and distinguish their heads/tails in images of group-housed pigs without excessive limitations on environments. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Mammals
Controlled terms: Behavioral research? - ?Convolutional neural networks? - ?Deep neural networks? - ?Image segmentation? - ?Object detection? - ?Object recognition? - ?Security systems
Uncontrolled terms: Behavior recognition? - ?Identification accuracy? - ?Identification method? - ?Pictorial structures? - ?Precision and recall? - ?Recognition algorithm? - ?Structural characteristics? - ?Threshold segmentation
Classification code: 723.2 Data Processing and Image Processing? - ?914.1 Accidents and Accident Prevention? - ?971 Social Sciences
Numerical data indexing: Percentage 9.62e+01%
DOI: 10.6041/j.issn.1000-1298.2020.07.006
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
28. Detection and Location of Pine Wilt Disease Induced Dead Pine Trees Based on Faster R-CNN
Accession number: 20203209017216
Title of translation: Faster R-CNN
Authors: Xu, Xinluo (1); Tao, Huan (2); Li, Cunjun (2); Cheng, Cheng (2); Guo, Hang (1); Zhou, Jingping (2)
Author affiliation: (1) School of Information Engineering, Nanchang University, Nanchang; 330031, China; (2) Beijing Research Center for Information Technology in Agriculture, Beijing; 100097, China
Corresponding author: Tao, Huan(taoh.11s@igsnrr.ac.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 228-236
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Pine wilt disease (PWD) is a devastating infectious disease for the rapid spread, short disease period, and strong pathogenic ability. At present, detecting the PWD induced dead pine trees (DPT) timely and then taking corresponding measures are vital to control the spread of PWD. An unmanned aerial vehicle (UAV) platform equipped with the Vis-RGB digital camera was used to obtain the ultra-high spatial resolution images. Deep learning object detection of Faster R-CNN was adopted to detect the DPT automatically. Different from the previous research on the DPT identification, the influences of other dead trees and red broad-leaved trees on DPT identification were considered. The results showed that Faster R-CNN can effectively identify the DPT. The 6.78 percentage points detection accuracy of the DPT would be improved when taking the anchor size, other dead trees and red broad-leaved trees into consideration. The overall accuracy of DPT detection can reach 82.42%, which can meet the protector for felling of the DPT. Finally, the position of predicted DPT was calculated accurately using coordinate transformation. Combined with the point combination process, 494 DPT were correctly located. This research had the advantages of low cost, high efficiency and automatic identification, and can provide technical support for the prevention and control of PWD. The combination of UAV remote sensing and object detection algorithms was a promising method to monitor the occurrence of PWD and the distribution of the DPT, which provided important basis for the consequence harmless treatment of PWD induced DPT. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 38
Main heading: Titration
Controlled terms: Aircraft detection? - ?Antennas? - ?Automation? - ?Convolutional neural networks? - ?Deep learning? - ?Forestry? - ?Object detection? - ?Object recognition? - ?Remote sensing? - ?Unmanned aerial vehicles (UAV)
Uncontrolled terms: Co-ordinate transformation? - ?Combination process? - ?Corresponding measures? - ?Detection accuracy? - ?Harmless treatments? - ?Infectious disease? - ?Object detection algorithms? - ?Prevention and controls
Classification code: 652.1 Aircraft, General? - ?716.2 Radar Systems and Equipment? - ?723.2 Data Processing and Image Processing? - ?731 Automatic Control Principles and Applications? - ?801 Chemistry
Numerical data indexing: Percentage 8.24e+01%
DOI: 10.6041/j.issn.1000-1298.2020.07.026
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
29. Design of Automatic Static Load Test System of Tractor Roll-over Protective Structures
Accession number: 20203209017194
Title of translation:
Authors: Liu, Deying (1); Li, Heqing (1); Bian, Zhaojuan (2); Yan, Yizhe (1); Zhang, Huaxi (1); Yu, Haiming (1)
Author affiliation: (1) College of Engineering, Nanjing Agricultural University, Nanjing; 210031, China; (2) Jiangsu Agricultural Machinery Testing Station, Nanjing; 210017, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 406-412
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming to solve the problem of the cumbersome adjustment of the static test equipment of tractor roll-over protective structures, high labor intensity, the low degree of automation and efficiency of operation, a static load test system for tractor roll-over protective structures which can greatly reduce labor force, improve automation level and increase the utilization of site was developed. Based on the modular design of the test system, it was composed of mechanical loading and auxiliary system, hydraulic power source system, data acquisition and processing system, control system, etc. The tractor roll-over protective structure was fixed by disposable clamping, and the static load test of the tractor roll-over protective structures under different working conditions was realized by moving the loading column in different spatial locations, pressing the beam, manual or remote adjustment and automatic loading and so on. The test system established the communication between the industrial computer and the PLC, it had a wide range of applications, and it can not only test the four-post and six-post cabs of agricultural machinery, but also test the folding and non-folding safety frames. The horizontal longitudinal, lateral and two times vertical pressure tests of WD1104 wheeled tractor safety cab were carried out by using the test system. The results showed that the performance of the system was stable, the energy control error under longitudinal loading and lateral loading was 0.55% and 0.03%, the crushing force control error of vertical rear crushing and vertical front crushing tests was 0.63% and 0.16%, respectively. Therefore, the static load test system can meet the requirements of the relevant standards for test equipment. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Automobile testing
Controlled terms: Accident prevention? - ?Agricultural robots? - ?Crushing? - ?Data acquisition? - ?Data handling? - ?Load testing? - ?Loads (forces)? - ?Tractors (agricultural)? - ?Tractors (truck)
Uncontrolled terms: Auxiliary systems? - ?Data acquisition and processing systems? - ?Industrial computers? - ?Longitudinal loading? - ?Mechanical loading? - ?Protective structures? - ?Static load tests? - ?Vertical pressure
Classification code: 408 Structural Design? - ?662 Automobiles and Smaller Vehicles? - ?663.1 Heavy Duty Motor Vehicles? - ?723.2 Data Processing and Image Processing? - ?914.1 Accidents and Accident Prevention
Numerical data indexing: Percentage 1.60e-01%, Percentage 3.00e-02%, Percentage 5.50e-01%, Percentage 6.30e-01%
DOI: 10.6041/j.issn.1000-1298.2020.07.046
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
30. Response of Process of Y-net Filter Clogging to Organic Fertilizer Concentration
Accession number: 20203209017151
Title of translation: Y
Authors: Zhu, Delan (1, 2); Wang, Rong (1, 2); Ruan, Hancheng (1, 2)
Author affiliation: (1) College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling; Shaanxi; 712100, China; (2) Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northeast A&F University, Yangling; Shaanxi; 712100, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 332-337
