2020年第8期共收錄48篇
1. Text Detection of Food Labels Based on Semantic Segmentation
Accession number: 20203709159400
Title of translation:
Authors: Tian, Xuan (1, 2); Wang, Ziya (1); Wang, Jianxin (1, 2)
Author affiliation: (1) School of Information Science and Technology, Beijing Forestry University, Beijing; 100083, China; (2) Engineering Research Center for Forestry-oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing; 100083, China
Corresponding author: Wang, Jianxin(wangjx@bjfu.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 336-343
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The label texts on food package include some information like production date, nutrition facts and production corporation etc. The information provides important foundation for consumers to buy food. It also can help the food supervision and inspection administrations to discover the potential problems of food safety. Food label detection is the groundwork of food label recognition. It can help to decrease the heavy workload of manual inputting and advance efficiency of data processing. The dataset of food label was constructed firstly, and then a semantic segmentation based distance field model (DFM) was proposed. In DFM two tasks were included: pixel classification and distance field regression. The pixel classification task was used to segment the text from background regions, and the distance field regression task was used to predict the normalized distance from the pixel located in the text region to the boundary of text region. For effectively using the correlation of two tasks, an attention module was added into DFM to optimize the model structure. In addition, the loss function was improved to resolve the loss value of the distance field regression as it was too small to train smoothly. The results of ablation experiment showed that the accuracy of the proposed model was increased by 4.39 percentage points and 3.80 percentage points respectively according to the improvement of attention module and loss function. The comparative experiments of different model methods showed that DFM had good performance in detecting the text of food labels, and the recall rate and precision were 87.61% and 76.50%, respectively. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 29
Main heading: Text processing
Controlled terms: Data handling? - ?Labels? - ?Pixels? - ?Semantics
Uncontrolled terms: Ablation experiments? - ?Background region? - ?Comparative experiments? - ?Label recognition? - ?Percentage points? - ?Pixel classification? - ?Potential problems? - ?Semantic segmentation
Classification code: 694.2 Packaging Materials? - ?723.2 Data Processing and Image Processing? - ?903.1 Information Sources and Analysis
Numerical data indexing: Percentage 7.65e+01%, Percentage 8.76e+01%
DOI: 10.6041/j.issn.1000-1298.2020.08.037
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
2. Effects of Agricultural Application of Composted Sludge on Organic-Inorganic Carbon Components
Accession number: 20203709159459
Title of translation: -
Authors: Chang, Huiqing (1); Wang, Qizhen (1); Wu, Jie (1); Chen, Xianni (1)
Author affiliation: (1) School of Agriculture, Henan University of Science and Technology, Luoyang; 471023, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 295-302
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The agricultural use of composted sludge is an effective way to solve the problem of sludge recycling. Because sludge is rich in organic matter, agricultural use of sludge will affect the quality of soil carbon pool. In order to clarify the effects of sludge application on carbon components of two kinds of soils with different pH values, the effect of sludgeapplication on soil organic, inorganic carbon components and soil acidity were determined, and the relationship between soil inorganic carbon and organic carbon and soil pH value was explored. Under the wheat-maize rotation mode, two consecutive years experiment was carried out, four sludge addition amounts were 3.75 t/hm2, 7.5 t/hm2, 37.5 t/hm2 and 75 t/hm2, respectively, and one blank control was provided, which were marked as H1, H2, H3, H4 and CK, respectively. The main conclusions were as follows: the organic carbon components content such as soil organic carbon (SOC), readily oxidizable carbon (ROC), dissolved organic carbon (DOC) and humus carbon (HSC) were increased with the increase of sludge addition. Compared with CK, the SOC, ROC, DOC and HSC of acidic sandy soil were increased by 82.39%, 25.62%, 158.33% and 30.77%, respectively, when the sludge addition was 75 t/hm2 (P2), but increased the distribution ratio of DOC and HSC. However, the proportion of ROC and HSC was decreased, but the proportion of DOC was increased in acidic sandy soil. In addition, the content of soil inorganic carbon (SIC), active inorganic carbon (AIC) and pH value in alkaline loam were reduced due to application of sludge, and the pH value of soil was also reduced; however, AIC and pH value were increased in acidic sandy soil. There was a significant positive correlation between SIC and pH value of two kinds of soils (P ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 46
Main heading: Organic carbon
Controlled terms: Agricultural robots? - ?Agriculture? - ?Alkalinity? - ?Land use? - ?pH? - ?Sand? - ?Soils
Uncontrolled terms: Acidic sandy soils? - ?Composted sludges? - ?Dissolved organic carbon? - ?Distribution ratio? - ?Organic-inorganic? - ?Positive correlations? - ?Production practice? - ?Soil inorganic carbons
Classification code: 403 Urban and Regional Planning and Development? - ?483.1 Soils and Soil Mechanics? - ?801.1 Chemistry, General? - ?804.1 Organic Compounds? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control
Numerical data indexing: Percentage 1.58e+02%, Percentage 2.56e+01%, Percentage 3.08e+01%, Percentage 3.40e+02%, Percentage 3.55e+02%, Percentage 4.93e+01%, Percentage 8.24e+01%, Percentage 8.44e+01%
DOI: 10.6041/j.issn.1000-1298.2020.08.032
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
3. Identification Method of Plastic Film Residue Based on UAV Remote Sensing Images
Accession number: 20203709159399
Title of translation:
Authors: Wu, Xuemei (1); Liang, Changjiang (1); Zhang, Dabin (1); Yu, Lihua (1); Zhang, Fugui (1)
Author affiliation: (1) School of Mechanical Engineering, Guizhou University, Guiyang; 550025, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 189-195
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Artificial evaluation of plastic film residue is high labor intensity and low efficiency. A method of combining with color features extraction, impulse coupled neural network segmentation and image morphology algorithm to recognize residual plastic film was proposed in the field by using UAV images. The research area was Pingba County of Anshun City, Guizhou Province, and 1 500 images were taken in the research area as experimental data. The UAV was flying at a height of about 40 m, and the image data were collected under clear and wind-free conditions. These UAV images were conducted geometric correction, 3×3 median filter and histogram equalization processing. Two color space transformation models (RGB, HSV) were compared and analyzed. In order to find out the influence of light intensity on the recognition accuracy, the direct sunlight area and the shadow area of foreground (residual plastic film) and background (soil) were separated to analyze their gray value difference with two color model. It was found that the gray value of shadow area foreground was between the direct sunlight area background and the shadow area background in term of B component while the direct sunlight foreground and shadow area foreground was lower than the background in the term of S component. The manual threshold method, the iterative threshold method, the maximum inter-class variance method, the maximum entropy method, the K-means clustering method and the impulse coupled neural network were used to segment the residual plastic film from background for both of the B and S components respectively. It was found that the B component was able to recognize sunlight area foreground but not able to recognize shadow area foreground from background. The S component was able to recognize direct sunlight and shadow area foreground from the background. Moreover, the impulse coupled neural network method based on S component had better segmentation effect, and the maximum inter-class variance and the iterative threshold method was the second. According to the sunlight direction and different crop growth periods, recognition algorithms for identifying residual film in the field were established. The identification rates were 96.99%, 69.47%, 93.55% and 88.95%, respectively, at six-leaf stage of tobacco growth, after tobacco leaves were harvested, after tobacco rods were pulled out and during the winter idle period. The average overall recognition accuracy of the test area was 87.49%. This method demonstrated fast speed and high recognition accuracy, which can provide a reference for the evaluation and precision collection of residual film. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 21
Main heading: Iterative methods
Controlled terms: Color? - ?Image segmentation? - ?K-means clustering? - ?Maximum entropy methods? - ?Median filters? - ?Neural networks? - ?Plastic films? - ?Remote sensing? - ?Tobacco? - ?Unmanned aerial vehicles (UAV)
Uncontrolled terms: Coupled neural networks? - ?Geometric correction? - ?Histogram equalizations? - ?Identification method? - ?K-means clustering method? - ?Plastic film residues? - ?Recognition accuracy? - ?Recognition algorithm
Classification code: 652.1 Aircraft, General? - ?716.1 Information Theory and Signal Processing? - ?741.1 Light/Optics? - ?817.1 Polymer Products? - ?821.4 Agricultural Products? - ?921.6 Numerical Methods
Numerical data indexing: Percentage 6.95e+01%, Percentage 8.75e+01%, Percentage 8.90e+01%, Percentage 9.35e+01%, Percentage 9.70e+01%, Size 4.00e+01m
DOI: 10.6041/j.issn.1000-1298.2020.08.021
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
4. Improved Design and Test on Pneumatic Cylinder Sieve Film Hybrid Separator
Accession number: 20203709159416
Title of translation:
Authors: Peng, Qiangji (1, 2); Li, Chengsong (1, 3); Kang, Jianming (2); Shi, Gaokun (1); Zhang, Heng (2)
Author affiliation: (1) College of Mechanical and Electrical Engineering, Shihezi University, Shihezi; 832003, China; (2) Shandong Academy of Agricultural Machinery Sciences, Ji’nan; 250100, China; (3) College of Engineering and Technology, Southwest University, Chongqing; 400715, China
Corresponding author: Li, Chengsong(lcs_shz@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 126-135
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming at the problem that large fluctuation range of the screening performance of the pneumatic cylindrical sieve membrane impurity separator, additional migration device and reset the layout and size of cylindrical screen holes to maintain the uniformity of airflow distribution, improve the trafficability of impurities, and improve the screening performance stability of the pneumatic cylinder sieve film impurity separator. Based on the analysis of the movement of the membrane hybrid mixture in the cylindrical sieve, the rotational speed of cylinder sieve, wind speed of inlet pipe, and inclination of airflow were selected as test factors. The impurity rate in the film and the film content in the impurity were used as evaluation indexes. A three-factor and three-level test was designed in principle to analyze the influence of each factor on the quality of the membrane impurity separation operation. The test results showed that the order of influence on the impurity content in the film was: air inlet pipe speed, rotational speed of cylinder sieve and air flow angle; the order of influence on impurity content in the film was: cylinder screen speed, air inlet pipe speed and air flow angle. The comprehensive effects of various factors on the response index were analyzed by using Design-Expert software surface response diagram, which showed that the optimal rotating speed of cylinder sieve, wind speed of the inlet pipe and the inclination of the airflow were 23.8 r/min, 5.9 m/s and 2.7°, respectively, the theoretical minimum impurity rate in the film and the film content in the impurity for the optimal design were 10.60% and 0.133%, respectively. Then the secondary test was performed to verify the obtained optimal values. It was found that the impurity rate in the film and the film content in the impurity for the optimal design were 10.54% and 0.132%, respectively. The results indicated that the optimization scheme of the device was feasible. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Sieves
Controlled terms: Air? - ?Air intakes? - ?Cylinders (shapes)? - ?Optimal systems? - ?Pneumatic equipment? - ?Pneumatics? - ?Speed? - ?Testing? - ?Wind
Uncontrolled terms: Airflow distribution? - ?Comprehensive effect? - ?Impurity separation? - ?Optimization scheme? - ?Pneumatic Cylinders? - ?Rotational speed? - ?Screening performance? - ?Theoretical minimum
Classification code: 443.1 Atmospheric Properties? - ?631.1 Fluid Flow, General? - ?632.3 Pneumatics? - ?632.4 Pneumatic Equipment and Machinery? - ?804 Chemical Products Generally? - ?961 Systems Science
Numerical data indexing: Percentage 1.05e+01%, Percentage 1.06e+01%, Percentage 1.32e-01%, Percentage 1.33e-01%, Rotational_Speed 2.38e+01RPM, Velocity 5.90e+00m/s
DOI: 10.6041/j.issn.1000-1298.2020.08.014
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
5. CAR Model Optimization of Groundwater Depth in Freezing-Thawing Irrigation Area under Different Time Scales
Accession number: 20203709159352
Title of translation: CAR
Authors: Li, Xianyue (1); Cui, Jiaqi (1); Shi, Haibin (1); Sun, Ya’nan (1); Xing, Jinping (2)
Author affiliation: (1) College of Water Conservation and Civil Engineering, Inner Mongolia Agricultural University, Huhhot; 010018, China; (2) Administration of Yongji Irrigation Area of Hetao Irrigation District, Bayannur; 015000, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 247-254
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to explore the influence of different time scales data source on groundwater depth prediction and increase the accuracy of depth of groundwater prediction in the freezing and thawing irrigation area, the multivariate time series (CAR) model with monthly, quarterly and annual data were studied, and the differences, including different time scale data source and different input variables were analyzed to decrease the effects of groundwater hysteresis and nonlinear in Yongji irrigation field, Hetao Irrigation Area. The results showed that the CAR model with quarterly data source was obviously better than that with monthly and annual CAR model. The determination coefficient (R2), the Nash-Sutcliffe coefficient (Ens) and the root-mean-square error (RMSE) of the CAR model with quarterly scale data were 0.936, 0.934 and 0.046 m, respectively. Compared with the CAR model with monthly scale data, the R2 and Ens were increased by 11.30% and 11.86% and RMSE was decreased by 32.35%. Compared with the CAR model which only considered the freezing and thawing temperature, R2 and Ens of the CAR model considering the whole year temperature and CAR model without temperature were decreased by 0.53%, 0.64% and 2.98%, 3.09%, RMSE was increased by 4.55% and 11.36%. The CAR model with quarterly scale data and only the temperature in freezing and thawing period source was the optimal groundwater predictive model in the region, and R2 was 0.941, Ens was 0.940, and RMSE was 0.044 m, with high simulation accuracy, which can provide reference for groundwater depth prediction in freezing-thawing irrigation area. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 38
Main heading: Predictive analytics
Controlled terms: Forecasting? - ?Freezing? - ?Groundwater? - ?Groundwater resources? - ?Irrigation? - ?Mean square error? - ?Model automobiles? - ?Thawing? - ?Time measurement
Uncontrolled terms: Determination coefficients? - ?Different time scale? - ?Freezing and thawing? - ?Ground water depths? - ?Multivariate time series? - ?Nash-Sutcliffe coefficient? - ?Predictive modeling? - ?Root mean square errors
Classification code: 444.2 Groundwater? - ?662.1 Automobiles? - ?821.3 Agricultural Methods? - ?922.2 Mathematical Statistics? - ?943.3 Special Purpose Instruments
Numerical data indexing: Percentage 1.13e+01%, Percentage 1.14e+01%, Percentage 1.19e+01%, Percentage 2.98e+00%, Percentage 3.09e+00%, Percentage 3.24e+01%, Percentage 4.55e+00%, Percentage 5.30e-01%, Percentage 6.40e-01%, Size 4.40e-02m, Size 4.60e-02m, Size 9.34e-01m
DOI: 10.6041/j.issn.1000-1298.2020.08.027
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
6. Decoupled Parallel Vision Table with Large Workspace of Agricultural Robot
Accession number: 20203709159430
Title of translation:
Authors: Yu, Shanshan (1, 2); Zhang, Jianjun (1); Li, Weimin (1); Yang, Xianhai (2)
Author affiliation: (1) School of Mechanical Engineering, Hebei University of Technology, Tianjin; 300130, China; (2) School of Mechanical Engineering, Shandong University of Technology, Zibo; 255000, China
Corresponding author: Li, Weimin(vmin@hebut.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 406-413