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to study the blockage law of Y mesh filter used to filter organic fertilizer in water and fertilizer integrated equipment, the clogging test of Y type mesh filter was carried out at the initial flow rate of 500 L/h and the water source pressure of 117.6 kPa, and the concentration levels of four kinds of potassium fulvic acid organic fertilizer solution, 25 g/L, 30 g/L, 40 g/L and 50 g/L were set up. The relationship between the local head loss coefficient of Y type mesh filter and the effective cross section area of single filter, the proportion of single filter effective cross section area and total area S/S0 was analyzed, and the composition of blockage material in the filter was analyzed by XRD. The results showed that the concentration of fertilizer solution had a significant effect on the screen cleanness of the filter. It was suggested that when the concentration of fertilizer solution was not more than 40 g/L; the flow rate of 4 m head loss in the filter was decreased by 17%~20%. The local head loss of filter was increased gradually when the screen cleanness was reduced to 10%. Correlation analyses displayed the local head loss coefficient of filter was only related to S/S0 and independent of fertilizer concentration. Furthermore, the formula for calculating the local head loss coefficient of filter under potassium fulvic acid organic fertilizer was put forward by using multinomial fitting; filter-element blocking substances mainly included calcium sulfate and calcium oxalate. The research results can provide some theoretical reference for the selection of filter in water and fertilizer integrated machine. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 22
Main heading: Fertilizers
Controlled terms: Calcium compounds? - ?Mesh generation? - ?Organic acids? - ?Sulfur compounds
Uncontrolled terms: Calcium oxalates? - ?Concentration levels? - ?Correlation analysis? - ?Effective cross sections? - ?Integrated equipment? - ?Integrated machines? - ?Organic fertilizers? - ?Research results
Classification code: 723.5 Computer Applications? - ?804 Chemical Products Generally? - ?804.1 Organic Compounds
Numerical data indexing: Mass_Density 2.50e+01kg/m3, Mass_Density 3.00e+01kg/m3, Mass_Density 4.00e+01kg/m3, Mass_Density 5.00e+01kg/m3, Percentage 1.00e+01%, Pressure 1.18e+05Pa, Size 4.00e+00m
DOI: 10.6041/j.issn.1000-1298.2020.07.037
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
31. Winter Wheat Yield Estimation Based on UAV Hyperspectral Remote Sensing Data
Accession number: 20203209017201
Title of translation:
Authors: Tao, Huilin (1); Xu, Liangji (2); Feng, Haikuan (1, 3); Yang, Guijun (1, 4); Yang, Xiaodong (3, 4); Niu, Yachao (2)
Author affiliation: (1) Key Laboratory of Quantitative Remote Sensing in Agriculture, Ministry of Agriculture and Rural Affairs, Beijing Research Center for Information Technology in Agriculture, Beijing; 100097, China; (2) School of Geodesy and Geomatics, Anhui University of Science and Technology, Huainan; 232001, China; (3) National Engineering Research Center for Information Technology in Agriculture, Beijing; 100097, China; (4) Beijing Engineering Research Center for Agriculture Internet of Things, Beijing; 100097, China
Corresponding author: Feng, Haikuan(fenghaikuan123@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 146-155
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to predict crop yields efficiently and accurately, winter wheat was taken as the research object, a UAV remote sensing platform was used, and a hyperspectral camera was carried to obtain UAV images of each growth stage to estimate crop yields. In order to accurately predict the yield, according to the characteristics of hyperspectral with more spectral information and the unique red edge area, nine vegetation indices and five red edge parameters were selected. The correlation between vegetation indices and red edge parameters and yield was analyzed. Five vegetation indices and two red edge parameters were selected for constructing yield estimation models, and then three yield estimation models with different growth stages were constructed: single-parameter linear regression model, model based on vegetation indices using partial least squares regression method, model based on vegetation indices combined with red edge parameters and using partial least squares regression method, and using different models to estimate winter wheat yield. The results showed that most of the vegetation indices and red edge parameters of the four growing stages were very significantly correlated with yield. Single-parameter linear regression models constructed at the jointing, flagging, flowering and filling stages, with the best performing parameters being REP, Dr/Drmin, GNDVI and GNDVI. The partial least squares regression method was used to improve the accuracy of yield estimation. At the same time, the model constructed with the vegetation indices combined with the red edge parameters as the factor improved the yield estimation effect (better than the yield model constructed with the vegetation indices as the factor). The research result provided a reference for UAV hyperspectral to estimate crop yield in agriculture. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 51
Main heading: Parameter estimation
Controlled terms: Agricultural robots? - ?Crops? - ?Least squares approximations? - ?Regression analysis? - ?Remote sensing? - ?Unmanned aerial vehicles (UAV)? - ?Vegetation
Uncontrolled terms: Different growth stages? - ?Hyper-spectral cameras? - ?Hyperspectral remote sensing data? - ?Linear regression models? - ?Partial least squares regression? - ?Red edge parameters? - ?Spectral information? - ?Winter wheat yields
Classification code: 652.1 Aircraft, General? - ?821.4 Agricultural Products? - ?921.6 Numerical Methods? - ?922.2 Mathematical Statistics
DOI: 10.6041/j.issn.1000-1298.2020.07.017
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
32. System Analysis and Development Prospect of Unmanned Farming
Accession number: 20203209017140
Title of translation:
Authors: Li, Daoliang (1, 2); Li, Zhen (1, 2)
Author affiliation: (1) College of Information and Electronics Engineering, China Agricultural University, Beijing; 100083, China; (2) National Innovation Center for Digital Fishery, Beijing; 100083, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 1-12
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: With the development of industrialization and urbanization, Chinese labor cost is gradually increasing, and the aging and shortage of agricultural labor force has become increasingly noticeable. As the traditional agricultural labor force withdraws from the first-line production, therefore, the needs for “machine substitute for man” is increasing too. Unmanned farm is a kind of all-weather, entire-process, whole-space unmanned production mode, which uses the new generation of information technology such as Internet of things, big data, artificial intelligence, 5G, and robot to complete farm production operations through remote automatic control of facilities, equipment, machinery or autonomous robot control. It included four parts: firstly, the concept, technical framework and three development stages of the unmanned farm were systematically introduced; secondly, four key technologies were systematically put forward: Internet of things, big data, artificial intelligence, intelligent equipment and robot, and four system components: infrastructure system, operation equipment system, measurement and control system and cloud management and control platform system, and five typical farm applications of the unmanned farm: unmanned fields, unmanned greenhouses, unmanned orchards, unmanned livestock farms and unmanned fisheries; finally, the forward of the development strategy of unmanned farm in China was suggested. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 113
Main heading: Information management
Controlled terms: 5G mobile communication systems? - ?Agricultural robots? - ?Agriculture? - ?Artificial intelligence? - ?Automation? - ?Big data? - ?Intelligent robots? - ?Internet of things? - ?Machinery? - ?Man machine systems ? - ?Wages
Uncontrolled terms: Agricultural labors? - ?Autonomous robot control? - ?Development prospects? - ?Development strategies? - ?Infrastructure systems? - ?Intelligent equipment? - ?Measurement and control systems? - ?Technical frameworks
Classification code: 723 Computer Software, Data Handling and Applications? - ?731 Automatic Control Principles and Applications? - ?731.6 Robot Applications? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?912.4 Personnel
DOI: 10.6041/j.issn.1000-1298.2020.07.001
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
33. Integrity Recognition of Camellia oleifera Seeds Based on Convolutional Neural Network
Accession number: 20203209017154
Title of translation:
Authors: Xie, Weijun (1); Ding, Yechun (2, 3); Wang, Fenghe (1); Wei, Shuo (1); Yang, Deyong (1)
Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) School of Pharmacy, Gannan Medical University, Ganzhou; 341000, China; (3) Collaborative Innovation Center for Gannan Oil Tea Camellia Industrial Development, Gannan Medical University, Ganzhou; 341000, China
Corresponding author: Yang, Deyong(ydy@cau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 13-21
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to solve the problem that the color sorter can not recognize the intact and the broken Camellia oleifera seeds, an integrity recognition algorithm of Camellia oleifera seed based on convolution neural network was proposed and the image database of Camellia oleifera seed was constructed. The network structure simplification and hyper-parameter optimization was conducted to improve the classification accuracy and real-time performance of the model. Firstly, the batch normalization (BN) layer of the model was selected by the comparison experiment, which speeded up the training of the model and improved the generalization performance of the model. Moreover, the Swish function was chosen as the model activation function, which improved the recognition accuracy and speeded up the convergence of the model. Furthermore, the depth and width of the network were changed to compress the size of the model and shorten the training time. In depth, the model included four convolution layers and one fully connected layer. And in the width, the number of local receptive fields (LRFs) in the convolution layers and the number of nodes in the fully connected layer were compressed. And the second and third convolution layers were replaced by the depthwise convolutions. After the structural improvement, the model was transferred to CO-Net, which was more suitable for the integrity identification of Camellia oleifera seeds. Besides, the hyper-parameters (batch size and learning rate) that affected the performance of the model were optimized. The final model (CO-Net) not only improved the classification accuracy but also speeded up the training convergence speed and enhanced the generalization performance of the model. The results showed that the accuracy of the optimized network was 98.05%, the training time was only 0. 58 h, and the model size was only 1.65 MB. The average time of detecting an image of Camellia oleifera seed was only 13.91 ms, which can meet the requirements of real-time sorting of Camellia oleifera seed. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 27
Main heading: Convolutional neural networks
Controlled terms: Convolution
Uncontrolled terms: Camellia oleifera seeds? - ?Classification accuracy? - ?Convolution neural network? - ?Generalization performance? - ?Hyper-parameter optimizations? - ?Real time performance? - ?Recognition algorithm? - ?Structural improvements
Classification code: 716.1 Information Theory and Signal Processing
Numerical data indexing: Percentage 9.80e+01%, Time 1.39e-02s, Time 2.09e+05s
DOI: 10.6041/j.issn.1000-1298.2020.07.002
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
34. Design and Experiment of Device for Chopping Stalk of Header of Maize Harvester
Accession number: 20203209017232
Title of translation:
Authors: Wang, Lijun (1); Zhang, Zhiheng (1); Liu, Tianhua (1); Wang, Yijiao (1); Jia, Fei (1); Jiang, Jiaxu (1)
Author affiliation: (1) College of Engineering, Northeast Agricultural University, Harbin; 150030, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 109-117
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: During the maize harvest, to increase the percentage of qualified length of stalk chopped and degree of stalk breakage to accelerate the decomposition rate after the straw being returned to the field, the device for chopping stalk was designed based on the mechanical properties of maize stalks and would make it be installed under the header of maize harvester. The working parameters and structural parameters affecting the working performance were obtained through the theoretical analysis. The rotational speed of shaft of chopper, fixed angle and tip angle of the blades were selected as the experimental factors. The percentage of the qualified length of stalk chopped and the percentage of the stalk broken were used as evaluation indexes. The quadratic orthogonal rotational-combinational tests were conducted. The experimental data were analyzed by the response surface method, and the multi-objective optimization algorithm of Design-Expert software was used to optimize the parameters. The results showed that the rotational speed of shaft of chopper had the most significant effect on the percentage of qualified length of stalk chopped, and then the tip angle, finally the fixed angle, and the rotational speed of shaft of chopper had the most significant effect on the percentage of the stalk broken, and then the fixed angle, finally the tip angle. The optimized parameters of the device for chopping stalk were the rotational speed of shaft of chopper of 1 090 r/min, the fixed angle of 41°, and the tip angle of 83°. The stalk-chopping device was produced. The field tests were carried out. The percentage of the qualified length of stalk chopped and the percentage of the stalk broken were 90.21% and 85.78%, respectively. The performance of the device for chopping stalk in working was much higher than that of the current chopper device below the header of harvester. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Harvesters
Controlled terms: Choppers (circuits)? - ?Multiobjective optimization
Uncontrolled terms: Decomposition rate? - ?Experimental factors? - ?Optimized parameter? - ?Response surface method? - ?Rotational speed? - ?Structural parameter? - ?Working parameters? - ?Working performance
Classification code: 821.1 Agricultural Machinery and Equipment? - ?921.5 Optimization Techniques
Numerical data indexing: Percentage 8.58e+01%, Percentage 9.02e+01%, Rotational_Speed 1.09e+03RPM
DOI: 10.6041/j.issn.1000-1298.2020.07.013
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
35. Difference of Muscle Fiber Types in Various Beef Cuts and Change of Cathepsins Activity during Postmortem Ageing
Accession number: 20203209017138
Title of translation:
Authors: Feng, Yonghong (1); Li, Haipeng (1); Zhang, Songshan (1); Xie, Peng (1); Xu, Chenchen (1); Sun, Baozhong (1)
Author affiliation: (1) Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing; 100193, China
Corresponding author: Sun, Baozhong(baozhongsun@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 355-364
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Lysosomal cathepsins are enclosed in the lysosomes, which could be released into the cytosol as a consequence of lysosomal disruption occurring after cell death. It was approved that cathepsins played an important role in the degradation of myofibrillar protein in beef during postmortem aging. Despite its significance, there was little information about the correlation between cathepsins and muscle fiber types in beef during postmortem aging. The objectives were to compare the results of ATPase staining and RT-PCR in typing muscle fibers, find out the relationship between muscle fiber type and the activity of cathepsins, and reveal the possibility that muscle fiber types affect meat quality through cathepsin activity. Eight different parts of the muscles (Semitendinosus, Latissimus dorsi, Longissimus thoracis, Infraspinatus, Biceps femoris, Gastrocnemius, Rhomboideu and Psoas major) in Xinjiang brown cattle were removed from the left side of each carcass. The muscle fiber type composition, fiber diameter and fiber cross-sectional area were detected by ATPase staining, and MyHC gene expression of each muscle was determined by RT-PCR. The changes of cathepsin B, L, H activity were investigated at 0 d, 3 d, 7 d, 9 d, 11 d and 14 d during postmortem aging, respectively. The results showed that the composition of muscle fiber types in different parts of Xinjiang brown cattle was quite different. There was a significant correlation (p ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 43
Main heading: Muscle
Controlled terms: Beef? - ?Cell death? - ?Fibers? - ?Gene expression? - ?Mammals
Uncontrolled terms: Biceps femoris? - ?Bovine muscle? - ?Cross sectional area? - ?Expression patterns? - ?Fiber diameters? - ?Muscle fiber types? - ?Myofibrillar proteins? - ?Positive correlations
Classification code: 461.2 Biological Materials and Tissue Engineering? - ?461.9 Biology? - ?822.3 Food Products
Numerical data indexing: Age 2.47e-02yr, Age 3.01e-02yr
DOI: 10.6041/j.issn.1000-1298.2020.07.040
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
36. Effects of Oxygenated Fresh Water and Brachish Water on Germination Characteristics of Wheat
Accession number: 20203209017155
Title of translation:
Authors: Wang, Quanjiu (1, 2); Gou, Li’na (1); Sun, Yan (1); Liu, Yang (1); Xie, Jiangbo (1); Zhu, Mengjie (1)
Author affiliation: (1) State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an; 710048, China; (2) State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling; Shaanxi; 712100, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 274-282
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Reasonable development and utilization of brackish water, improvement of brackish water use efficiency, and reduction of secondary salinization risk under brackish water irrigation are effective measures to alleviate the shortage of fresh water resources in China. The combination of oxygenated technology and brackish water irrigation was carried out. Based on the combination of experimental research and theoretical analysis, the effects of brackish water, oxygenated fresh water, and oxygenated brackish water on the germination characteristics of wheat seeds were studied. The results showed that under the condition of brackish water with different salinities, 2 g/L was more favorable for wheat seed germination. The germination number of wheat seed for four days were increased by oxygenated fresh water cultivation (dissolved oxygen concentration 9.5~22.5 mg/L), but the root weight and average height of shoots were inhibited during the germination process of wheat seeds. The germination rate was decreased when the dissolved oxygen concentration exceeded 22.5 mg/L, indicating that excessive dissolved oxygen concentration would inhibit the seed germination. The wheat seeds treated with different salinity brackish water under oxygenated treatment showed different appropriate dissolved oxygen concentrations. The optimum concentrations of dissolved oxygen were 19.5 mg/L under 1 g/L salinity, 22.5 mg/L under 3 g/L, and 12.5 mg/L under 5 g/L, respectively. In addition, based on the coupled experimental data of oxygenated brackish water treatment, an empirical model between the wheat seed germination rate, salinity, and dissolved oxygen concentration was established. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 28
Main heading: Dissolved oxygen
Controlled terms: Biochemical oxygen demand? - ?Cultivation? - ?Dissolution? - ?Irrigation? - ?Risk assessment? - ?Seed? - ?Water? - ?Water treatment
Uncontrolled terms: Development and utilizations? - ?Dissolved oxygen concentrations? - ?Effective measures? - ?Experimental research? - ?Fresh water resources? - ?Germination rates? - ?Optimum concentration? - ?Seed germination
Classification code: 445.1 Water Treatment Techniques? - ?802.3 Chemical Operations? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?914.1 Accidents and Accident Prevention
Numerical data indexing: Mass_Density 1.00e+00kg/m3, Mass_Density 1.25e-02kg/m3, Mass_Density 1.95e-02kg/m3, Mass_Density 2.00e+00kg/m3, Mass_Density 2.25e-02kg/m3, Mass_Density 3.00e+00kg/m3, Mass_Density 5.00e+00kg/m3, Mass_Density 9.50e-03kg/m3 to 2.25e-02kg/m3
DOI: 10.6041/j.issn.1000-1298.2020.07.031
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
37. River Extraction from Remote Sensing Images in Cold and Arid Regions Based on Deep Learning
Accession number: 20203209017171
Title of translation:
Authors: Shen, Yu (1); Yuan, Yubin (1); Peng, Jing (1); Chen, Xiaopeng (1); Yang, Qian (1)
Author affiliation: (1) School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou; 730070, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 192-201
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The extraction of rivers in cold and arid regions is of great significance in the application of ecological environment monitoring, agricultural planning, and disaster early warning in cold and arid regions. In recent years, there have been more studies on river extraction, but river extraction for cold and arid regions is still in its infancy. The rapid development of deep learning provides new ideas for river extraction in cold and arid regions. A professional data set was produced based on the characteristics of cold and arid regions to provide support for river extraction in remote sensing images in cold and arid regions. Combining transfer learning and deep learning, the ResNet50 network was migrated to the Linknet network to obtain the R-Linknet network, which was used to improve the recognition accuracy of the network. At the same time, the dense atrous spatial pyramid pooling was combined with the R-Linknet network to expand the receptive field of the network, which can extract more detailed information and increase the coherence of the extracted river. A new loss function was combined with the Dice Loss function and the binary cross entropy loss function during training. The verification on the data set showed that compared with semantic segmentation networks, the proposed method had an accuracy rate of 0.216, 0.099, 0.031, 0.056 and 0.023 higher than that of FCN_8s, ResNet50, DeeplabV3, Unet and the original Linknet network, respectively, and the intersection over union was increased by 0.190, 0.142, 0.056, 0.105 and 0.028, respectively. After adding dense atrous spatial pyramid pooling, it increased the pixel accuracy by 0.023, and improved the intersection over union by 0.050. After training with the new loss function, the pixel accuracy and crossover ratios were increased by 0.019 and 0.022, respectively. The rivers extracted by this method were more clear and consistent, and can meet the needs of subsequent research. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 32
Main heading: Deep learning
Controlled terms: Agricultural robots? - ?Arid regions? - ?Extraction? - ?Pixels? - ?Remote sensing? - ?Rivers? - ?Semantics? - ?Transfer learning
Uncontrolled terms: Agricultural planning? - ?Ecological environments? - ?Loss functions? - ?Receptive fields? - ?Recognition accuracy? - ?Remote sensing images? - ?Semantic segmentation? - ?Spatial pyramids
Classification code: 443 Meteorology? - ?444 Water Resources? - ?802.3 Chemical Operations
DOI: 10.6041/j.issn.1000-1298.2020.07.022
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
38. Refill and Recharge Planning for Rotor UAV in Multiple Fields with Obstacles
Accession number: 20203209017190
Title of translation:
Authors: Huang, Xiaomao (1, 2); Tang, Can (1); Tang, Lie (3); Luo, Chengming (1, 2); Li, Wencheng (1, 2); Zhang, Lei (1)
Author affiliation: (1) College of Engineering, Huazhong Agricultural University, Wuhan; 430070, China; (2) Key Laboratory of Agricultural Equipment in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan; 430070, China; (3) Department of Agricultural and Biosystems Engineering, Iowa State University, Ames; IA; 50011, United States
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 82-90 and 71