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming at the demand of intelligent agricultural robots for a wider range of machine vision, a solution of parallel vision table for agricultural robot was introduced. Based on the input and output characteristics of the double rocker mechanism, a new design method of kinematic chain was presented, which can be used to design a decoupled 2-DOF parallel mechanism with a fully spherical workspace. Two feasible kinematic chains were derived, i.e. P5R and PRR. Two decoupled 2-DOF parallel vision table with a fully spherical workspace were designed based on the above kinematic chains, i.e. RR&P5R and RR&PRR. The displacement relationship of the two mechanisms were established respectively through kinematics analysis. The optimal length ratio of the members of the two mechanisms were obtained respectively through the size optimization. After comparison, the RR&P5R parallel vision table had the better input and output performance. Through statics analysis, the restraining force at each hinge was obtained. Through finite element simulation, the influence of load on the motion accuracy of RR&P5R parallel vision table was analyzed. The result showed that the strength of RR&P5R mechanism met the requirements. However, the displacement deviation of revolute joints of RR&P5R mechanism was large, which was caused by the cumulative elastic deformation of members. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Agricultural robots
Controlled terms: Agriculture? - ?Intelligent robots? - ?Kinematics? - ?Mechanisms
Uncontrolled terms: Double-rocker mechanisms? - ?Finite element simulations? - ?Input and output characteristics? - ?Input and outputs? - ?Kinematics analysis? - ?Parallel mechanisms? - ?Restraining force? - ?Size optimization
Classification code: 601.3 Mechanisms? - ?731.6 Robot Applications? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?931.1 Mechanics
DOI: 10.6041/j.issn.1000-1298.2020.08.046
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
7. Design and Experiment of Membrane Punch Device for Rapeseed Film Perforating and Precision Dibbling-planter
Accession number: 20203709159314
Title of translation:
Authors: Liao, Qingxi (1, 2); Wang, Di (1, 2); Yao, Lu (1, 2); Lin, Pian (1, 2); Wang, Lei (1, 2); Zhang, Qingsong (1, 2)
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
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 62-72
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to achieve the function of uniformly punching holes in the film for small-grain crops such as rapeseed, a film hole forming device with a flange-type roller and screw-type conical nail was designed to solve the problems existed in traditional hole-forming seeding device like large and complicated structure, adhering soil and seeds, and film damage. The ranges of main structural parameters were determined. The kinematics model of film hole forming device was built. The trajectories of key points of conical nail were analyzed. The punching process on film was determined and the film hole size was analyzed based on the trajectory equation. The four-factor and three-level virtual orthogonal experimental study of structural and working parameters of film hole forming device were carried out with the aid of ADAMS. The apex angle of conical nails, the diameter of conical nails, the radius of wheel, and the working speed were used as experimental factors. The film hole length and the distance deviation between two membrane holes were used as experimental evaluation. The simulation experimental results showed that the order of factors affecting the film hole length was the radius of wheel, the apex angle of conical nails, the diameter of conical nails, and the working speed. The order of factors affecting the distance deviation between two membrane holes was the radius of wheel, working speed, apex angle of conical nails, and diameter of conical nails. A better parameter combination was obtained: the apex angle of conical nails was 53°, the diameter of conical nails was 16 mm, the radius of wheel was 65 mm, and the working speed was 4 km/h. The field experiments were carried out with the optimal parameter combination. The results showed that the shape of most of film holes was regular and generally round-like. The length of film holes was more than 18 mm, which was consistent with the simulation results. The coefficient of variation of film hole length in each row was 4.98% and the variation coefficient of uniformity of film hole spacing in each row was 3.44%. The experimental results showed that the combination of experimental parameters was reasonable. The film hole forming device satisfied the design requirements. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 28
Main heading: Nails
Controlled terms: Oilseeds? - ?Punching? - ?Wheels
Uncontrolled terms: Coefficient of variation? - ?Complicated structures? - ?Experimental evaluation? - ?Experimental parameters? - ?Optimal parameter combinations? - ?Parameter combination? - ?Structural parameter? - ?Variation coefficient
Classification code: 601.2 Machine Components? - ?605 Small Tools and Hardware? - ?821.4 Agricultural Products
Numerical data indexing: Percentage 3.44e+00%, Percentage 4.98e+00%, Size 1.60e-02m, Size 1.80e-02m, Size 6.50e-02m, Velocity 1.11e+00m/s
DOI: 10.6041/j.issn.1000-1298.2020.08.007
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
8. Effects and Evaluation of Biochar on Physical-Chemical Properties of Coastal Saline Soil and Alfalfa Growth
Accession number: 20203709159469
Title of translation:
Authors: Zhang, Jinhong (1, 2); Wu, Bo (1, 2); Wang, Guoliang (1, 2); Jia, Chunlin (1, 2)
Author affiliation: (1) Shandong Institute of Agricultural Sustainable Development, Ji’nan; 250100, China; (2) Key Laboratory of East China Urban Agriculture, Ministry of Agriculture and Rural Affairs, Ji’nan; 250100, China
Corresponding author: Wang, Guoliang(wangguoliang@126.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 285-294
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to find out the effects of biochar on salt-affected soil physical-chemical properties and alfalfa growth in the Yellow River Delta, a pot experiment was conducted. Soil nutrients, soil structure, soil salinity, alfalfa yield and quality were analyzed under different biochar application levels (0, 0.5%, 1%, 2%, 5% and 10%). Based on grey correlation method, the biochar application effect was evaluated. The results showed that after biochar additions, soil organic matter and total nitrogen content were increased by 16.27%~246.65% and 6.38%~58.51%, respectively, but the changes of total phosphorus, available phosphorus and total potassium contents were relatively small. Meanwhile, soil bulk density was decreased significantly, while aggregates more than 0.25 mm and soil aggregates stability enhanced under lower biochar rate. Compared with CK, biochar addition treatment reduced soil water-soluble salt contents by 38.90%~46.17%, and the contents of Mg2+, Cl-, and SO42- had significant reductions. The alfalfa yield was increased by 8.19%~43.00%, however, there was no significant difference in quality. With the increase of biochar application, soil fertility appeared a increasing trend, while aggregate stability showed an opposite character. Soil salt content and alfalfa yield were decreased first and then increased. Overall, biochar application improved the salt-affected soil physical-chemical properties and alfalfa growth. And 0.5% biochar addition rate had the best application effect. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 42
Main heading: Chemical properties
Controlled terms: Aggregates? - ?Phosphorus? - ?Soil moisture? - ?Water treatment
Uncontrolled terms: Aggregate stability? - ?Application effect? - ?Available phosphorus? - ?Coastal saline soils? - ?Grey correlation methods? - ?Physical chemical property? - ?Soil organic matters? - ?Total nitrogen content
Classification code: 406 Highway Engineering? - ?445.1 Water Treatment Techniques? - ?483.1 Soils and Soil Mechanics? - ?801 Chemistry? - ?804 Chemical Products Generally
Numerical data indexing: Percentage 1.00e+00%, Percentage 1.00e+01%, Percentage 2.00e+00%, Percentage 5.00e+00%, Percentage 5.00e-01%, Size 2.50e-04m
DOI: 10.6041/j.issn.1000-1298.2020.08.031
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
9. Variable Order NURBS Surface Model for Camera Calibration
Accession number: 20203709159373
Title of translation: NURBS
Authors: Xu, Liguo (1); Sun, Ruidong (2); Dang, Jingmin (3)
Author affiliation: (1) College of Mechanical and Aerospace Engineering, Jilin University, Changchun; 130022, China; (2) College of Communication Engineering, Jilin University, Changchun; 130022, China; (3) College of Biological and Agricultural Engineering, Jilin University, Changchun; 130022, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 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: For an agricultural robot, camera vision implements the function of detecting ripeness, shape, size of crops and locating the stems precisely in order to harvest with no damage. A common calibration model with adjustable accuracy was needed to achieve higher precision in cooperative works of certain manipulator and CCD cameras. Creatively, a variable order NURBS surface model for camera calibration was presented. Firstly, seven images were acquired by a slide way and a calibration board of A0 size. The data was extracted afterward. Based on the thought of NPBS method, four double NURBS surface calibration models with order of 3, 4, 5 and 6 were setup respectively using data of five images (index: 1, 3, 4, 5 and 7). Other two images (index: 2 and 6) were used to evaluate the calibration error. According to the requiring preciseness and the calculating time, the models of order 3 and 4 were chosen to accomplish model switching (higher order models can be chosen according to higher precision requirement). Secondly, camera image plane was subdivided evenly with respect to parameter (u, v). In each subdivision, an arithmetic average deviation of calibration was calculated by using the model with lower order. Then a threshold was determined, and the diagram of model switching was formed. That meant using a higher order NURBS surface model in the higher distortion region, vice versa. Thus, orders of the NURBS surface model can be chosen according to subdivision of the image plane based on pre-evaluation of the calibration error. In experiments, it was proved that the average calibration error was under 0.89 mm. It was accurate enough for our agricultural robot prototype. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 30
Main heading: Agricultural robots
Controlled terms: Agriculture? - ?CCD cameras? - ?Damage detection? - ?Errors? - ?Robots
Uncontrolled terms: Average deviation? - ?Calculating time? - ?Calibration error? - ?Calibration model? - ?Camera calibration? - ?Cooperative works? - ?Distortion regions? - ?Higher-order models
Classification code: 714.2 Semiconductor Devices and Integrated Circuits? - ?731.5 Robotics? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control
Numerical data indexing: Size 8.90e-04m
DOI: 10.6041/j.issn.1000-1298.2020.08.048
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
10. Spatial and Temporal Distribution Characteristics of Soybean Crop Water Requirement and Drought in Heilongjiang Province in Recent 50 Years
Accession number: 20203709159481
Title of translation: 50
Authors: Li, Jiuying (1); Wang, Xinliang (2); Wang, Zhongbo (2, 3); Nie, Tangzhe (4)
Author affiliation: (1) Irrigation and Water Saving Technology Center of Heilongjiang Province, Harbin; 150040, China; (2) School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin; 150030, China; (3) Key Laboratory of Efficient Utilization of Agricultural Water Resources, Ministry of Agriculture and Rural Affairs, Northeast Agricultural University, Harbin; 150030, China; (4) School of Water Conservancy and Electric Power, Heilongjiang University, Harbin; 150080, China
Corresponding author: Nie, Tangzhe(nietangzhe527@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 223-237
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Based on the daily meteorological data of 28 meteorological stations in Heilongjiang Province from 1966 to 2015 and the observation data of 20 agricultural meteorological stations during the growth period from 1991 to 2008, the effective precipitation, water requirement and water surplus deficit index and their climate trend rate in different growth stages of soybean were calculated. The drought rank and the drought frequency and intensity of each growth stage were determined according to the water surplus deficit index. Then the corresponding distribution map was drawn by using ArcMap spatial analysis, which revealed the water supply and demand and drought situation of soybean in each growth stage in Heilongjiang Province. The results showed that the annual average effective precipitation of soybean in Heilongjiang Province was 253~370 mm, the average value was 321 mm, in addition to the initial all the other growth stages showed the distribution trend of high in the middle part and low in the east and west, the climatic trend rate of effective rainfall during the growth period of soybean was -6.16~9.09 mm/(10a), and the average value was 2.41 mm/(10a), the effective precipitation in the initial stage was on the whole increasing, but in the late season stage was on the whole decreasing. The average annual water demand of soybean was 336~465 mm, and the average value was 388 mm. In each growth stage, the water demand was low in the middle and high in the east and west areas. The climate trend rate of water requirement during the growth period of soybean was -16.01~2.42 mm/(10a), the average value was -5.17 mm/(10a), and the trend of water requirement in each growth stage was generally decreasing. It was increased firstly and then decreased from west to east areas when the average annual surplus deficit index was -44.5%~8.9% and the average value was -15% in the growth period of soybean, and an overall upward trend when the climate trend rate of water surplus deficit index was -1.89~4.92%/(10a). The drought frequency distribution and water requirement spatial distribution of soybean in different growth stages were roughly the same, among which the drought frequency in early growth and rapid growth stage was higher than that in middle growth and late growth stage, and the drought was easy to occur in spring and summer. The research result can provide a theoretical basis and reference for reasonable irrigation and drought prevention of soybean in Heilongjiang Province. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 45
Main heading: Spatial distribution
Controlled terms: Agricultural robots? - ?Drought? - ?Economics? - ?Water supply
Uncontrolled terms: Crop water requirements? - ?Different growth stages? - ?Effective rainfall? - ?Frequency distributions? - ?Meteorological data? - ?Meteorological station? - ?Spatial and temporal distribution? - ?Water supply and demands
Classification code: 444 Water Resources? - ?446.1 Water Supply Systems? - ?921 Mathematics? - ?971 Social Sciences
Numerical data indexing: Age 5.00e+01yr, Percentage -1.50e+01%, Size 2.53e-01m to 3.70e-01m, Size 3.21e-01m, Size 3.36e-01m to 4.65e-01m, Size 3.88e-01m
DOI: 10.6041/j.issn.1000-1298.2020.08.025
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
11. Effect of Processing Patterns and Protein Compositions on Destabilization of Fat Globules at Low Temperatures in Ice Cream Emulsions
Accession number: 20203709159406
Title of translation:
Authors: Cheng, Jinju (1, 2); Wang, Dong (1); Li, Xiaodong (1, 2)
Author affiliation: (1) College of Food Science, Northeast Agricultural University, Harbin; 150030, China; (2) Key Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin; 150030, China
Corresponding author: Li, Xiaodong(hrblxd@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 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: Whey protein concentrate and soy protein isolate were used to partially substitute milk protein. The effect of processing patterns and protein compositions on the fat globules destabilization at low temperatures and textural formation of ice creams was studied by pasteurization at 65 for 30 minutes prior or after homogenization. Their formulations with milk proteins, milk-whey proteins and milk-soy proteins were made. Parameters such as fat particle size distribution, protein surface coverage, rheological property of mixes, ice cream overrun, melting rate, hardness, air bubble distribution and sensory property of ice cream were analyzed. The results indicated that the fat destabilization index, rheological property and texture properties of ice cream with milk proteins were not affected by processing patterns. However, for mixed proteins with milk-whey proteins or milk-soy proteins ice cream emulsions, two kinds of processing patterns led to the increase in fat particle size, protein surface coverage and consistency index. Pasteurization treatment after homogenization resulted in higher displaced rate of adsorbed protein by sucrose fatty acid ester when compared with pasteurization prior homogenization, which favored the destabilization of fat droplets and texture formation of ice cream. The partial coalescence degree for milk-whey protein and milk-soy protein ice cream was 282.19% and 252.70%, respectively. Moreover, ice cream showed high overrun values, and good melting resistance ability and bubble distribution uniformity. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 29
Main heading: Dairies
Controlled terms: Dairy products? - ?Fatty acids? - ?Ice? - ?Melting? - ?Ostwald ripening? - ?Particle size? - ?Particle size analysis? - ?Pasteurization? - ?Proteins? - ?Rheology ? - ?Textures
Uncontrolled terms: Bubble distributions? - ?Fat destabilization? - ?Partial coalescence? - ?Protein composition? - ?Rheological property? - ?Soy protein isolates? - ?Sucrose fatty acids? - ?Whey protein concentrate
Classification code: 802.3 Chemical Operations? - ?804.1 Organic Compounds? - ?822 Food Technology? - ?931.1 Mechanics? - ?951 Materials Science
Numerical data indexing: Percentage 2.53e+02%, Percentage 2.82e+02%, Time 1.80e+03s
DOI: 10.6041/j.issn.1000-1298.2020.08.041
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