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming at the problem of single-machine operation task planning in adjacent multiple fields in the same area, according to the practical limits such as battery life and load-bearing, a path planning algorithm for an autonomous agricultural rotary-wings UAV with multi-flight operations in multiple fields with obstacles was proposed and realized considering the on-demand multiple returning supply of consumables such as seeds, fertilizer, chemicals, oil and electricity. On the basis of giving the operation path planning optimization target model, a two-step optimization method of “first path, and then flights” was proposed. Firstly, the initial coverage working path was planned with the shortest path as the optimization goal, and then the flights planning was carried out considering the replenishment and sequels after the returns of the consumables on demand. According to the two kinds of spraying and spreading modes, including the variable mode and constant mode, two orientation arrangements, route scheduling principle, replenishment mode and sequel mode were proposed respectively. The initial operation paths under four different headings and route scheduling strategies was planned and obtained. Then the flights arrangement solution under four different combinations of replenishment optimization strategies was further given. The simulation experiments on hypothetical plots and real plots showed that the proposed algorithm with the four optimization strategies of the initial operation paths run very stable and efficient. The first stage algorithm took time from 78 ms to 105 161 ms, saving the transfer path from 10.25% to 33.81% when compared the better results with the relatively poor results. The time consumption of the second stage algorithm was increased slightly from 21 170 ms to 106 393 ms, saving the replenishment times from 15 to 10 in a test calculation and the transfer path from 14.00% to 26.27% when compared the better results with the relatively poor results. In general, the combine replenishment strategy of “all reset” and “go-on with new order” got better performance than others. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Unmanned aerial vehicles (UAV)
Controlled terms: Agricultural robots? - ?Scheduling
Uncontrolled terms: Initial operation? - ?Optimization goals? - ?Optimization strategy? - ?Path-planning algorithm? - ?Replenishment strategies? - ?Scheduling strategies? - ?Single- machines? - ?Two-step optimizations
Classification code: 652.1 Aircraft, General? - ?912.2 Management
Numerical data indexing: Percentage 1.02e+01% to 3.38e+01%, Percentage 1.40e+01% to 2.63e+01%, Time 2.12e+01s to 1.06e+02s, Time 7.80e-02s to 1.05e+02s
DOI: 10.6041/j.issn.1000-1298.2020.07.010
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
39. RGB-D Segmentation Method for Group Piglets Images Based on Double-pyramid Network
Accession number: 20203209017164
Title of translation: RGB-D
Authors: Gao, Yun (1, 2); Liao, Huimin (1); Li, Xuan (1, 2); Lei, Minggang (2, 3); Yu, Mei (3); Li, Xiaoping (3)
Author affiliation: (1) College of Engineering, Huazhong Agricultural University, Wuhan; 430070, China; (2) The Cooperative Innovation Center for Sustainable Pig Production, Wuhan; 430070, China; (3) College of Animal Science and Technology, Huazhong Agricultural University, Wuhan; 430070, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 36-43
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming to achieve automatic individual pig’s tracking and monitoring in pig group, an RGB-D image segmentation method based on the double-pyramid network was proposed to solve the segmentation difficulties caused by overlaps and adhesion body areas which were frequently exiting in images because of habits of huddle and crowd in piglets. The method was based on an instance segmentation network Mask R-CNN, modifying its feature extraction network, ResNet101, to a double-pyramid structure. Features were extracted from RGB and Depth images and combined to be inputted into a regional generation network. The network outputted regions of interest (ROI). The combined features and ROIs were then inputted into a head network, which included the classifications and regression and mask branches and outputted the locations of pigs and results of classification. Eventually, the individual pigs were segmented from images according to the outputs. The double-pyramid network was trained using 2 000 groups of images, splitting to a training set and a validation set in a ratio of 4: 1 randomly. Experimental results showed that the double-pyramid network (Feature pyramid networks, FPN) can effectively address the segmentation for group pig images of adhesive pigs, and acquire the complete individual pig areas, the segmentation accuracy rate was up to 89.25%. During the training process, the GPU used rate was lower to 77.57%, the FPN outperformed the Mask R-CNN and PigNet networks both in the segmentation accuracy rate and running speed. The double-pyramid network represented its generalization and robustness on the segmentation for multi-behaviors and diversified adhesions in pig group images, which provided a new approach to automatically track individual pig in group pigs. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 33
Main heading: Color image processing
Controlled terms: Adhesion? - ?Adhesives? - ?Convolutional neural networks? - ?Image segmentation? - ?Mammals
Uncontrolled terms: Combined features? - ?Feature pyramid? - ?Pyramid network? - ?Pyramid structure? - ?Regions of interest? - ?Segmentation accuracy? - ?Segmentation methods? - ?Training process
Classification code: 741.1 Light/Optics? - ?951 Materials Science
Numerical data indexing: Percentage 7.76e+01%, Percentage 8.92e+01%
DOI: 10.6041/j.issn.1000-1298.2020.07.005
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
40. Piecewise Weighted Thermal Error Modeling of CNC Machine Tools Based on Model Library of Ambient Temperature
Accession number: 20203209017142
Title of translation:
Authors: Li, Bing (1, 2); Su, Wenchao (1); Wei, Xiang (1); Bai, Jinfeng (1); Jiang, Zhuangde (1, 2)
Author affiliation: (1) State Key Laboratory of Mechanism Manufacture System Engineering, Xi’an Jiaotong University, Xi’an; 710049, China; (2) International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technology, Xi’an Jiaotong University, Xi’an; 710049, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 413-419
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming at the problem that the common thermal error models have low prediction accuracy when the ambient temperature changes greatly, a piecewise weighted modeling method of thermal error based on model library of ambient temperature was proposed. The UPM120 CNC milling machine was used as the experimental object. Modeling and prediction accuracy analysis of the piecewise weighted model with ambient temperature between 15 and 35 were accomplished by using seven batches of data in different quarters. The experimental results showed that when the ambient temperature was varied within 5, the prediction accuracy of multiple linear regression model was better than that of BP neural network model, distributed lag model, grey theory model and support vector machine model, so multiple linear regression model was used as the basic model of the piecewise weighted model library. When the ambient temperature had small change, the piecewise weighted model based on multiple linear regression had a prediction accuracy of 1.39 μm, which was slightly lower than that of the multiple linear regression model, but higher than that of the other four common thermal error models. When the ambient temperature had great change, the prediction accuracy was 1.51 μm, which was much higher than the accuracy of multiple linear regression model of single ambient temperature sample, multiple linear regression model of multi-environment temperature samples and support vector machine model with strong generalization ability. The piecewise weighted model had high prediction accuracy under both large or small changes in ambient temperature. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Linear regression
Controlled terms: Backpropagation? - ?Computer control systems? - ?Errors? - ?Forecasting? - ?Machine tools? - ?Support vector machines? - ?Support vector regression? - ?Temperature
Uncontrolled terms: Ambient temperature change? - ?BP neural network model? - ?Distributed lag models? - ?Generalization ability? - ?Modeling and predictions? - ?Multiple linear regression models? - ?Multiple linear regressions? - ?Support vector machine models
Classification code: 603.1 Machine Tools, General? - ?641.1 Thermodynamics? - ?723 Computer Software, Data Handling and Applications? - ?922.2 Mathematical Statistics
Numerical data indexing: Size 1.39e-06m, Size 1.51e-06m
DOI: 10.6041/j.issn.1000-1298.2020.07.047
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
41. Design and Combustion Characteristics Experiment of Biomass Crushed Aggregates Burner for Anti-tempering Maize Straw and Wood Chips
Accession number: 20203209017145
Title of translation:
Authors: Liu, Shanjian (1); Wang, Shuaichao (1); Li, Yongjun (1); Liu, Yaya (1); Liu, Yuanshuai (1)
Author affiliation: (1) School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo; 255000, China
Corresponding author: Li, Yongjun(liyongjun@sdut.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 346-354
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to solve the difficulties in continuous feeding and stable combustion, and high pollution emission level during the combustion of maize straw and wood chips, a biomass crushed aggregates burner with horizontal feeding mode, anti-tempering and cold air pressure protection of furnace wall were designed. The combustion experiments were carried out at different ratios of primary to secondary air. The main conclusions were as follows: the temperature variation range inside the furnace was varied as (1 200±100) when the proportion of primary to secondary air (PPSA) was 0.8: 0.2 and the wood chips was used as fuel in the stable combustion stage. The temperature of the flue gas at the outlet was varied at (1 000±100). Under the conditions of PPSA was 0.8: 0.2 or 0.7: 0.3, the O2, CO2 and CO mass fraction in the flue gas was fluctuated at (13±2)%, (7±2)% and (0.2±0.1)%, respectively. The combustion efficiency were 98.8% and 98.5%, respectively. When maize straw was fuel, under the same PPSA, compared with burning wood chips, the temperature in the furnace and the temperature of the flue gas was lower by about 100. No matter the PPSA was 0.8: 0.2 or 0.7: 0.3, the average O2 content in combustion flue gas was slightly lower, about 1%. The CO content was slightly higher, but the CO2 content was not remarkably different. The combustion efficiency was 98.7% and 98.9%, respectively. Compared with the PPSA was 0.8: 0.2, when the PPSA was 0.7: 0.3, whether the wood chips or maize straw were fuel, the temperature inside the furnace and the temperature at the outlet were lower than the former by about 100. The blackness of exhaustion (Ringelman emittance, level) was less than or equal to 1 when the PPSA was 0.8: 0.2 and 0.7: 0.3. When the PPSA was 0.8: 0.2, the PM2.5, PM5 and PM10 in the flue gas was respectively in the range of 56~72 mg/m3, 38~51 mg/m3 and 43~63 mg/m3 with wood chips as the fuel. When corn stalk was fuel, it was respectively in the range of 36~43 mg/m3, 21~35 mg/m3 and 38~42 mg/m3, which met the emission standards of atmospheric pollutants in boilers. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 22
Main heading: Wood products
Controlled terms: Aggregates? - ?Air quality? - ?Carbon dioxide? - ?Combustion? - ?Efficiency? - ?Flue gases? - ?Flues? - ?Fuels? - ?Furnaces? - ?Gases ? - ?Tempering
Uncontrolled terms: Atmospheric pollutants? - ?Combustion characteristics? - ?Combustion efficiencies? - ?Combustion experiments? - ?Combustion flue gas? - ?Continuous feeding? - ?Pollution emissions? - ?Temperature variation
Classification code: 406 Highway Engineering? - ?451.1 Air Pollution Sources? - ?451.2 Air Pollution Control? - ?537.1 Heat Treatment Processes? - ?804.2 Inorganic Compounds? - ?811.2 Wood and Wood Products? - ?913.1 Production Engineering
Numerical data indexing: Mass_Density 2.10e-05kg/m3 to 3.50e-05kg/m3, Mass_Density 3.60e-05kg/m3 to 4.30e-05kg/m3, Mass_Density 3.80e-05kg/m3 to 4.20e-05kg/m3, Mass_Density 3.80e-05kg/m3 to 5.10e-05kg/m3, Mass_Density 4.30e-05kg/m3 to 6.30e-05kg/m3, Mass_Density 5.60e-05kg/m3 to 7.20e-05kg/m3, Percentage 1.00e+00%, Percentage 9.85e+01%, Percentage 9.87e+01%, Percentage 9.88e+01%, Percentage 9.89e+01%
DOI: 10.6041/j.issn.1000-1298.2020.07.039
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
42. Soil Moisture Estimation of Wheat Field Based on Theoretical Dry-Wet Edge and Improved TVDI
Accession number: 20203209017226
Title of translation: TVDI
Authors: Cai, Qingkong (1); Tao, Liangliang (2); Jiang, Ruibo (1); Jiang, Jinbao (3)
Author affiliation: (1) College of Civil Engineering, Henan Institute of Engineering, Zhengzhou; 451191, China; (2) School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing; 210044, China; (3) College of Geosciences and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing; 100083, China
Corresponding author: Jiang, Jinbao(jjb@cumtb.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 202-209
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The temperature-vegetation drought index (TVDI) based on the surface temperature-vegetation index feature space has very important scientific and practical significance in drought monitoring and farmland irrigation. But traditional methods cannot accurately reflect the real surface water-heat energy exchange and make the soil moisture estimation have great uncertainty. Based on the equation of surface energy balance and the introduction of improved vegetation coverage parameter, a theoretical dry-wet edge endpoint selection method and a TVDI model based on the surface temperature-improved vegetation coverage feature space were constructed, which broadened the application range of TVDI in drought monitoring and soil moisture estimation by improving vegetation coverage parameters to a certain extent to avoid restrictions on the types of surface coverage. MODIS remote sensing image data and ground observations were used to estimate the soil moisture of wheat field in Yangling District, Shaanxi Province. The results showed that the correlation coefficient between the TVDI calculated from the theoretical wet edge and the measured soil moisture was about -0.700, and the root mean square error was not more than 0. 060 cm3/cm3. In addition, the estimated soil moisture values of DOY088 and DOY112 both had good fitting relationship with the measured soil moisture values, especially the inversion results of DOY088 were closer to the actual surface conditions with correlation coefficient of -0.715 and root mean square error of 0.029 cm3/cm3. Meanwhile, the scatter distribution of DOY112 was much more dispersed than that of DOY088. Therefore, this method can avoid the limitation of the surface vegetation coverage that must include bare soil, partial vegetation and full vegetation coverage in the estimation of traditional feature space dry and wet edges, realize remote sensing inversion of real soil moisture and monitor the actual wet and dry conditions of the ground. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 24
Main heading: Soil surveys
Controlled terms: Atmospheric temperature? - ?Drought? - ?Mean square error? - ?Moisture control? - ?Remote sensing? - ?Soil moisture? - ?Space optics? - ?Surface properties? - ?Surface waters? - ?Vegetation
Uncontrolled terms: Correlation coefficient? - ?Remote sensing images? - ?Root mean square errors? - ?Scatter distribution? - ?Soil moisture estimation? - ?Surface temperatures? - ?Vegetation coverage? - ?Vegetation drought indices
Classification code: 443.1 Atmospheric Properties? - ?444 Water Resources? - ?444.1 Surface Water? - ?483.1 Soils and Soil Mechanics? - ?656.1 Space Flight? - ?731.3 Specific Variables Control? - ?922.2 Mathematical Statistics? - ?951 Materials Science
DOI: 10.6041/j.issn.1000-1298.2020.07.023
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
43. Research of Intelligent Irrigation Control Strategy Based on Stem Water Content of Crabapple
Accession number: 20203209017159
Title of translation:
Authors: Zhao, Yandong (1, 2); Zheng, Yan (1); Zhou, Haiyang (1, 3); Lin, Jianhui (1, 3); Zhang, Xin (4); Yu, Fuman (4)
Author affiliation: (1) School of Technology, Beijing Forestry University, Beijing; 100083, China; (2) Beijing Laboratory of Urban and Rural Ecological Environment, Beijing; 100083, China; (3) Key Laboratory of State Forestry Administration for Forestry Equipment and Automation, Beijing; 100083, China; (4) Tianjin Chuangshi Ecology and Landscape Construction Co., Ltd., Tianjin; 300110, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 323-331