12. Estimation of Salt Transport and Relationship with Groundwater Depth in Different Land Types in Hetao Irrigation Area
Accession number: 20203709159355
Title of translation:
Authors: Wang, Guoshuai (1, 2); Shi, Haibin (1, 2); Li, Xianyue (1, 2); Guo, Jiawei (1, 2); Wang, Weigang (1, 2); Wu, Di (1, 2)
Author affiliation: (1) College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Huhhot; 010018, China; (2) High Efficiency Water-saving Technology and Equipment and Soil Water Environment Engineering Research Center of Inner Mongolia Autonomous Region, Huhhot; 010018, China
Corresponding author: Shi, Haibin(shi_haibin@sohu.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 255-269
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: With the decrease of irrigation water in Hetao Irrigation District year by year, the salt input into the irrigation district can not be effectively drained. As a result, the salt can only be redistributed in the irrigation district. Based on field measurement and laboratory experiment, the temporal and spatial variation characteristics of the soil profile, different soil layer and groundwater solute were analyzed by using geostatistics and solute dynamics methods in the cultivated land-wasteland-lake system. The soil salinity was estimated in different periods and the effect of groundwater depth on soil salinity were revealed. The results showed that a large amount of salt in the cultivated land was transported into wasteland with the groundwater during the irrigation period. Before autumn irrigation, the accumulated salinity of the wasteland was two times of that of cultivated land. After autumn irrigation, the desalination amount of wasteland was three times of that of cultivated land. In the whole growth period, the salt in soil of 1 m cultivated land still accumulated 56%. The salt was not completely discharged after autumn irrigation, and the desalination rate was 44%. There was slight salt accumulation in deep soil layer. The accumulated salt was 63% in 1 m wasteland soil and the desalination rate was 62% after autumn irrigation. The accumulated salt in soil of 1 m wasteland was 377 705 kg/hm2. The salt content of 20~100 cm wasteland recharged by groundwater was 17 985 kg/hm2, accounting for 5% of all the accumulated salt. The salt content of 0~20 cm soil was increased by 202 395 kg/hm2, accounting for 54% of all the accumulated salt. The salt content of the deep soil layer transferred by groundwater from cultivated land to wasteland was 114 015 kg/hm2, accounting for 30% of the accumulated salt. the salt content from horizontal infiltration of cultivated land to wasteland was 43 305 kg/hm2, accounting for 11% of the accumulated salt. The spatial-temporal distribution of groundwater and lake salt was strip and patch, which had greatly spatial similarity. Lake became a salt storage area. Measures should be taken to decrease the depth of groundwater by 0.2 m. The groundwater depth in the study area should be controlled between 1.7 m and 2.3 m. The results can provide theoretical basis for water and salt transport in irrigation area. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 30
Main heading: Soils
Controlled terms: Desalination? - ?Groundwater? - ?Groundwater resources? - ?Irrigation? - ?Lakes? - ?Land use
Uncontrolled terms: Ground water depths? - ?Hetao irrigation districts? - ?Irrigation districts? - ?Laboratory experiments? - ?Spatial similarity? - ?Spatial-temporal distribution? - ?Temporal and spatial variation? - ?Water and salt transports
Classification code: 403 Urban and Regional Planning and Development? - ?444.2 Groundwater? - ?445.1 Water Treatment Techniques? - ?483.1 Soils and Soil Mechanics? - ?821.3 Agricultural Methods
Numerical data indexing: Percentage 1.10e+01%, Percentage 3.00e+01%, Percentage 4.40e+01%, Percentage 5.00e+00%, Percentage 5.40e+01%, Percentage 5.60e+01%, Percentage 6.20e+01%, Percentage 6.30e+01%, Size 0.00e+00m to 2.00e-01m, Size 1.00e+00m, Size 1.70e+00m to 2.30e+00m, Size 2.00e-01m to 1.00e+00m, Size 2.00e-01m
DOI: 10.6041/j.issn.1000-1298.2020.08.028
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
13. Effect of Polyethylene Glycol on Functional Properties of Soy Protein Isolate in Maillard Reaction
Accession number: 20203709159413
Title of translation:
Authors: Man, Zhaoxin (1); Tan, Zhaolun (1); Hu, Miao (1); Li, Yang (1); Xie, Fengying (1); Qi, Baokun (1)
Author affiliation: (1) College of Food Science, Northeast Agricultural University, 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: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 351-357 and 381
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The binding degree of soy protein isolate (SPI) to dextrans (D) was changed by increasing the concentration of polyethylene glycol (PEG) by using PEG to bind the SPI and D through Maillard in a crowded liquid system. By increasing the concentration of PEG to change the degree of solute crowding in the solution, the effects of crowding at different degrees on the SPI-D Maillard response were investigated, and the changes in the structure of the SPI-D complexes were studied. Macromolecular crowding effect as a new concept in life science was introduced to the present study. In recent years scientists strongly suggested that much like pH value, ionic strength, or solution composition, the degree of molecular crowding should be considered as an important factor for describing the environmental conditions in a solution. The free amino group content and sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) were used to study the binding of SPI-D complex under different PEG concentrations. The infrared spectrum was used to indicate the hydrophobicity, free sulfhydryl content and turbidity analysis. And structure-activity relationship analysis of different saccharification degrees structural changes and functional properties of the expression of SPI emulsifying properties. The results showed that with the increase of PEG concentration, the degree of complexation of the complexes was increased, the structure of the protein was changed, the structure of α-helix was decreased, the irregular curl was increased, the hydrophobicity was decreased, and the emulsification performance continued to be improved. When the PEG concentration was 0.06 g/mL or more, the saccharification growth rate of the SPI-D complex was slowed down. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 42
Main heading: Polyethylenes
Controlled terms: Aliphatic compounds? - ?Electrophoresis? - ?Emulsification? - ?Growth rate? - ?Hydrophobicity? - ?Ionic strength? - ?Polyethylene glycols? - ?Proteins? - ?Saccharification? - ?Sodium dodecyl sulfate ? - ?Sulfur compounds
Uncontrolled terms: Emulsifying property? - ?Environmental conditions? - ?Functional properties? - ?Macromolecular crowding effects? - ?Sodium dodecyl sulfate-polyacrylamide gel electrophoresis? - ?Solution composition? - ?Soy protein isolates? - ?Structure activity relationships
Classification code: 801 Chemistry? - ?802.2 Chemical Reactions? - ?802.3 Chemical Operations? - ?803 Chemical Agents and Basic Industrial Chemicals? - ?804 Chemical Products Generally? - ?804.1 Organic Compounds? - ?815.1.1 Organic Polymers? - ?931.2 Physical Properties of Gases, Liquids and Solids
Numerical data indexing: Mass_Density 6.00e+01kg/m3
DOI: 10.6041/j.issn.1000-1298.2020.08.039
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
14. Visual Detection of SSC and Firmness and Maturity Prediction for Feicheng Peach by Using Hyperspectral Imaging
Accession number: 20203709159411
Title of translation:
Authors: Shao, Yuanyuan (1); Wang, Yongxian (1); Xuan, Guantao (1, 2); Gao, Chong (1); Wang, Kaili (1); Gao, Zongmei (3)
Author affiliation: (1) College of Mechanical and Electrical Engineering, Shandong Agricultural University, Tai’an; 271018, China; (2) Shandong Intelligent Engineering Laboratory of Agricultural Equipment, Tai’an; 271018, China; (3) Center for Precision and Automated Agricultural Systems, Washington State University, Prosser; 99350, United States
Corresponding author: Xuan, Guantao(xuangt@sina.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 344-350
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Feicheng peach is prone to spoilage due to its surface color changing rapidly after harvest, which will degrade its quality. Hyperspectral imaging technology was used to detect the soluble solid content (SSC), firmness and maturity of Feicheng peach for improving its quality and price. There were 80 maturity 70% and 90% Feicheng peach were used for hyperspectral images (400~1 000 nm), SSC and firmness collection, respectively. These samples were split into calibration set and validation set with a ratio of 2: 1 by samples set partitioning based on joint X-Y distances method after the outliers were eliminated by using Monte Carlo-partial least squares method. MLR detection models were established using feature wavelengths selected by competitive adaptive reweighted sampling (CARS) and successive projections algorithm (SPA), respectively. The more effective detection results was emerged by CARS-MLR model, with a determination coefficient of calibration set (Rc2) of 0.819 1, a determination coefficient of validation set (Rv2) of 0.843 9 and a residual prediction deviation (RPD) of 2.0 for SSC assessment, Rc2 of 0.951 8, Rv2 of 0.877 2 and RPD of 2.1 for firmness assessment. Visualization maps for SSC and firmness were generated by calculating the spectral response of each pixel on peach samples. Furthermore, the artificial neural network model was provided to predict the maturity of Feicheng peach using feature wavelengths selected by the sequential forward selection algorithm, with total recognition accuracy of 98.3%. It can be concluded that hyperspectral imaging technology can be applied to determine the SSC, firmness and maturity of Feicheng peach, laying a foundation for the on-line nondestructive quality monitoring and timely harvest of Feicheng peach. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Hyperspectral imaging
Controlled terms: Calibration? - ?Coherent scattering? - ?Feature extraction? - ?Forecasting? - ?Fruits? - ?Least squares approximations? - ?Monte Carlo methods? - ?Spectroscopy
Uncontrolled terms: Artificial neural network modeling? - ?Determination coefficients? - ?Hyperspectral imaging technologies? - ?Partial least-squares method? - ?Recognition accuracy? - ?Sequential forward selection? - ?Soluble solid content? - ?Successive projections algorithms (SPA)
Classification code: 711 Electromagnetic Waves? - ?821.4 Agricultural Products? - ?921.6 Numerical Methods? - ?922.2 Mathematical Statistics
Numerical data indexing: Percentage 7.00e+01%, Percentage 9.00e+01%, Percentage 9.83e+01%, Size 4.00e-07m to 1.00e-06m
DOI: 10.6041/j.issn.1000-1298.2020.08.038
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
15. Spatial and Temporal Variation Characteristics of Groundwater Depth Based on Minimum Response Unit
Accession number: 20203709159434
Title of translation:
Authors: Niu, Teng (1); Yue, Depeng (1); Yu, Jiaxin (2); Yu, Qiang (1); Wang, Pengchong (1); Hu, Yahui (1)
Author affiliation: (1) Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing; 100083, China; (2) College of Forestry, Beijing Forestry University, Beijing; 100083, China
Corresponding author: Yue, Depeng(yuedepeng@126.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 238-246
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Based on co-Kriging interpolation, the normalized vegetation index (NDVI), precipitation and river network density were used as covariates, and the groundwater depth of the Wengniute Banner in four phases of 2005-2017 was taken as the main variable. Then the groundwater depth in the study area was calculated. Using the improved hydrological response unit mode, the interpolated groundwater depth was spatially converted into vector data. And the traditional simple interpolation result analysis method was improved by using co-Kriging and minimum response unit to make it more suitable for actual groundwater convergence, and 551 minimum response units were obtained. Based on this, spatial and local autocorrelation analysis was performed. It can be observed that the depth of groundwater was obviously different spatially. The groundwater level was high in the west and low in the east, which was gradually affected by precipitation and rivers. The average depth of groundwater in time series did not change much, but it gradually showed a tendency of aggregation. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 28
Main heading: Groundwater resources
Controlled terms: Groundwater? - ?Interpolation
Uncontrolled terms: Ground water depths? - ?Hydrological response unit? - ?Local auto-correlation? - ?Result analysis? - ?River network? - ?Spatial and temporal variation? - ?Vector data? - ?Vegetation index
Classification code: 444.2 Groundwater? - ?921.6 Numerical Methods
DOI: 10.6041/j.issn.1000-1298.2020.08.026
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
16. Optimization Design and Experiment of Air Duct on Spray Cooling Fan
Accession number: 20203709159318
Title of translation:
Authors: Du, Zhe (1); Hu, Yongguang (1); Qiu, Shucheng (1); Chen, Yongxin (1)
Author affiliation: (1) School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang; 212013, China
Corresponding author: Hu, Yongguang(deerhu@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 118-125 and 151
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to remit the effect of high temperature damage on tea and fruit trees, a spray cooling fan with low-power consumption was designed. According to the structure size of arc plate fan blade, the structure of air duct on the spray cooling fan was modeled by Pro/E software. And the dynamic simulation was applied with Fluent software. The diameter of air outlet, length of air inlet and length of air outlet were selected as experimental factors. The total outlet pressure and wind speed were taken as indicators, which were obtained by dynamic simulation. Design-Expert 8.0.6 software was used to optimize the structure of air duct. Then, two types of nozzles with WJ-7010 and WJ-8010 were determined with flow test. With two nozzles, the optimized air duct was carried out to conduct wind speed test and spray cooling performance test. The optimized results showed that the order of significance was outlet diameter, outlet length and inlet length. The optimized combination was outlet diameter of 1 070 mm, inlet length of 350 mm and outlet length of 270 mm. Combined with the length of fan section of 220 mm, total length of the duct was 840 mm. Based on the outlet diameter of 1 070 mm and total length of 840 mm, the outlet air volume, maximum wind speed and effective air supply distance were 701.30 m3/min, 16.00 m/s and 55 m, respectively. The cooling performance test result showed that the average temperature was decreased by 0.68~11.11 and the maximum temperature difference range was 1.80~13.90 when WJ-8010 nozzle was used. At a high temperature of 38, the cooling range of spray cooling fan within a range of 0~20 m was close to 5. This machine could relieve the high temperature stress problem of tea and fruit trees. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 28
Main heading: Cooling
Controlled terms: Computer software? - ?Ducts? - ?Fans? - ?Forestry? - ?Fruits? - ?Orchards? - ?Spray nozzles? - ?Spray steelmaking? - ?Tea? - ?Wind
Uncontrolled terms: Cooling performance? - ?Experimental factors? - ?High temperature stress? - ?High-temperature damage? - ?Low-power consumption? - ?Maximum temperature differences? - ?Optimization design? - ?Optimized combinations
Classification code: 443.1 Atmospheric Properties? - ?545.3 Steel? - ?618.3 Blowers and Fans? - ?631.1 Fluid Flow, General? - ?641.2 Heat Transfer? - ?723 Computer Software, Data Handling and Applications? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products
Numerical data indexing: Size 0.00e+00m to 2.00e+01m, Size 1.07e+00m, Size 2.20e-01m, Size 2.70e-01m, Size 3.50e-01m, Size 5.50e+01m, Size 8.40e-01m, Velocity 1.60e+01m/s
DOI: 10.6041/j.issn.1000-1298.2020.08.013
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
17. Design and Test of Disc Potato Cultivator at Early Inter-tillage
Accession number: 20203709159312
Title of translation:
Authors: Yi, Shujuan (1); Sun, Zhijiang (1); Li, Yifei (1); Li, Zihui (2); Li, Jicheng (2); Lü, Jinqing (1, 2)
Author affiliation: (1) College of Engineering, Heilongjiang Bayi Agricultural University, Daqing; 163319, China; (2) 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: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 98-108
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The damage rate of potato seedlings was high when traditional potato cultivators were used in the early stage of potato emergence. The reason was that the potato seedlings in the early stage of potato emergence were vulnerable to damage. The traditional potato cultivator had a large amount of ridging, so the damage rate of potato seedlings was high during potato tillage. In order to solve this problem, a kind of disc potato cultivator was designed, which can not only adapt to the inter-tillage of potato at the early stage of seedling emergence, but also it was suitable for middle and late potato tillage. The structure and working principle of the cultivator were described, and the monomer of the ridging disc was analyzed theoretically, and the factors affecting the effect of the tillage operation were obtained. The depth of cultivation, locomotive speed and angle were used as the experimental factors, the rate of weeding and seedling injury were used as the experimental index. The test was taken place on June 1, 2019 at the Acheng Experimental and Demonstration Base of Northeast Agricultural University, and the machine was driven by a tractor. The test results showed that when the tillage depth was 0.13 m, the forward speed of the locomotive was 4.6 km/h, and the adjustment angle was 52°, the rate of weeding and seedling injury were respectively 95.2% and 3.9%. The test determined the optimal structural parameters of the ridging disk and verified the correctness of the theoretical formula. The experiment was carried out according to the agronomic requirements. Compared with the traditional potato cultivator, the ridging amount of disc potato cultivator had a large regulating range, which improved the applicable period of the machine, and it can achieve better tillage operation effect. The problem of too much ridging amount in the early stage of potato seedling emergence was basically solved by the machine. Compared with the traditional potato cultivator, it was more suitable for potato tillage operation. The research result provided an important theoretical and technical reference for the improvement and optimization of the driven-type disc potato cultivator. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 29
Main heading: Cultivation
Controlled terms: Agricultural implements? - ?Agricultural machinery? - ?Agricultural robots? - ?Automobile testing? - ?Locomotives? - ?Structural optimization
Uncontrolled terms: Design and tests? - ?Experimental factors? - ?Forward speed? - ?Large amounts? - ?Research results? - ?Seedling emergence? - ?Structural parameter? - ?Theoretical formula
Classification code: 662 Automobiles and Smaller Vehicles? - ?682.1.2 Locomotives? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods? - ?921.5 Optimization Techniques
Numerical data indexing: Percentage 3.90e+00%, Percentage 9.52e+01%, Size 1.30e-01m, Velocity 1.28e+00m/s
DOI: 10.6041/j.issn.1000-1298.2020.08.011
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
18. Skeleton Extraction Model of Walking Dairy Cows Based on Partial Affinity Field
Accession number: 20203709159347
Title of translation:
Authors: Song, Huaibo (1, 2); Li, Zhenyu (1, 2); Lü, Shuaichao (1, 2); Shang, Yuying (1, 2)
Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling; Shaanxi; 712100, China; (2) Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, 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: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 203-213
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The skeleton extraction of cows is based on the prediction of key points of cows, which can provide important reference for detection of claudication, analysis of estrus behavior, and estimation of motion of cows through point and line reconstruction of skeleton structure of cows. Based on the partial affinity field, taking the video taken by the monitoring camera of the farm as the original data, totally 1600 images were used to train the cow skeleton extraction model, and the prediction of the key point information and partial affinity field information of the cow in the standing and walking states was realized, and the accurate extraction of the cow skeleton structure through the optimal matching connection was realized. In order to verify the performance of the model, totally 100 images of single cow and 100 images of double cows were tested. The experimental results showed that the model had a 78.90% confidence in the attitude of single target walking cows, and a 10.96 percentage points decrease in the confidence of double target walking cows compared with single target walking cows. In order to test the overall accuracy of the model, the accuracy of the model under different key points similarity OKS was calculated, and the accuracy rate was 93.40% when strict standard OKS was 0.75. Furthermore, the experimental results showed that the method can extract the cow skeleton in the video, which had high confidence and low missing rate when there was no occlusion, and the confidence was decreased when there was serious occlusion. For single target and multi-target detection, the frame processing speed of the model was 3.30 f/s and 3.20 f/s, respectively, and the speed was basically the same, which can lay the foundation for multi-target cow skeleton extraction. The results showed that the model can extract the skeleton information of dairy cattle accurately and could be used for the research of lameness and calculation of motion behaviors. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Musculoskeletal system
Controlled terms: Extraction? - ?Structural optimization
Uncontrolled terms: Field informations? - ?Frame processing? - ?Multi-target detection? - ?Overall accuracies? - ?Percentage points? - ?Serious occlusions? - ?Skeleton extraction? - ?Skeleton structure
Classification code: 461.3 Biomechanics, Bionics and Biomimetics? - ?802.3 Chemical Operations? - ?921.5 Optimization Techniques
Numerical data indexing: Percentage 7.89e+01%, Percentage 9.34e+01%
DOI: 10.6041/j.issn.1000-1298.2020.08.023
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
19. Tractor Integrated Navigation and Positioning System Based on Data Fusion
Accession number: 20203709159449
Title of translation:
Authors: Li, Zhongli (1); Liu, Xiaofeng (1); Chen, Xiukui (1); Gao, Yongsheng (1); Yang, Shujun (1)
Author affiliation: (1) College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang; 471003, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 382-390 and 399
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming at the problem of positioning errors caused by terrain tilt, uneven soil hardness, and continuous turning during tractor operation in the field, a multi-sensor data fusion navigation positioning system based on GA-BP neural network training was designed. The integrated navigation system was mainly composed of RTK-GPS and IMU, and integrated GA-BP Kalman algorithm and error analysis. Based on multi-sensor navigation parameters, the positioning error of the tractor was corrected to make the tractor’s trajectory more stable. According to the established navigation and positioning system test platform based on the MK904 tractor, the original navigation and positioning information was obtained at the Luoyang Mengjin Yituo Product Test Base, and the algorithm was verified in Matlab. The test results showed that the accuracy of the roll angle of integrated navigation and positioning system was improved by 0.01 rad when the tractor was driving straight; during continuous turning, the accuracy of the roll angle was increased by 0.02 rad during the left turn, and the accuracy of the roll angle was increased by 0.04 rad during the right turn. According to the error analysis and the digital characteristics of the positioning information, it can be obtained that the GA-BP Kalman algorithm can correct the GPS positioning error caused by field fluctuations, uneven soil hardness, and continuous turning to a certain extent, so that the tractor’s driving trajectory was more stable. It provided a reference for the follow-up research of tractor path tracking control. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 27
Main heading: Global positioning system
Controlled terms: Air navigation? - ?Automobile testing? - ?Error analysis? - ?Genetic algorithms? - ?Hardness? - ?Sensor data fusion? - ?Tractors (agricultural)? - ?Tractors (truck)
Uncontrolled terms: Digital characteristics? - ?Ga-bp neural networks? - ?Integrated navigation? - ?Integrated navigation systems? - ?Multisensor data fusion? - ?Navigation and positioning? - ?Path tracking control? - ?Positioning information
Classification code: 431.5 Air Navigation and Traffic Control? - ?662 Automobiles and Smaller Vehicles? - ?663.1 Heavy Duty Motor Vehicles? - ?723.2 Data Processing and Image Processing? - ?951 Materials Science
DOI: 10.6041/j.issn.1000-1298.2020.08.043
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
20. Study of Remote Monitoring System for Silage Harvester Working Condition Based on Netty and Marshalling
Accession number: 20203709159474
Title of translation: NettyMarshalling
Authors: Mao, Wenhua (1); Han, Shaoyun (1); Zhao, Bo (1); Wang, Lili (1); Wang, Fengzhu (1); Wang, Yang (2)
Author affiliation: (1) The State Key Laboratory of Soil-Plant-Machine System Technology, Chinese Academy of Agricultural Mechanization Sciences, Beijing; 100083, China; (2) MAE Wellful Industries Co., Ltd., 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: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 145-151
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The problems of decrease in I/O speed and increase in data packet loss rate were caused by the increase of sampling frequency and concurrency of information data under the working condition of the silage harvester. Therefore, the data communication protocol and long string Codec methods of the vehicle terminals and cloud services were studied, the impact of Netty framework and traditional NIO framework on concurrency was analyzed, and three Codec methods such as Java serialization, Protobuf and Marshalling were compared and analyzed. The technical schemes of data collection, data transmission and Web application were put forward separately, and a remote monitoring system for working condition information of silage harvester was designed by use of CAN technology and Netty custom communication protocol. The simulation test showed that the system had a 0.8 times increase in concurrency, compared with the traditional data acquisition system, under the sending cycle of 500 ms. At 200 ms, 100 ms, and 50 ms transmission frequencies, the I/O speed of using Marshalling code was increased by 0.4 times, 3.9 times and 1.5 times compared with Java serialization, respectively. The 15 days of continuous field trials showed that the system run smoothly with good stability and reliability. The statistical analysis of the working condition data from the main components of the silage harvester showed that the data can be reference to the diagnosis of the working condition, and the system basically met the monitoring requirements of main components of silage harvester. The developed system can increase the I/O speed and ensure stable data access volume at high frequency and high concurrency. It had a great significance to promote the informatization and intelligent development of silage harvester mechanical equipment. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 20
Main heading: Data acquisition
Controlled terms: Condition monitoring? - ?Harvesters? - ?Java programming language? - ?Remote control
Uncontrolled terms: Data acquisition system? - ?Data communication protocols? - ?Data packet loss rate? - ?High concurrencies? - ?Mechanical equipment? - ?Remote monitoring system? - ?Sampling frequencies? - ?Transmission frequencies
Classification code: 723.1.1 Computer Programming Languages? - ?723.2 Data Processing and Image Processing? - ?731.1 Control Systems? - ?821.1 Agricultural Machinery and Equipment
Numerical data indexing: Age 4.11e-02yr, Time 1.00e-01s, Time 2.00e-01s, Time 5.00e-01s, Time 5.00e-02s
DOI: 10.6041/j.issn.1000-1298.2020.08.016
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
21. Spatial and Temporal Distributions of Crop Water Footprint and Its Influence Factors Analysis in Heilongjiang Province
Accession number: 20203709159468
Title of translation:
Authors: Liu, Wei (1); Li, Yuqing (1); Fu, Qiang (1); Meng, Jun (2); Li, Tianxiao (1); Dai, Shuang (2)
Author affiliation: (1) School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin; 150030, China; (2) School of Economics and Management, Northeast Agricultural University, Harbin; 150030, China
Corresponding author: Fu, Qiang(fuqiang0629@126.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 214-222 and 335
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to evaluate the change of crop water footprint in Heilongjiang Province in recent years, the water footprint of 11 regions in Heilongjiang Province were calculated from 2008 to 2018 based on water footprint theory, meanwhile its spatial and temporal distributions and its influential factors were analyzed. The results showed that the blue and green crop water footprints varied geographically in an enormous way, the distribution trend was high in south and north regions and low in east and west regions. According to the Spelman’s analysis of correlation coefficient, it could be acknowledged that the east-west horizontal regions had high population density, which caused small consumption of water resources used for crop irrigation and it rendered low trend in water footprint in the east-west horizontal regions. The north-south regions were devoted to agricultural production and it had high consumption of agricultural water and relatively high in blue water footprint. The north-south regions in Heilongjiang Province had good storage capacity of rainfall, so north-south regions presented high trend in green water footprint. In east-west regions, their terrains were flat with less coverage of vegetation, which made it low in green water footprint. According temporal series model to predict the regular pattern of crop water footprint in Heilongjiang Province, the total crop water footprint in Heilongjiang Province in 2021 to 2025 was forecasted as 2 050 m3/t steadily. The research result would be important in arranging the use of agricultural water resources in recent years. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 38
Main heading: Water resources
Controlled terms: Agricultural robots? - ?Crops? - ?Population statistics
Uncontrolled terms: Agricultural productions? - ?Agricultural water? - ?Correlation coefficient? - ?High population density? - ?Influential factors? - ?Regular patterns? - ?Research results? - ?Spatial and temporal distribution
Classification code: 444 Water Resources? - ?821.4 Agricultural Products
DOI: 10.6041/j.issn.1000-1298.2020.08.024
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
22. Land Use/Cover Change Trajectory Analysis Based on Improved Stable Mapping Method
Accession number: 20203709159470
Title of translation: /
Authors: Wang, Shidong (1); Feng, Zhengying (1); Yu, Yang (1, 2); Zhang, Hebing (1)
Author affiliation: (1) School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo; 454000, China; (2) China Geological Environmental Monitoring Institute, Beijing; 100081, China
Corresponding author: Yu, Yang(yuyang2005@139.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 152-162
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: As important water source of the Middle Route Project of the South-to-North Water Diversion in China, the protection and construction of ecological environment in water supply area is top priority of sustainable development of ecological environment in China. With the implementation of water diversion project, the land use and cover situation in Danjiang River Basin would be inevitably changed. Based on data source of 16 phases of Landsat TM/OLI and HJ-1A CCD image in 2002-2017 in the study area, the land use change map was extracted, the land use/cover change (LUCC) trajectory analysis method of improved stable mapping method was established, and the relationship between similarity, turnover and diversity (STD) index of stable mapping and the number of time phases was derived; the change track was divided into five first level track processes: stable, gradual, discontinuous gradual, cyclic and fluctuating, and further subdivided into two and three level track processes. On this basis, combined with quantitative models such as land use dynamic degree and landscape index, the overall characteristics and spatiotemporal changes of the study area were analyzed. The results showed that: during 2002-2017, the cultivated land in the study area was decreased significantly, the construction land and water area continued to increase, the forest land and grassland were firstly decreased and then increased, and the bare land was relatively stable; the main flow of land use change in the study area was concentrated in the construction land and water area, which was transformed from cultivated land; at the same time, due to the construction of Danjiangkou reservoir area and the implementation of the Middle Route Project of South to North Water Diversion, the water area was increased from 218.60 km2 to 400.31 km2 in length. Affected by the natural topography, the woodland in the northern mountainous and hilly areas of the study area was well protected, while the woodland, cultivated land and grassland in the transition zone between hills and plains had significantly transformed each other, accounting for 5.85% of the total area of the study area. The results can provide data support and decision-making basis for the sustainable utilization of land resources, protection of ecological environment and protection of water sources. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 31
Main heading: Mapping
Controlled terms: Decision making? - ?Ecology? - ?Environmental protection? - ?Flood control? - ?Forestry? - ?Image enhancement? - ?Land use? - ?Reservoirs (water)? - ?River basin projects? - ?River diversion ? - ?Sustainable development? - ?Topography? - ?Water supply
Uncontrolled terms: Danjiangkou reservoir? - ?Ecological environments? - ?Land use dynamic degrees? - ?Overall characteristics? - ?South to North water diversion? - ?Spatio-temporal changes? - ?Sustainable utilization? - ?Water diversion project
Classification code: 403 Urban and Regional Planning and Development? - ?405.3 Surveying? - ?441 Dams and Reservoirs; Hydro Development? - ?441.2 Reservoirs? - ?442.1 Flood Control? - ?446.1 Water Supply Systems? - ?454.2 Environmental Impact and Protection? - ?454.3 Ecology and Ecosystems? - ?912.2 Management? - ?951 Materials Science
Numerical data indexing: Area 2.19e+08m2 to 4.00e+08m2, Percentage 5.85e+00%
DOI: 10.6041/j.issn.1000-1298.2020.08.017
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
23. Design and Test of Seed Potato Cutting Device with Vertical and Horizontal Knife Group