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The dynamic change of stem water content is an important index to study the water content and growth condition of plants, which provides scientific basis for accurately judging the water deficit of active wood, plantation cultivation and irrigation of urban landscaping. Taking the potted crabapple as research object, and the relationship between the change law of stem water content and physiological water requirement of trees was explored through drought stress experiment. Drought stress was divided into two phases, the first phase lasted five days and the second phase lasted ten days. The decrease in stem water content in the second stage was larger than that in the first stage. And the number of leaves withered in the second stage was more than in the first stage. Comprehensively considered the ornamental nature of crabapple, the research took the first stage of drought stress experiment as research node. It was obtained that the stem water and soil water of crabapple showed a one-degree cubic polynomial relationship under natural drought conditions. An irrigation control strategy with stem water content (43%) and stem water content reduction range (12%) as the lower limit index and soil water content (33%) as the upper limit index was proposed. According to the strategy, an intelligent irrigation control system was designed, and the effectiveness and feasibility of the proposed irrigation strategy were verified by the system. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 31
Main heading: Irrigation
Controlled terms: Drought? - ?Plants (botany)? - ?Soil moisture? - ?Urban growth
Uncontrolled terms: Cubic polynomials? - ?Drought conditions? - ?Growth conditions? - ?Intelligent irrigations? - ?Irrigation controls? - ?Soil water content? - ?Stem water content? - ?Water requirements
Classification code: 403.1 Urban Planning and Development? - ?444 Water Resources? - ?483.1 Soils and Soil Mechanics? - ?821.3 Agricultural Methods
Numerical data indexing: Percentage 1.20e+01%, Percentage 3.30e+01%, Percentage 4.30e+01%
DOI: 10.6041/j.issn.1000-1298.2020.07.036
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
44. Relative Leaf Area Index of Typical Crops Based on Single Parameter Logistic Model
Accession number: 20203209017234
Title of translation: Logistic
Authors: Wang, Quanjiu (1, 2); Liu, Yunhe (1); Su, Lijun (1)
Author affiliation: (1) State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi’an University of Technology, Xi’an; 710048, China; (2) State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Ministry of Water Resources and Chinese Academy of Sciences, Yangling; Shaanxi; 712100, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 210-219
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Systematic analysis of leaf area index variation characteristics is the basis for constructing a model for practical application of crop growth. The meteorological data and crop leaf area index change data were collected and used for analytical modeling. Based on the analysis of the parameters of existing leaf area index model and the relative growing degree days as the independent variable, the modified Logistic model was used to analyze the growth characteristics of the relative leaf area index of winter wheat, summer maize and rice, and the relationship among the model parameters were established. The results showed that the parameters a, b and c were related to the relative growing degree days eigenvalues. With the increase of c, the value of a was increased and that of b was decreased gradually, and its increase or decrease rate was related to the relative growing degree days, and the rate of change of the three crops was different. At the same time, there was a certain functional relationship between parameters a, c and b. Based on the relationship between parameters, the Logistic model of relative modification was simplified, and a single parameter Logistic model describing the leaf area index growth process of three crops of winter wheat, summer maize and rice was established. The model was evaluated using measured data. The results showed that the single parameter model can simulate the growth process of the relative leaf area index. The simplified model had the characteristics of less parameters, simple form and convenient analysis, so it was easy to popularize and apply, and had certain reference value for establishing single parameter relative leaf area index model of other crops. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 41
Main heading: Crops
Controlled terms: Eigenvalues and eigenfunctions? - ?Meteorology
Uncontrolled terms: Functional relationship? - ?Growing degree days? - ?Growth characteristic? - ?Independent variables? - ?Meteorological data? - ?Model parameters? - ?Modified Logistic model? - ?Systematic analysis
Classification code: 821.4 Agricultural Products
DOI: 10.6041/j.issn.1000-1298.2020.07.024
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
45. Effects of Water and Nitrogen Fertilizer Supply on Yield and Nitrogen Absorption and Utilization Efficiency of Spring Maize in Sandy Soil Area in Ningxia
Accession number: 20203209017161
Title of translation:
Authors: Yan, Fulai (1); Zhang, Fucang (1); Fan, Xingke (2); Wang, Ying (1); Guo, Jinjin (1); Zhang, Chenyang (1)
Author affiliation: (1) Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling; Shaanxi; 712100, China; (2) Institute of Soil and Water Conservation, Northwest A&F University, Yangling; Shaanxi; 712100, China
Corresponding author: Zhang, Fucang(zhangfc@nwsuaf.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 283-293
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming to investigate the effects of fertigation on spring maize growth, yield, and nitrogen absorption and utilization efficiency, soil NO3--N distribution and residual amount in sandy soil area in Ningxia, to provide a theoretical and experimental basis for the irrigation and nitrogen management of spring maize in this area. The plot experiments were conducted with two factors of irrigation and nitrogen. There were three irrigation levels (W0. 6, 0. 6KcET0; W0.8, 0.8KcET0 and W1.0, KcET0, Kc was the crop coefficients, ET0 was the potential reference crops evapotranspiration) and four nitrogen levels (N150, 150 kg/hm2; N225, 225 kg/hm2; N300, 300 kg/hm2 and N375, 375 kg/hm2). The results showed that under the same irrigation levels, the dry matter accumulation rate, shoot biomass, yield, water use efficiency and nitrogen accumulation rate (except for W0. 8 treatment) were increased at first, and then decreased with the increase of nitrogen application rate. The yield of W0. 8N300 treatment was 16 387 kg/hm2, reached the maximum value. During the fast-growing period, the dry matter average accumulation rate of W1. 0N300 and the nitrogen average accumulation rate of W0. 8N375 treatment were the highest, which were 513.71 kg/(hm2?d) and 2.75 kg/(hm2?d), respectively. Compared with other irrigation treatments, the N remobilization of vegetative organs under W0. 8 irrigation level was the highest, which was 84.67%. Both irrigation and nitrogen application amount were increased at the same time, and the soil NO3--N residual amount was increased gradually in the 60~100 cm at the same time. At W0.6 and W0.8 irrigation levels, the soil NO3--N residual amount was mainly concentrated in the 0~60 cm and 0~90 cm soil layers, respectively. Considering the uneven distribution of annual rainfall in Ningxia, the results suggested that it was an appropriate schedule for spring maize in this area when the sum of irrigation and effective rainfall amount was 532 mm and nitrogen application rate was 300 kg/hm2. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 36
Main heading: Nitrogen fertilizers
Controlled terms: Crops? - ?Efficiency? - ?Grain (agricultural product)? - ?Irrigation? - ?Rain? - ?Sand? - ?Soils? - ?Water absorption? - ?Water supply
Uncontrolled terms: Dry matter accumulation? - ?Irrigation treatments? - ?Nitrogen absorption? - ?Nitrogen accumulation? - ?Nitrogen application rates? - ?Nitrogen management? - ?Utilization efficiency? - ?Water use efficiency
Classification code: 443.3 Precipitation? - ?446.1 Water Supply Systems? - ?483.1 Soils and Soil Mechanics? - ?802.3 Chemical Operations? - ?804 Chemical Products Generally? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?913.1 Production Engineering
Numerical data indexing: Percentage 8.47e+01%, Size 0.00e+00m to 6.00e-01m, Size 0.00e+00m to 9.00e-01m, Size 5.32e-01m, Size 6.00e-01m to 1.00e+00m
DOI: 10.6041/j.issn.1000-1298.2020.07.032
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