Accession number: 20203709159321
Title of translation:
Authors: Lü, Jinqing (1); Yang, Xiaohan (1); Li, Zihui (1); Li, Jicheng (1); Liu, Zhongyuan (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: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 89-97
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming at the low degree of mechanization of seed potato cutting, and the existing potato cutting machines have problems such as poor seed cutting uniformity, low seed cutting efficiency and low integration of machinery, a seed potato cutting device was designed, and its key components were analyzed and designed. Through the mechanical analysis, kinematic analysis and energy analysis methods of seed potato cutting process, a mathematical model of seed energy was established, and the impact was determined. The main factors of potato cutting effect were the radius of disc knife, vertical center distance between conveying roller and disc knife, rotation speed of disc knife and rotation speed of clamping roller. Using the cutting efficiency as the evaluation index, the four-factor four-horizontal orthogonal test was carried out with the radius of disc knife, vertical center distance between conveying roller and disc knife, rotating speed of disc cutter shaft, and rotating speed of clamping roller shaft as test factors. Analysis of variance and range difference showed that when the radius of the disc knife was 180 mm, the vertical center distance between conveying roller and disc knife was 190 mm, the rotating speed of disc cutter shaft was 115 r/min, and the rotating speed of clamping roller shaft was 56 r/min, the seed was cut. The efficiency was 74.5 kg/min, the qualified rate of seed cutting was 98.8%, and the results of comparison verification test and optimization test were basically the same, which met the seed potato cutting operation requirements. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 30
Main heading: Disks (machine components)
Controlled terms: Cutting? - ?Rollers (machine components)? - ?Rotating machinery? - ?Speed? - ?Testing
Uncontrolled terms: Conveying rollers? - ?Cutting efficiency? - ?Cutting operations? - ?Design and tests? - ?Energy analysis method? - ?Kinematic Analysis? - ?Mechanical analysis? - ?Verification tests
Classification code: 601.1 Mechanical Devices? - ?601.2 Machine Components
Numerical data indexing: Mass_Flow_Rate 1.24e+00kg/s, Percentage 9.88e+01%, Rotational_Speed 1.15e+02RPM, Rotational_Speed 5.60e+01RPM, Size 1.80e-01m, Size 1.90e-01m
DOI: 10.6041/j.issn.1000-1298.2020.08.010
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
24. Effects of Hydrochloric Acid Pretreatment on Pyrolysis and Thermodynamic Properties of Biomass
Accession number: 20203709159429
Title of translation:
Authors: Chen, Dongyu (1); Huang, Shunchao (1); Liu, Xinyue (1); Niu, Weisheng (1); Liu, Yueyang (1); Shi, Guohong (2)
Author affiliation: (1) College of Engineering, Shenyang Agricultural University, Shenyang; 110161, China; (2) Biochar Engineering Technology Research Center, Shenyang Agricultural University, Shenyang; 110161, China
Corresponding author: Shi, Guohong(2013500014@syau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 320-327
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to further explore the influence of hydrochloric acid pretreatment on the pyrolysis characteristics of biomass, the thermogravimetric method was used to compare and analyze the pyrolysis characteristics of corn straw and poplar before and after pickling under low heating rates (10/min, 20/min, 30/min, 40/min and 50/min). The kinetic parameters and corresponding thermodynamic parameters of pyrolysis process were calculated by distributed activation energy model (DAEM), and Fourier transform infrared spectrometer (FTIR) was used to analyze the change of chemical structure of biomass before and after pickling. The results showed that the pyrolysis process of biomass experienced four stages: water loss (room temperature~120), glass transition (120~210), main pyrolysis (210~400) and carbonization (400~700). Pickling pretreatment increased the maximum weightlessness rate and the final weight loss rate of biomass pyrolysis, and reduced the generation of coke. Under the conversion rate of 20%~70%, it was calculated that the pyrolysis activation energy of corn straw and poplar before and after pickling were 218.27~340.08 kJ/mol, 225.17~291.73 kJ/mol, 227.35~254.76 kJ/mol and 197.39~235.52 kJ/mol, respectively. At the same time, the ΔH of corn straw and poplar before and after pickling were 291.09~291.28 kJ/mol, 249.68~249.82 kJ/mol, 228.68~228.86 kJ/mol and 221.78~221.93 kJ/mol, respectively. The ΔG were 119.23~122.92 kJ/mol, 118.57~125.09 kJ/mol, 123.78~128.22 kJ/mol and 121.97~129.29 kJ/mol, respectively. The ΔS were 266.54~271.42 J/(mol?K), 198.01~206.29 J/(mol?K), 156.53~159.14 J/(mol?K) and 144.02~153.81 J/(mol?K), respectively, indicating that hydrochloric acid pickling pretreatment on the whole reduced the activation energy, enthalpy change and entropy change in the process of biomass pyrolysis, increased the Gibbs free energy (ΔG), promoted the pyrolysis reaction. The infrared spectrogram of the corn straw and poplar were similar before and after pickling, but there was a significant intensity change at the same absorption peak, indicating that the pickling pretreatment had different influence on the organic functional groups of different biomass. The research result can provide theoretical basis for the efficient utilization of biomass and the design of pyrolysis process parameters. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 36
Main heading: Pyrolysis
Controlled terms: Activation energy? - ?Biomass? - ?Carbonization? - ?Chemical analysis? - ?Fourier transform infrared spectroscopy? - ?Free energy? - ?Gibbs free energy? - ?Glass transition? - ?Hydrochloric acid? - ?Metal cladding ? - ?Pickling
Uncontrolled terms: Compare and analyze? - ?Distributed activation energy model? - ?Fourier transform infrared spectrometer? - ?Infrared spectrogram? - ?Organic functional groups? - ?Pyrolysis characteristics? - ?Thermodynamic parameter? - ?Thermogravimetric method
Classification code: 641.1 Thermodynamics? - ?801 Chemistry? - ?802.2 Chemical Reactions? - ?802.3 Chemical Operations? - ?804.2 Inorganic Compounds
DOI: 10.6041/j.issn.1000-1298.2020.08.035
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
25. Thermal Error Prediction Method of CNC Machine Tools Based on Parallel Depth Belief Network
Accession number: 20203709159372
Title of translation:
Authors: Du, Liuqing (1); Yu, Yongwei (1)
Author affiliation: (1) College of Mechanical Engineering, Chongqing University of Technology, Chongqing; 400054, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 414-419
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: It is difficult to establish the accurate mapping relationship between thermal error and temperature of machine tools. Aimed at the problems of adaptability and robustness of the thermal error model based on the traditional shallow network, a method of thermal error prediction and compensation based on parallel deep learning network was proposed. A deep learning prediction model based on three sub depth belief networks in parallel was established. Each sub depth belief network had the same network structure and different weight parameters. And the restricted Boltzmann machine of the input layer was shared to each sub depth belief network. A construction method of the parallel depth network structure based on prediction error was designed to determine the number of neurons in each RBM hidden layer. A parallel depth network training method based on initial weight sharing was proposed. One of the depth belief networks of the model was pre-trained based on the unsupervised learning method with logarithmic divergence. Other depth belief networks shared the initial weight. And the back-propagation algorithm was used to further adjust the optimal weights of each sub depth belief network. The experimental results showed that the root mean square error of thermal error model based on parallel deep learning network was 2.2 μm. This method improved the adaptability and robustness of thermal error compensation greatly while improving the accuracy of prediction. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Learning systems
Controlled terms: Backpropagation? - ?Bayesian networks? - ?Computer control systems? - ?Deep learning? - ?Error compensation? - ?Forecasting? - ?Machine tools? - ?Mean square error? - ?Predictive analytics? - ?Unsupervised learning
Uncontrolled terms: Construction method? - ?Logarithmic divergence? - ?Network structures? - ?Restricted boltzmann machine? - ?Root mean square errors? - ?Thermal error compensation? - ?Thermal error modeling? - ?Unsupervised learning method
Classification code: 603.1 Machine Tools, General? - ?723.4 Artificial Intelligence? - ?723.5 Computer Applications? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?922.2 Mathematical Statistics
Numerical data indexing: Size 2.20e-06m
DOI: 10.6041/j.issn.1000-1298.2020.08.047
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
26. Construction of Tractor Working Load Data Platform and Prediction of Rotary Tillage Quality
Accession number: 20203709159448
Title of translation:
Authors: Wen, Changkai (1, 2); Xie, Bin (1, 2); Li, Ruochen (1, 2); Song, Zhenghe (1, 2); Han, Jian’gang (3); Liu, Jianghui (3)
Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University, Beijing; 100083, China; (3) Luoyang Xiyuan Vehicle and Power Inspection Institute Co., Ltd., Luoyang; 471000, China
Corresponding author: Xie, Bin(xiebincau@126.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 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: Aiming at the problems of insufficient field test data of tractors and inaccurate real-time evaluation and prediction of unit performance and agronomy, a vehicle-borne test terminal covering multi-parameters and multi-working conditions was built, and a data platform for tractor operation load was established to obtain field operation load data of key parts of tractors. Based on this platform, the field operation load data of key parts and key parts of tractors were obtained. On this basis, the intelligent algorithm for reliable real-time prediction and evaluation of tractor traction performance was studied, which provided comprehensive basic data and effective prediction algorithm for product development, performance prediction and operation evaluation. Firstly, the operation parameters and structure system of the vehicle test terminal were introduced. Then, the tractor operation load data platform based on the field operation test nationwide was designed and built. Finally, based on the large agricultural data, the BP neural network and genetic algorithm were combined to classify and mine the basic working load of the data platform. The traction performance of tractor rotary tillage was predicted and evaluated. The results showed that the prediction accuracy of the neural network based on genetic algorithm was as high as 96.77%, and the root mean square error (RMSE) was less than 0.01, which showed that the prediction accuracy of the neural network based on genetic algorithm was as high as 96.77%. Neural network algorithm based on genetic algorithm can accurately and reliably evaluate and predict traction performance of tractor rotary tillage operation. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Neural networks
Controlled terms: Agricultural robots? - ?Agriculture? - ?Automobile testing? - ?Backpropagation? - ?Forecasting? - ?Genetic algorithms? - ?Mean square error? - ?Traction (friction)? - ?Tractors (truck)
Uncontrolled terms: Intelligent Algorithms? - ?Neural network algorithm? - ?Operation evaluations? - ?Operation parameters? - ?Performance prediction? - ?Prediction algorithms? - ?Root mean square errors? - ?Traction performance
Classification code: 662 Automobiles and Smaller Vehicles? - ?663.1 Heavy Duty Motor Vehicles? - ?723.4 Artificial Intelligence? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?922.2 Mathematical Statistics? - ?931.1 Mechanics
Numerical data indexing: Percentage 9.68e+01%
DOI: 10.6041/j.issn.1000-1298.2020.08.042
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
27. Water Resources Allocation of Irrigation District Based on Fuzzy Data Mining
Accession number: 20203709159328
Title of translation:
Authors: Bao, Zhiyan (1, 2); Zheng, Gaoan (1); Wang, Xuan (3); Qiu, Yan (2); Wei, Jie (2)
Author affiliation: (1) Institute of Computer Application Technology, Zhejiang University of Water Resources and Electric Power, Hangzhou; 310018, China; (2) Water Resources Information Management Center of Zhejiang Province, Hangzhou; 310009, China; (3) Hangzhou Qiantang New Area Construction Investment Group Co., Ltd., Hangzhou; 311228, China
Corresponding author: Zheng, Gaoan(593300789@qq.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 270-277
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming to realize the reasonable allocation of water resources in irrigation district, the composition of big data resources of irrigation district was analyzed, and the corresponding data mining algorithms were proposed. The cosine correlation coefficient was introduced, and the fuzzy hierarchical cluster analysis was used to realize the case classification and characteristic analysis of department water distribution based on the data of regional water resources, economy, population and industrial water consumption. A variable step length exhaustive method was used to calculate the dynamic weight of relevant parameters of water distribution in irrigation district. Fuzzy distance was used to match the most similar irrigation district. Weighted influence factors and exponential smoothing method were used to estimate the water demand of irrigation area based on case-based reasoning. The proposed methodology demonstrated the effectiveness in the analysis of department water distribution characteristics and water demand prediction of medium-sized irrigation districts in 11 cities and administrative regions of Zhejiang Province in 2018. The results showed that water distribution among different regions in Zhejiang Province was divided into four categories, showing different characteristics of water distribution among different departments; the relative error of water demand prediction in irrigation area was not more than 9.39%. The established theoretical method could provide decision support for making reasonable regional inter industry water distribution scheme and estimating irrigation water requirement. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 34
Main heading: Water resources
Controlled terms: Case based reasoning? - ?Data mining? - ?Decision support systems? - ?Hierarchical clustering? - ?Hierarchical systems? - ?Irrigation? - ?Population statistics? - ?Water supply? - ?Water supply systems
Uncontrolled terms: Characteristic analysis? - ?Correlation coefficient? - ?Data mining algorithm? - ?Exponential smoothing method? - ?Irrigation districts? - ?Irrigation water requirements? - ?Regional water resources? - ?Water resources allocations
Classification code: 444 Water Resources? - ?446.1 Water Supply Systems? - ?723 Computer Software, Data Handling and Applications? - ?723.2 Data Processing and Image Processing? - ?821.3 Agricultural Methods? - ?961 Systems Science
Numerical data indexing: Percentage 9.39e+00%
DOI: 10.6041/j.issn.1000-1298.2020.08.029
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
28. Structure Design and Energy Harvesting Efficiency Simulation and Test of Magnetorheological Damper
Accession number: 20203709159381
Title of translation:
Authors: Hu, Guoliang (1); Yi, Feng (1); Liu, Hao (1); Shao, Shuai (1); Yu, Lifan (1)
Author affiliation: (1) Key Laboratory of Conveyance and Equipment, Ministry of Education, East China Jiaotong University, Nanchang; 330013, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 391-399
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: A novel magnetorheological damper (MRD) integrated with controllable damping, displacement self-induced and vibration energy harvesting ability was proposed to solve the problems of simple function integration and low efficiency of vibration energy harvesting in conventional MRD systems. The working principle of the proposed MRD was analyzed, especially the principle of vibration energy harvesting device with a single induction coil and a double induction coil, and winding frame with a non-magnetic and a low-magnetic material were explained in detail. Then, the vibration energy harvesting device with the single induction coil and double induction coil was simulated by ANSYS software. The prototype of the proposed MRD was manufactured, and the experimental test system was also set up. Afterwards, the energy harvesting performance of the developed MRD with the single induction coil and double induction coil was experimentally tested, respectively. The experimental results showed that the induced voltage with the double induction coil was 2.512 V and the energy harvest power with the double induction coil was 1.5 W under the sinusoidal displacement excitation with 7.5 mm amplitude and 4 Hz frequency, and the energy harvesting efficiency was about twice of that with the single induction coil. In addition, the energy harvesting efficiency with the non-magnetic and low-magnetic winding frame of the proposed MRD was almost the same. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 23
Main heading: Energy harvesting
Controlled terms: Magnetic materials? - ?Magnetism? - ?Vibration analysis? - ?Winding
Uncontrolled terms: Controllable damping? - ?Experimental test? - ?Function integration? - ?Magneto-rheological dampers? - ?Magnetorheological damper? - ?Single induction coil? - ?Vibration energy harvesting? - ?Vibration energy harvesting device
Classification code: 525.5 Energy Conversion Issues? - ?691.2 Materials Handling Methods? - ?701.2 Magnetism: Basic Concepts and Phenomena? - ?708.4 Magnetic Materials
Numerical data indexing: Frequency 4.00e+00Hz, Power 1.50e+00W, Size 7.50e-03m, Voltage 2.51e+00V
DOI: 10.6041/j.issn.1000-1298.2020.08.044
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
29. Best Subset Selection Based Rice Panicle Segmentation from UAV Image
Accession number: 20203709159386
Title of translation:
Authors: Cao, Yingli (1); Liu, Yadi (1); Ma, Dianrong (2); Li, Ang (1); Xu, Tongyu (1)
Author affiliation: (1) College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang; 110866, China; (2) Key Laboratory of Northeast Rice Biology, Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Shenyang Agricultural University, Shenyang; 110866, China
Corresponding author: Xu, Tongyu(yatongmu@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 171-177 and 188
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 ability of panicle recognition by each channel or index of digital image color space is not clear, in rice yield estimation based on UAV image, an effective panicle characteristic-selecting method was developed. The field experimental data were collected from super rice achievement transformation base of Shenyang Agricultural University in 2017 and 2018, including high-resolution digital image collected with UAV and the number of panicles in each sampling square in rice plots. In order to identify the panicle recognition ability of channels or index in the RGB and HSV color space, a tri-classification image sample library of rice panicle, leaf and background was firstly constructed, and features extraction was performed by using the best subset selection (BSS) algorithm. The BSS extracted the seven characteristic parameters which were suitable for panicle segmentation of japonica rice in Northeast China, and used as input to panicle segmentation model based on BP neural network. The recognized panicle pixels from segmentation model were clustered by connected component analysis and the number in each sampling square was estimated, which can be compared with field measurement results for quantitively error analyzing. The results showed that the best subset selection based feature extraction performed best when the number of the feature was 7 (features were R, B, H, S, V, GLI and ExG, respectively), and the latitude was 3 m. The corresponding minimum MSE of cross validation is 0.036 3. The rice panicle segmentation model can effectively achieve the extraction of japonica rice panicle in Northeast China, with the average RMSE and MAPE of rice panicle number extraction in three flight altitude images taken by 3 m, 6 m and 9 m were 9.03 and 10.60%, 11.21 and 14.88%, 13.10 and 17.16%, respectively. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Image segmentation
Controlled terms: Agricultural robots? - ?Color? - ?Extraction? - ?Feature extraction? - ?Metadata? - ?Unmanned aerial vehicles (UAV)
Uncontrolled terms: BP neural networks? - ?Classification images? - ?Connected component analysis? - ?Features extraction? - ?Field measurement? - ?High resolution digital images? - ?Recognition abilities? - ?Segmentation models
Classification code: 652.1 Aircraft, General? - ?741.1 Light/Optics? - ?802.3 Chemical Operations
Numerical data indexing: Percentage 1.06e+01%, Percentage 1.12e+01%, Percentage 1.31e+01%, Percentage 1.49e+01%, Percentage 1.72e+01%, Percentage 9.03e+00%, Size 3.00e+00m, Size 6.00e+00m, Size 9.00e+00m
DOI: 10.6041/j.issn.1000-1298.2020.08.019
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
30. Prediction of Tomato Canopy SPAD Based on UAV Multispectral Image
Accession number: 20203709159390
Title of translation: SPAD
Authors: Tian, Juncang (1, 2); Yang, Zhenfeng (1); Feng, Kepeng (1, 2); Ding, Xinjun (1)
Author affiliation: (1) School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan; 750021, China; (2) Engineering Technology Research Center of Water-saving Irrigation and Water Resource Regulation in Ningxia, Yinchuan; 750021, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 178-188
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Precise prediction of chlorophyll content in different vertical positions of tomato canopy is an important indicator for timely prevention and control of tomato diseases and insect pests, precise fertilization and irrigation. UAV can quickly and efficiently obtain crop canopy spectral information, which facilitates agricultural production. Aiming to predict the soil and plant analysis development (SPAD) values of different vertical positions of tomato canopy by using multispectral remote sensing images of UAV. Firstly, a UAV equipped with a multispectral camera (Sequoia) was used to obtain multispectral images of the tomato blooming and fruit setting stage, fruiting early stage and fruiting late stage. At the same time, SPAD-502Plus chlorophyll meter was used to measure the SPAD values of the upper, middle, lower and the whole canopy of tomato. The SPAD values of the three growth periods of tomato showed that the SPAD values of the upper leaves of tomato canopy were higher than those of the middle and lower leaves in the fruit setting stage, and the SPAD values of the middle leaves of tomato canopy were higher than those of the upper and lower leaves in the fruiting stage. Secondly, RTK was used to record the location of sampling points to establish region of interest (RoI) and extract the reflectivity of each band in RoI. Vegetation index was calculated according to the reflectance data. The correlation and sensitivity between SPAD values and vegetation index of tomato upper, middle, lower and the whole canopy were analyzed. Finally, the best vegetation index was selected and the prediction model of SPAD value was established. The study results were as follows: the correlation degree and linear sensitivity of SPAD values and vegetation index of the upper canopy leaves were better than those of the middle and lower canopy leaves. In the same prediction model, R2 value of the upper and the whole canopy prediction model was higher than that of the middle and the lower canopy, so it was difficult to accurately predict the chlorophyll content of the lower canopy only by using the canopy spectrum. The R2 value of support vector machine (SVR) model in the upper, middle and lower layers of canopy and the whole canopy was higher than that of partial least squares (PLS) and BP neural network model. The research result provided a method basis for UAV to accurately predict tomato canopy chlorophyll. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 46
Main heading: Fruits
Controlled terms: Agricultural robots? - ?Backpropagation? - ?Chlorophyll? - ?Disease control? - ?Forecasting? - ?Forestry? - ?Image segmentation? - ?Least squares approximations? - ?Multilayer neural networks? - ?Predictive analytics ? - ?Reflection? - ?Remote sensing? - ?Support vector machines? - ?Unmanned aerial vehicles (UAV)? - ?Vegetation
Uncontrolled terms: Agricultural productions? - ?BP neural network model? - ?Chlorophyll contents? - ?Multi-spectral cameras? - ?Multispectral remote sensing image? - ?Partial least square (PLS)? - ?Prevention and controls? - ?Soil and plant analysis
Classification code: 652.1 Aircraft, General? - ?723 Computer Software, Data Handling and Applications? - ?723.4 Artificial Intelligence? - ?804.1 Organic Compounds? - ?821.4 Agricultural Products? - ?921.6 Numerical Methods
DOI: 10.6041/j.issn.1000-1298.2020.08.020
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
31. Soil Microbiome Screening for Carbon Fixation and Nitrogen Metabolism Pathways Based on KEGG Database
Accession number: 20203709159303
Title of translation: KEGG
Authors: Wang, Xiaoli (1); Wang, Shulan (1)
Author affiliation: (1) College of Agronomy, 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: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 303-310
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Using metagenome sequencing technology and fixed carbon and nitrogen metabolism in KEGG database as a research tool, taking wheat continuous cropping grain long-term positioning of three methods for fertilizing soil in Shaanxi Weihe Hanyuan as the research object, the influence of microbes in the farmland ecosystem in the region of fixed carbon and nitrogen metabolism pathway of main microbial species and functional genes were analyzed, and the results were as follows: PcoA analysis of metabolic pathways of soil microorganisms at KEGG database Level 3 at three fertilization levels showed that the abundance of functional genes in soil under conventional fertilization was closely related to the balanced fertilization treatment, but it was far from that under low fertilization. Fertilization significantly changed the functional gene abundance of carbon fixation and nitrogen metabolism, and the main functional genes of conventional fertilization and balanced fertilization were larger than that of low-dose fertilization. In the carbon fixation pathway, the abundance of main functional genes in the conventional fertilization was greater than that in the balanced fertilization, and in the nitrogen metabolism pathway, the abundance of the main functional genes in the balanced fertilization was greater than that in the conventional fertilization. Sorangium, Spiribacter, Lentzea, Rhodovibrio, Pseudomonas, Flavihumibacter, Streptomyces, Nitrososphaera, Rubrobacter, Dyadobacter, Novosphingobium, Pedosphaera, Thermogemmatispora were population of soil carbon fixation pathway marker microorganisms in this region. E4.2.1.2A.fumA.fumB, E2.3.1.9.atoB, mdh, ACSS.acs, korB.oorB.oforB, pps.ppsA, ppdK, sdhA.frdA, K18594, K18604, E4.2.1.2 B.fumC, folD, ppc and accA produced significant responses to carbon fixation function genes for fertilization level. Sphingopyxis, Alcanivorax, Nitrosospira, Aeromicrobium, Roseiflexus, Devosia, Altererythrobacter were major species of nitrogen metabolism. nirB, nasA, nasB, nrt.nak.nrtP.nasA and GDH2 were the main functional genes of nitrogen metabolism in this region. Balanced fertilization was more beneficial to fertilizer saving and emission reduction and sustainable use of soil, which was the fertilization level suitable for continuous wheat field in this region. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 29
Main heading: Nitrogen fixation
Controlled terms: Bacteria? - ?Carbon? - ?Database systems? - ?Ecosystems? - ?Emission control? - ?Genes? - ?Metabolism? - ?NASA? - ?Nitrogen? - ?Soils
Uncontrolled terms: Carbon fixation pathway? - ?Emission reduction? - ?Farmland ecosystem? - ?Functional genes? - ?Metabolic pathways? - ?Microbial species? - ?Nitrogen metabolism? - ?Soil micro-organisms
Classification code: 451.2 Air Pollution Control? - ?454.3 Ecology and Ecosystems? - ?461.2 Biological Materials and Tissue Engineering? - ?483.1 Soils and Soil Mechanics? - ?723.3 Database Systems? - ?802.2 Chemical Reactions? - ?804 Chemical Products Generally
DOI: 10.6041/j.issn.1000-1298.2020.08.033
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
32. Design and Experiment of Special Header of Oil Sunflower Combine Harvester
Accession number: 20203709159374
Title of translation:
Authors: Liu, Wei (1); Huang, Xiaomao (1, 2); Ma, Li’na (1, 2); Zong, Wangyuan (1, 2); Zhu, Yunfei (3)
Author affiliation: (1) College of Engineering, Huazhong Agricultural University, Wuhan; 430070, China; (2) Key Laboratory of Agriculture Equipment in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affains, Wuhan; 430070, China; (3) Xingguang Agricultural Machine Co., Ltd., Huzhou; 313017, China
Corresponding author: Huang, Xiaomao(huangxiaomao@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: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 83-88 and 135
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In view of the problems of material blockage, accumulation and the sunflower plate can not enter the header due to the reel rewind in the domestic oil sunflower combine harvesters, according to planting model and agronomic requirements of oil sunflower in China, a special header for oil sunflower combined harvesters with low loss was designed. The analysis was carried out on the posture of the sunflower stalks during the dividing process to determine the width and length of the inner divider and the inner divider gap. Selecting different values of reel speed ratio λ to carry out simulation analysis to the reel’s motion trajectory in order to determine the range of reel speed ratio and get the optimal diameter and speed of reel. In order to reduce the impact of the dial finger on the sunflower disk during the conveying of the auger, and prevent the sunflower stalk getting entangled on the auger, a scraper conveyor auger was designed. The cutting speed of the reciprocating cutter was determined by the knife-to-machine speed ratio γ to ensure a good cutting effect. For evaluating the actual harvest effect of oil sunflower harvester, a field experiment was carried out in Henan Zhuangzi Village, Fukang City, Xinjiang Uygur Autonomous Region. The forward speed of the whole machine was 0.8 m/s, the feed rate was 3.3 kg/s, and the average loss rate of the header was 1.42%. The operation of the whole machine was stable during the harvesting operation, and there was no accumulation and blockage of the inner and outer dividers, conveying auger feeding smoothly and without entanglement, and there was no return of the oil sunflower plant at the reel, which met the design requirements of the oil sunflower combine harvester header. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 17
Main heading: Sunflower oil
Controlled terms: Augers? - ?Combines? - ?Harvesters? - ?Reels? - ?Speed
Uncontrolled terms: Combine harvesters? - ?Harvesting operations? - ?Motion trajectories? - ?Optimal diameters? - ?Simulation analysis? - ?Sunflower plants? - ?Sunflower stalks? - ?Xinjiang Uygur autonomous region
Classification code: 502.2 Mine and Quarry Equipment? - ?691.2 Materials Handling Methods? - ?804.1 Organic Compounds? - ?821.1 Agricultural Machinery and Equipment
Numerical data indexing: Mass_Flow_Rate 3.30e+00kg/s, Percentage 1.42e+00%, Velocity 8.00e-01m/s
DOI: 10.6041/j.issn.1000-1298.2020.08.009
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
33. Design of Automatic Steering System Based on Direct Connection of DC Motor and Full Hydraulic Steering Gear
Accession number: 20203709159476
Title of translation:
Authors: Yang, Yang (1, 2); Zhang, Gang (1); Zha, Jiayi (1); Li, Yankai (1); Zhang, Tie (3); Chen, Liqing (1, 2)
Author affiliation: (1) School of Engineering, Anhui Agricultural University, Hefei; 230036, China; (2) Anhui Intelligent Agricultural Machinery Equipment Engineering Laboratory, Hefei; 230036, China; (3) Chinese Academy of Agricultural Mechanization Sciences, Beijing; 100083, China
Corresponding author: Chen, Liqing(13838470472@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 44-54 and 61
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The automatic steering system of agricultural machinery equipment includes electric hydraulic automatic steering system and electric steering wheel automatic steering system. However, the electric hydraulic steering system has the disadvantages of high production cost and complex structure, and the electric steering wheel steering system has the problem of small control moment and free travel. In order to solve those problems, an automatic steering mechanism and its electronic control system were designed based on the direct connection between DC motor and full hydraulic steering gear. The automatic steering system mainly consisted of automatic steering actuator, automatic steering controller, hydraulic steering mechanism and wheel angle sensor. Automatic steering actuator and the original car hydraulic steering mechanism was coupled to achieve automatic steering function. In order to improve the accuracy of steering control of the wheels, an automatic steering controller was designed which considered Ackerman angle. An electromagnetic clutch and a steering column torque sensor were installed on the output shaft of the steering drive motor to realize automatic switching between manual driving and automatic driving. The automatic steering system designed was processed and applied to tractor, harvester and plant protection machine, which can meet the needs of use. The test results showed that the average deviation value of wheel response angle was less than 0.1°, the maximum deviation value was 0.158°, the response time of ±20° step signal can reach 1.2 s and the overshoot was less than 1%. Moreover, the step response was non-oscillatory, which was faster, accurate and stable than the traditional steering control system. The automatic steering system designed not only met the performance index of automatic steering control, but also reduced the production cost, which provided support for the development of agricultural navigation technology. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Automobile steering equipment
Controlled terms: Agricultural robots? - ?Agriculture? - ?Automobile drivers? - ?Control systems? - ?Controllers? - ?Costs? - ?DC motors? - ?Hydraulic actuators? - ?Systems analysis? - ?Wheels
Uncontrolled terms: Automatic steering control? - ?Automatic switching? - ?Electromagnetic clutch? - ?Electronic control systems? - ?Navigation technology? - ?Performance indices? - ?Steering control system? - ?Steering mechanisms
Classification code: 432 Highway Transportation? - ?601.2 Machine Components? - ?662.4 Automobile and Smaller Vehicle Components? - ?705.3.2 DC Motors? - ?731.1 Control Systems? - ?732.1 Control Equipment? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?911 Cost and Value Engineering; Industrial Economics? - ?961 Systems Science