46. Design and Test of Wire Rope Damage Test Platform for Orchard Transporter
Accession number: 20203209017198
Title of translation:
Authors: Ouyang, Yuping (1); Sun, Han (1); Hong, Tiansheng (2); Shu, Shengrong (1); Chen, Dongbin (1); Wu, Zhiqiang (1)
Author affiliation: (1) School of Mechanical and Vehicle Engineering, East China Jiaotong University, Nanchang; 330013, China; (2) College of Engineering, South China Agricultural University, Guangzhou; 510642, China
Corresponding author: Hong, Tiansheng(tshong@scau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 118-128
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The mountain orchard conveyor is a type of transport machinery. The regularity of wire rope breakage is not clear yet, also there is no corresponding research on this kind of wire rope. A PLC-based wire rope simulation running platform was built, and the reliability of the platform was verified, which included the tensile force sensor test, the wire breakage and wear reliability detection based on the magnetic flux leakage (MFL) method. It was found that the core component of the simulation platform: the floating deviation of the tensile force sensor and the adjustment device test met the test requirements. Then, the number of broken wires in the test seemed to be as the same as the actual one, but the simulated wear and the actual gap were large. The conclusion was drawn that the built test platform can accurately detect the position and quantity of wire rope’s broken wire, but the degree of wear can not be accurately detected. It can be considered by machine vision for further testing, which would be proved in subsequent research. The research result can provide a reference for optimizing the safety performance of conveyors in orchards, as well as for maintenance and care of wire ropes in other applications. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 35
Main heading: Simulation platform
Controlled terms: Conveyors? - ?Machinery? - ?Magnetic leakage? - ?Orchards? - ?Wear of materials? - ?Wire rope
Uncontrolled terms: Core components? - ?Design and tests? - ?Magnetic flux leakage? - ?Research results? - ?Safety performance? - ?Test platforms? - ?Test requirements? - ?Wire breakages
Classification code: 535.2 Metal Forming? - ?692.1 Conveyors? - ?701.2 Magnetism: Basic Concepts and Phenomena? - ?821.3 Agricultural Methods? - ?951 Materials Science
DOI: 10.6041/j.issn.1000-1298.2020.07.014
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
47. Design and Experiment of Online Near-infrared Feed Quality Monitoring Platform
Accession number: 20203209017156
Title of translation:
Authors: Jin, Nan (1); Chang, Chuchen (1); Wang, Hongying (1); Chen, Yuanyuan (1); Fang, Peng (1)
Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China
Corresponding author: Wang, Hongying(hongyingw@cau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 129-137
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to realize the effective application of online near-infrared technology in feed production line, an online monitoring platform for non-contact near-infrared probe was designed. The platform was installed at the delivery chute between the bucket elevator and the rotary distributor. The aggregate space formed by the baffle structure was added inside the platform to affect the trajectory of the feed particles, so as to reduce the speed of the feed flow and improve the uniform stability of the feed flow. The EDEM-Recurdyn coupling simulation model was constructed based on the geometric structure of the platform. Taking the length of square tube, width of square tube, fixed baffle angle, and length of fixed baffle as influencing factors, and the mean velocity and coefficient of variation of feed particles in the online near-infrared monitoring platform as evaluation indicators, a four-factor and three-level orthogonal test was carried out. The range analysis results of orthogonal test showed that the width of the square tube had the most significant influence on the feed flow velocity and uniformity characteristics. The optimal scheme for the platform structure parameters could be obtained under the condition that the length of square tube was 850 mm, width of square tube was 250 mm, fixed baffle angle was 20°, and length of fixed baffle was 180 mm. In this case, the mean velocity of feed particles was 0.87 m/s and the coefficient of variation was 5.32%. The effectiveness of simulation optimization results was verified through prototype tests. The platform could continuously obtain near-infrared spectral curves meeting the requirements of online analysis. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 28
Main heading: Fixed platforms
Controlled terms: Flow velocity? - ?Infrared devices? - ?Infrared radiation? - ?Tubes (components)
Uncontrolled terms: Coefficient of variation? - ?Coupling simulation? - ?Evaluation indicators? - ?Geometric structure? - ?Monitoring platform? - ?Near infrared spectral? - ?Simulation optimization? - ?Structure parameter
Classification code: 511.2 Oil Field Equipment? - ?619.1 Pipe, Piping and Pipelines? - ?631 Fluid Flow? - ?741.1 Light/Optics
Numerical data indexing: Percentage 5.32e+00%, Size 1.80e-01m, Size 2.50e-01m, Size 8.50e-01m, Velocity 8.70e-01m/s
DOI: 10.6041/j.issn.1000-1298.2020.07.015
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
48. Effect of Apple Dietary Fiber on Gel Properties of Porcine Myofibrillar Protein
Accession number: 20203209017227
Title of translation:
Authors: Cao, Yungang (1); Wang, Fan (1); Ai, Nasi (2, 3); Liu, Shuxing (1); Ma, Wenhui (1); Huang, Junrong (1)
Author affiliation: (1) School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi’an; 710021, China; (2) Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University, Beijing; 100048, China; (3) Beijing Engineering and Technology Research Center of Food Additives, Beijing; 100048, China
Corresponding author: Huang, Junrong(huangjunrong@sust.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 7
Issue date: July 25, 2020
Publication year: 2020
Pages: 365-371
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to explore the feasibility and internal mechanism of apple dietary fiber as additive or fat substitute in meat products, effect of apple dietary fiber at different dosages on the gel properties of myofibrillar protein was investigated by rheology, texture, cooking loss, gel whiteness, Raman spectroscopy and environmental scanning electron microscopy. The results showed that apple dietary fiber had a concentration-dependent effect on the gel properties of myofibrillar protein. Addition of apple dietary fiber at 0~5% had no negative effect on the gel properties of myofibrillar protein, and the mixed gel added with 5% ADF had the lowest cooking loss and the best texture characteristics. When the addition amount of apple dietary fiber was between 10% and 50%, the mixed gel properties of myofibrillar protein-apple dietary fiber was decreased with the increase of apple dietary fiber addition amount. When the addition amount reached 50%, the development of the elastic modulus of the mixed sol during heating was completely inhibited. The corresponding heat induced gel micropores were increased, cooking loss was increased, texture properties was decreased, and the color was deepened. The results of this experiment indicated that the addition of apple dietary fiber could improve the health of meat products without affecting their texture quality. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Fruits
Controlled terms: Fibers? - ?Proteins? - ?Scanning electron microscopy? - ?Sols? - ?Textures? - ?Thermal processing (foods)
Uncontrolled terms: Concentration-dependent? - ?Dietary fibers? - ?Environmental scanning electron microscopies (ESEM)? - ?Gel properties? - ?Myofibrillar proteins? - ?Texture characteristics? - ?Texture properties? - ?Texture quality
Classification code: 804 Chemical Products Generally? - ?804.1 Organic Compounds? - ?821.4 Agricultural Products? - ?822.2 Food Processing Operations
Numerical data indexing: Percentage 0.00e+00% to 5.00e+00%, Percentage 1.00e+01% to 5.00e+01%, Percentage 5.00e+00%, Percentage 5.00e+01%
DOI: 10.6041/j.issn.1000-1298.2020.07.041
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
作者登錄
審稿登錄
編輯登錄
讀者登錄
快速檢索
友情鏈接