Numerical data indexing: Percentage 1.00e+00%, Time 1.20e+00s
DOI: 10.6041/j.issn.1000-1298.2020.08.005
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
34. Parameter Calibration of Alfalfa Seed Discrete Element Model Based on RSM and NSGA-
Accession number: 20203709159409
Title of translation: RSMNSGA-
Authors: Ma, Wenpeng (1); You, Yong (1); Wang, Decheng (1); Yin, Shijie (1); Huan, Xiaolong (1)
Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China
Corresponding author: Wang, Decheng(wdc@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: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 136-144
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to find the optimal contact parameters combination of alfalfa seed discrete element model, a device and method which can simultaneously measure the repose angle and accumulation angle of materials were provided. The difference between measured value and simulated value of repose angle and accumulation angle were used as indicators to calibrate the parameters of the alfalfa seed model. The Plackett-Burman test was used to screen out the contact parameters that had significant impacts on the index. The second order mathematical models between the significant parameters and the index were established by using response surface methodology (RSM). The non-dominated sorting genetic algorithm (NSGA-) was used to obtain the optimal contact parameter combination of alfalfa seed discrete element model, that was, the inter-species collision recovery coefficient was 0.47, the inter-species static friction coefficient was 0.24, and the inter-species rolling friction coefficient was 0.08. Finally, the trough wheel seeder was used for experimental verification. The results showed that the average relative error of the measured and simulated values of alfalfa seed mass flow rate under different seeding wheel speeds was 2.89%, therefore the discrete element model and contact parameters of the alfalfa seed can be used in discrete element simulation experiments, and the multi-objective optimization method based on RSM and NSGA- had certain scientificness and feasibility. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 27
Main heading: Genetic algorithms
Controlled terms: Multiobjective optimization? - ?Stiction? - ?Wheels
Uncontrolled terms: Average relative error? - ?Discrete element modeling? - ?Discrete element simulation? - ?Experimental verification? - ?Non- dominated sorting genetic algorithms? - ?Parameter calibration? - ?Response surface methodology? - ?Static friction coefficient
Classification code: 601.2 Machine Components? - ?921.5 Optimization Techniques
Numerical data indexing: Percentage 2.89e+00%
DOI: 10.6041/j.issn.1000-1298.2020.08.015
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
35. Design and Test of Piezoelectric Flow Sensor for Pneumatic Seeder
Accession number: 20203709159371
Title of translation:
Authors: Zhao, Bo (1); Fan, Xueqian (1); Zhou, Liming (1); Li, Yang (1); Che, Yu (1); Niu, Kang (1)
Author affiliation: (1) Chinese Academy of Agricultural Mechanization Sciences, Beijing; 100083, China
Corresponding author: Zhou, Liming(haibo1129@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 55-61
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Seed flow during sowing will affect the quality of sowing, which will seriously affect yield when blockage occurs. In order to realize the fast and accurate detection of the seeding quality of the air-flow conveying seeder, an arc array seeding flow sensor based on piezoelectric ceramics was designed. Based on the analysis of the seed movement characteristics of the airflow distributor outlet, the sensing unit layout and the overall structure of the sensor were optimally designed; the seed collision experiments under different conditions were used to determine the structural size and material of the sensing unit; a signal conditioning circuit and a pulse counting circuit were designed to realize the online measurement of seeds and real-time transmission through CAN communication. The effect of airflow pressure and metering quantity on the detection accuracy of the sensor was analyzed using the airflow seeding test bench. In the normal working pressure range, the detection error and air pressure approximately met the linear relationship. Based on this, a calibration model for sensor detection was further proposed and bench verification was performed. The test results showed that the maximum detection error of the sensor was within 5% when the air pressure was 166 Pa and the seeding rate was less than 170 seeds/s under the recommended operating parameters, and the accuracy rate of the sensor’s alarm for blockage failure can reach 100%. The system can effectively monitor the seeding performance of the air-flow conveying seeder, which can help to improve the quality of seeding operations. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Signal conditioning circuits
Controlled terms: Air? - ?Atmospheric pressure? - ?Electric network analysis? - ?Error detection? - ?Piezoelectric ceramics? - ?Piezoelectricity
Uncontrolled terms: CAN communications? - ?Collision experiments? - ?Linear relationships? - ?Movement characteristics? - ?On-line measurement? - ?Operating parameters? - ?Real-time transmissions? - ?Seeding performance
Classification code: 443.1 Atmospheric Properties? - ?701.1 Electricity: Basic Concepts and Phenomena? - ?703.1.1 Electric Network Analysis? - ?708.1 Dielectric Materials? - ?722.4 Digital Computers and Systems? - ?804 Chemical Products Generally
Numerical data indexing: Percentage 1.00e+02%, Percentage 5.00e+00%, Pressure 1.66e+02Pa
DOI: 10.6041/j.issn.1000-1298.2020.08.006
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
36. NPP Simulation of Agricultural and Pastoral Areas Based on Landsat and MODIS Data Fusion
Accession number: 20203709159466
Title of translation: LandsatMODISNPP
Authors: Yin, Xiaojun (1, 2); Zhu, Honghui (3); Gao, Jerry (4); Gao, Jun (5); Guo, Lijie (1, 2); Gou, Zhenzhen (1, 2)
Author affiliation: (1) College of Information Science and Technology, Shihezi University, Shihezi; 832003, China; (2) Geospatial Information Engineering Research Center, Xinjiang Production and Construction Corps, Shihezi; 832003, China; (3) College of Economics and Management, Shihezi University, Shihezi; 832003, China; (4) Department of Computer Engineering, San Jose State University, San Jose; CA; 95192, United States; (5) Anhui Sichuang Electronic Co., Ltd., Hefei; 230094, China
Corresponding author: Zhu, Honghui(zhuhonghui1973@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 163-170
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Northern Tianshan of China is an important development base of agricultural and animal husbandry. The space-time information of net primary productivity (NPP) was accurately obtained based on remote sensing data, the grassland resources of agricultural and pastoral areas can be rationally allocated. It has important and actual significance to the development of northern Tianshan. Due to the influence of weather and the limitation of time and space resolution of satellite sensors, it is difficult to obtain remote sensing data with medium space resolution and high time resolution series. Based on the middle spatial resolution Landsat 8 OLI data and the high time resolution series MODIS data, the middle spatial resolution and high time resolution series remote sensing data were obtained by using STARFM algorithm for space-time fusion of remote sensing data. Then, the vegetation NPP in the middle section of the northern Tianshan was simulated through the CASA model. The results showed that the relationship coefficient r of the fused NDVI data and Landsat 8 OLI NDVI data was not more than 0.759, the Bias was between 0.006 2 and 0.009 4 and RMSE was between 0.074 and 0.135 in eight periods in 2016. There were good space detail information of the NPP simulated of the fusion data and CASA model. The R2 of NPP simulation value and field measurement value was 0.860 1. The research results can provide method for the collaborative simulation of NPP by multi-source remote sensing image fusion technology and light utilization model. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 36
Main heading: Remote sensing
Controlled terms: Agricultural robots? - ?Agriculture? - ?Ecosystems? - ?Image fusion? - ?Image resolution? - ?Radiometers? - ?Space optics
Uncontrolled terms: Collaborative simulation? - ?Grassland resource? - ?High-time resolution? - ?Net primary productivity? - ?Remote sensing data? - ?Remote sensing images? - ?Space-time informations? - ?Spatial resolution
Classification code: 454.3 Ecology and Ecosystems? - ?656.1 Space Flight? - ?723.2 Data Processing and Image Processing? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?944.7 Radiation Measuring Instruments
DOI: 10.6041/j.issn.1000-1298.2020.08.018
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
37. Effect of Ultrasound Time on Structure and Emulsifying Property of Soybean-Whey Mixed Protein
Accession number: 20203709159431
Title of translation: -
Authors: Wang, Xibo (1); Wang, Lin (1); Zhou, Guowei (1); Qiao, Jinwen (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: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 358-364
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: More and more attention has been paid to the double-protein food, which is beneficial to human health by mixing animal and plant proteins. Therefore, it is vital to understand the structure and properties of soybean-whey mixed protein, and its impact on mixed food texture and sensory quality. The effects of ultrasound treatment on the emulsifying activity and structural properties of soybean-whey (SPI-WPI) mixed protein were studied. The effect of ultrasound treated time on the structural and emulsifying property of SPI-WPI was studied by SDS-PAGE, Fourier infrared spectrum, UV absorption spectra and ANS fluorescence probe emission spectra. The results showed that ultrasound treatment had no significant influence on primary structure of SPI-WPI mixed protein. However, it had a significant effect on secondary structure and tertiary structure. The content of α-helix and β-sheet were decreased, the content of β-turn was increased, and the content of unordered was also increased slightly with the increase of ultrasound treatment. The results of surface hydrophobicity and UV-visible spectrum showed that the conformation of the mixed protein system was changed because of ultrasound, the polypeptide chains were partially expanded, hydrophobic groups were exposed, and the protein structure became more stretched. The turbidity of the treated samples was significantly lower than that of the untreated samples, indicated that the ultrasound treatment produced a cavitation effect that made the protein molecules more dispersed, and the resulting protein had a higher emulsification activity. The emulsification activity and emulsion stability of the mixed protein system were increased first and then decreased, reaching a maximum at 30 min. The results showed that the emulsification of SPI-WPI mixed system could be significantly improved by different treated time. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 36
Main heading: Emulsification
Controlled terms: Absorption spectroscopy? - ?Dairies? - ?Emission spectroscopy? - ?Hydrophobicity? - ?Proteins? - ?Structural properties? - ?Textures? - ?Ultrasonics
Uncontrolled terms: Emulsifying activity? - ?Emulsifying property? - ?Secondary structures? - ?Structure and properties? - ?Surface hydrophobicity? - ?Tertiary structures? - ?Ultrasound treatments? - ?UV absorption spectrum
Classification code: 408 Structural Design? - ?753.1 Ultrasonic Waves? - ?802.3 Chemical Operations? - ?804.1 Organic Compounds? - ?822.1 Food Products Plants and Equipment? - ?931.2 Physical Properties of Gases, Liquids and Solids? - ?951 Materials Science
Numerical data indexing: Time 1.80e+03s
DOI: 10.6041/j.issn.1000-1298.2020.08.040
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
38. Investigation on Flexible Pressure Sensor Array and Signal Acquisition System
Accession number: 20203709159382
Title of translation:
Authors: Zhu, Yinlong (1); Hua, Chao (1); Su, Xiaofang (1); Geng, Lingbo (2); Hu, Zhiqiang (2); Su, Haijun (3)
Author affiliation: (1) College of Mechatronics Engineering, Nanjing Forestry University, Nanjing; 210037, China; (2) State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang; 110016, China; (3) Department of Mechanical and Aerospace Engineering, Ohio State University, Columbus; OH; 43210, United States
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 400-405 and 413
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to improve the safety of robot-human interaction, a new type of intelligent material named electroactive polymer (EAP) was chosen as the sensitive material of the sensor array unit, and a flexible pressure sensor array and its signal acquisition system were designed. The mathematical model of the input and output of the pressure sensor was presented and a method of increasing the force sensory information by using bicubic interpolation method was proposed. Furthermore, a prototype of the sensor based on VHB4910 was fabricated. Finally, the feasibility, accuracy and practicality of the sensor array were validated by calibration experiments and application experiments. The experimental results showed that the difference between the theoretical value and the measured value of the developed sensor capacitance was about 0.01 pF, the experimental results agreed well with the theoretical one. The maximum sensitivity was 0.134 3 pF/N and in the range of 0~6 N, and the repeatability index was 28.73%. This tactile sensing display was flexible prone to stretch and had other excellent performance such as simple structure, good flexibility, easy to carry, and abrasion resistance. The tactile display had great application potential in case of safety of robot interaction, which can be used to test the surface contact force when the robot grasped some vulnerable objects such as eggs and strawberries. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Signal processing
Controlled terms: Conducting polymers? - ?Flexible displays? - ?Intelligent robots? - ?Pressure sensors? - ?Social robots
Uncontrolled terms: Bicubic interpolation? - ?Calibration experiments? - ?Electro-active polymers? - ?Flexible pressure sensors? - ?Maximum sensitivity? - ?Robot-human interaction? - ?Sensory information? - ?Signal acquisitions
Classification code: 708.2 Conducting Materials? - ?716.1 Information Theory and Signal Processing? - ?722.2 Computer Peripheral Equipment? - ?731.6 Robot Applications? - ?944.3 Pressure Measuring Instruments
Numerical data indexing: Capacitance 1.00e-14F, Force 0.00e+00N to 6.00e+00N, Percentage 2.87e+01%
DOI: 10.6041/j.issn.1000-1298.2020.08.045
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
39. Design and Test of Straw Coating Device for Peanut Combine Harvester
Accession number: 20203709159415
Title of translation:
Authors: Yang, Ranbing (1, 2); Wang, Zhengzeng (1); Shang, Shuqi (1, 2); Chen, Mingdong (1, 2); Wang, Jie (1); Wang, Zhichao (1)
Author affiliation: (1) College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao; 266109, China; (2) Shandong Provincial Engineering Technology Research Center for Root Crops Production Equipment, Qingdao; 266109, China
Corresponding author: Shang, Shuqi(sqshang@qau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 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: Aimed at the problem that the research and development of peanut silage coated silage equipment in China is not perfect, and the joint harvest of peanut fruit seedlings can not be achieved, a fixed straw bale film device was developed on the basis of the 4HB-2A peanut combine harvester. A polyethylene stretched film with width of 25 cm and thickness of 25 μm was taken as object. By analyzing the elongation rate and overlap rate of the envelope, it was determined that the stretch rate and the overlap rate of the stretched film were 50% when the bale was wrapped. The film guide mechanism was designed according to the requirements of the elongation rate of the stretched film. The torsion angle of the torsion spring τ>68° and the film roll angle θ>108° were obtained through the force analysis of the film guide mechanism. Based on the analysis of the bale specifications, the transverse shrinkage of the stretched film, and the overlap of the envelope, it was determined that the rotation speed ratio of the device rotation and the rotation of the bale was 18. Through the transmission cooperation relationship of the coating device and the design of the bearing drum, the rotation speed ratio of the device rotation and the bale rotation reached the expected value. Based on ADAMS, the lift angle of the pneumatic cylinder of envelope device was simulated, and the lift angle of the device was determined to be 66°. The field performance test results showed that the fixed film device had a stretched film elongation rate of 51.4%, and the film efficiency of the two-layer, four-layer and six-layer coatings was 10.5 s/layer, 8.4 s/layer and 7.6 s/layer, respectively. The coefficients of variation of uniformity were 12.20%, 7.70% and 4.70%, respectively. All indicators met the qualified standards, and the quality of coating can meet the requirements of peanut seedlings silage. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 28
Main heading: Oilseeds
Controlled terms: Coatings? - ?Elongation? - ?Harvesters? - ?Rotation? - ?Torsional stress
Uncontrolled terms: Coefficients of variations? - ?Combine harvesters? - ?Cooperation relationships? - ?Design and tests? - ?Field performance? - ?Pneumatic Cylinders? - ?Research and development? - ?Transverse shrinkage
Classification code: 813.2 Coating Materials? - ?821.1 Agricultural Machinery and Equipment? - ?821.4 Agricultural Products? - ?931.1 Mechanics
Numerical data indexing: Percentage 1.22e+01%, Percentage 4.70e+00%, Percentage 5.00e+01%, Percentage 5.14e+01%, Percentage 7.70e+00%, Size 2.50e-01m, Size 2.50e-05m
DOI: 10.6041/j.issn.1000-1298.2020.08.012
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
40. Design and Experiment of Hitting Pine Cone Picking Robot
Accession number: 20203709159323
Title of translation:
Authors: Wang, Keqi (1); Zhang, Weihao (1); Luo, Ze (1); Zhang, Yizhuo (1)
Author affiliation: (1) School of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin; 150040, China
Corresponding author: Zhang, Yizhuo(nefuzyz@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 26-33
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to settle the security issue in the process of artificial pine cone picking, a hitting pine cone picking robot was designed, which mainly included motor drive module, control module, vision module, clamping module and picking module. The system performed the pine cone identification and location through the vision module, transmitted the result back to the control module, and then controlled the motor drive module to cooperate with the clamping module and the picking module to complete the pine cone picking. Based on the kinematics model, the diameter of the working space of mechanical arm was calculated by Matlab software to be 4.5 m. A collision dynamics model based on Lagrange equation and pulse principle was used to solve the torque required to maintain the original law of motion during the collision. The optimized mechanical safety factor was at least 1.577 1 and the total deformation was 4.148 4 mm by the ANSYS Workbench software. Simulation results showed that the structure can satisfy the design requirements in terms of kinematics, dynamics and statics. The pine cone picking test was performed in the laboratory environment, and the size of the constructed prototype was 1 000 mm×1 200 mm×1 100 mm. The experimental results verified the rationality and practicability of the structure design of the robot, and its design and analysis provided guidance and theoretical basis for the development of the pine cone picking robot in the future. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Visual servoing
Controlled terms: Electric drives? - ?Electric motors? - ?Equations of motion? - ?Kinematics? - ?Machine design? - ?MATLAB? - ?Robots? - ?Safety factor
Uncontrolled terms: Ansys workbenches? - ?Collision dynamics models? - ?Design and analysis? - ?Kinematics modeling? - ?Laboratory environment? - ?Lagrange equation? - ?Matlab- software? - ?Mechanical safety
Classification code: 601 Mechanical Design? - ?705.3 Electric Motors? - ?731.5 Robotics? - ?914.1 Accidents and Accident Prevention? - ?921 Mathematics? - ?921.2 Calculus? - ?931.1 Mechanics
Numerical data indexing: Size 4.50e+00m
DOI: 10.6041/j.issn.1000-1298.2020.08.003
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
41. Development and Analysis of Plant Protection UAV Flight Control System and Route Planning Research
Accession number: 20203709159397
Title of translation:
Authors: Cao, Guangqiao (1); Li, Yibai (1); Nan, Feng (1); Liu, Dong (1); Chen, Cong (1); Zhang, Jinlong (1)
Author affiliation: (1) Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing; 210014, China
Corresponding author: Chen, Cong(chenchong520206@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 1-16
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Plant protection UAV operation has the advantages of safety and efficiency, saving medicine and water volume, strong adaptability, good prevention and control effects, using UAVs to carry out plant protection operations is an important way to effectively prevent pests and diseases. Compared the research on the development and related applications industry, the factors that affected the operation effect and efficiency of the plant protection UAVs were analyzed. Flight control system, single UAV route planning, multi-machine operation scheduling scenarios and optimization methods that affected the efficiency and effect of plant protection UAV were described respectively. With the aim of improving the operation effect and operation efficiency of plant protection drones, the status of plant protection UAVs’ flight control, route planning and scheduling were analyzed. In view of the high accuracy requirements of plant protection UAVs, which led to the contradiction of high manufacturing costs of their flight control systems, the low-cost and high-precision attitude measurement devices were developed which can meet the needs of plant protection UAV operations, and corresponding attitude estimation algorithms were developed. For the situation that the plant protection UAVs route planning, optimal scheduling model did not match the actual operation requirements, the optimization scenarios, constraints and optimization methods of single UAV route planning and multi-machine scheduling were summarized. Finally, an automatic replenishment platform for plant protection UAVs was developed, an optimized model for job management and scheduling model were built based on multi-machine collaboration, and the reliability of plant protection UAVs in complex operation environments was improved. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 128
Main heading: Flight control systems
Controlled terms: Aircraft control? - ?Constrained optimization? - ?Disease control? - ?Efficiency? - ?Manufacture? - ?Scheduling? - ?Unmanned aerial vehicles (UAV)
Uncontrolled terms: Attitude estimation? - ?Attitude measurement? - ?Manufacturing cost? - ?Multi machine scheduling? - ?Operation efficiencies? - ?Optimization method? - ?Prevention and controls? - ?Safety and efficiencies
Classification code: 652 Aircraft and Avionics? - ?912.2 Management? - ?913.1 Production Engineering? - ?913.4 Manufacturing? - ?961 Systems Science
DOI: 10.6041/j.issn.1000-1298.2020.08.001
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
42. Effect of Magnetization Intensity on Characteristics of Soil Water and Salt Transport in Magnetization-de-electronic Activation Water
Accession number: 20203709159337
Title of translation:
Authors: Wang, Quanjiu (1, 2); Li, Zongyu (1); Zhang, Jihong (1); Xie, Jiangbo (1); Wei, Kai (1); Sun, Yan (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, 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: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 278-284
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Activation technologies such as magnetization and de-electronation can significantly improve the salt leaching efficiency of irrigation water. In order to clarify the influence mechanism of magnetization intensity on the soil water and salt transport of magnetization-de-electronic activation water, the effect of magnetization intensity on the soil water and salt transport of magnetization-de-electronic activation water was studied by a one-dimensional vertical soil column infiltration test, which was carried out at different magnetization intensities (0, 0.1 T, 0.2 T, 0.4 T and 0.8 T) magnetization-de-electronic activation water. The results showed that the magnetization-de-electronic activation water infiltration could improve the soil water infiltration capacity and salt leaching efficiency, and it was closely related to the magnetization intensity, the soil water infiltration capacity and salt leaching efficiency showed a quadratic function relationship which was increased first and then decreased with the increase of magnetization intensity. Meanwhile, the moisture absorption rate S and the magnetization intensity H also showed a good quadratic function relationship. Through the analysis of test data and the infiltration model parameters, it was found that when the magnetization intensity was about 0.4 T, the cumulative infiltration corresponding to the magnetization-de-electronic activation water infiltration was the largest, the infiltration time was the shortest, the soil water content was the largest, the salt content was the smallest, and the desalination effect was the best. Therefore, 0.4 T can be used as the optimal magnetization intensity of magnetization-de-electronic activation water. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 29
Main heading: Infiltration
Controlled terms: Activation analysis? - ?Chemical activation? - ?Desalination? - ?Efficiency? - ?Irrigation? - ?Leaching? - ?Magnetization? - ?Soil moisture? - ?Soil testing
Uncontrolled terms: Cumulative infiltrations? - ?Electronic activation? - ?Infiltration modeling? - ?Influence mechanism? - ?Magnetization intensities? - ?Moisture absorption rates? - ?Quadratic function? - ?Soil water content
Classification code: 445.1 Water Treatment Techniques? - ?483.1 Soils and Soil Mechanics? - ?701.2 Magnetism: Basic Concepts and Phenomena? - ?802.3 Chemical Operations? - ?804 Chemical Products Generally? - ?821.3 Agricultural Methods? - ?913.1 Production Engineering
Numerical data indexing: Magnetic_Flux_Density 1.00e-01T, Magnetic_Flux_Density 2.00e-01T, Magnetic_Flux_Density 4.00e-01T, Magnetic_Flux_Density 8.00e-01T
DOI: 10.6041/j.issn.1000-1298.2020.08.030
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
43. Optimization of Evaluation and Prediction Model of Environmental Comfort in Lactating Sow House
Accession number: 20203709159319
Title of translation:
Authors: Chen, Chong (1, 2); Liu, Xingqiao (1); Liu, Chaoji (1); Chang, Runmin (1)
Author affiliation: (1) School of Electrical and Information Engineering, Jiangsu University, Zhenjiang; 212013, China; (2) School of Electrical Engineering, Yancheng Institute of Technology, Yancheng; 224051, China
Corresponding author: Liu, Xingqiao(xqliu@ujs.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 311-319
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: As the sow building environment is a complex, nonlinear and time-varying system, consisting of multiple coupling factors, it is difficult to predict the environment comfort reasonably. Therefore, a prediction model was built to determine the variation trend of environment comfortable degree. The assessment index system was constructed, and the parameter optimization of the least squares support vector regression (LSSVR) with mixed kernels was presented based on mutative scale chaos cuckoo search (MSCCS) algorithm to find optimal parameters γ and σ. The model was exploited to predict the sow house environmental comfort. Three models of particle swarm optimization (PSO-LSSVR), genetic algorithm (GA-LSSVR) and traditional LSSVR were compared with the proposed prediction model. The experimental results showed that MSCCS-LSSVR had a higher accuracy and more reliable performance than the other three models, the mean absolute error (MAE) were 0.061 1, 0.097 2, 0.130 6 and 0.168 1, respectively. To facilitate the use of prediction model for farmers, a comfort assessment and prediction system graphical user interface (GUI) based on Matlab was developed. Farmers could download the historical data from a webserver and then exploit them as training and testing data, the assessment and prediction results at different time calculated and displayed on the GUI. A prediction model was exploited in Zhenjiang, Jiangsu Province, China, and it performed well. It can reflect the air quality reasonably and also provide decision support for precise regulation of a swine house environment. It can help farmers decrease the risk of livestock breeding. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 27
Main heading: Predictive analytics
Controlled terms: Agriculture? - ?Air quality? - ?Decision support systems? - ?Forecasting? - ?Genetic algorithms? - ?Graphical user interfaces? - ?Houses? - ?Particle swarm optimization (PSO)? - ?Support vector regression? - ?Time varying systems
Uncontrolled terms: Assessment index system? - ?Environmental comfort? - ?Evaluation and predictions? - ?Graphical user interfaces (GUI)? - ?Least squares support vector regression? - ?Parameter optimization? - ?Reliable performance? - ?Training and testing
Classification code: 402.3 Residences? - ?451.2 Air Pollution Control? - ?722.2 Computer Peripheral Equipment? - ?723 Computer Software, Data Handling and Applications? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?961 Systems Science
DOI: 10.6041/j.issn.1000-1298.2020.08.034
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
44. Modeling of Rice Supply Chain Traceability Information Protection Based on Block Chain
Accession number: 20203709159478
Title of translation:
Authors: Yu, Helong (1, 2); Chen, Bangyue (1); Xu, Daming (3, 4); Yang, Xinting (3, 4); Sun, Chuanheng (3, 4)
Author affiliation: (1) College of Information Technology, Jilin Agricultural University, Changchun; 130118, China; (2) Jilin Precision Agriculture and Big Data Engineering Research Center, Changchun; 130118, China; (3) National Engineering Research Center for Information Technology in Agriculture, Beijing; 100097, China; (4) National Engineering Laboratory for Quality and Safety Tracebility Technology and Application of Agricultural Products, Beijing; 100097, China
Corresponding author: Sun, Chuanheng(sunch@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: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 328-335
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming to address the issue of rice supply chain’s susceptibility to private data leakage in data sharing during the use of block chain technology for traceability, the block chain technology’s distributed shared global ledger and non-tampering features were utilized, the block chain-based modeling and system implementation of rice supply chain traceability information protection was studied. Firstly, the supply chain traceability privacy data was symmetrically encrypted by using the ciper block chaining (CBC) model before it was uploaded to the block chain network, while the key was encrypted by using elliptic curve cryptography (ECC) and written to the block chain network, the block chain network stored the encrypted ciphertext of the privacy data and authorized the node to view the block chain traceable privacy data using its own private key to achieve the sharing of privacy data in the block chain network. On this basis, the security performance of the method was analyzed and the cipher diffusion of the encryption algorithm reached 0.838. Finally, the whole supply chain information traceability system of rice was designed and implemented based on the Hyperledger Fabric platform, and validated and analyzed through specific application cases. The results showed that the nodal authorization method proposed differentiated between nodes for the privacy data that needed to be protected, striking a balance between the need for encryption protection of privacy data and the need for public regulation of supply chain traceability data, the problem of data sharing between multiple nodes of rice supply chain production, processing and circulation was solved, which provided reference for the research on the traceability of rice supply chain. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Data Sharing
Controlled terms: Blockchain? - ?Data privacy? - ?Public key cryptography? - ?Supply chains
Uncontrolled terms: Block chaining? - ?Elliptic Curve Cryptography(ECC)? - ?Encryption algorithms? - ?Encryption protection? - ?Security performance? - ?System implementation? - ?Traceability information? - ?Traceability systems
Classification code: 912 Industrial Engineering and Management? - ?913 Production Planning and Control; Manufacturing
DOI: 10.6041/j.issn.1000-1298.2020.08.036
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
45. Crop Pests and Diseases Recognition Method Based on Multi-level EESP Model
Accession number: 20203709159350
Title of translation: EESP
Authors: Song, Yuqing (1); Xie, Xi (1); Liu, Zhe (1); Zou, Xiaobo (2)
Author affiliation: (1) School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang; 212013, China; (2) School of Food and Biological Engineering, Jiangsu University, Zhenjiang; 212013, China
Corresponding author: Liu, Zhe(lzhe@ujs.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 196-202
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: With the rapid development of Internet of Things and artificial intelligence, the detection and treatment of crop diseases are gradually developing towards intelligence. Using computer vision methods to identify crop diseases accurately and efficiently was of great significance to ensure the normal growth of crops. In order to extract the high-level semantic features of images and solve the problem of different image sizes of various plant diseases and insect pests, a multi-level extremely efficient spatial pyramid (EESP) model based on deep learning was proposed. Firstly, the image was preprocessed, and then the proposed model was constructed. In order to extract characteristic information of different scales, the cavity ratio was different in each layer. By integrating the information of each layer, different characteristics of various crop pest images were obtained. Finally, crop pests and diseases were identified through image classification method. The data set included 61 pests and disease categories of 10 crops. After 300 epochs training, the experiments showed that the Top1 accuracy of the proposed model reached 88.4%, which was effectively improved by about 3 percentage points compared with that of traditional methods, and it was found that using the three-layer EESP model can obtain the best effect. It had certain practical value and can be applied in actual scenarios. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 24
Main heading: Crops
Controlled terms: Deep learning? - ?Semantics
Uncontrolled terms: Classification methods? - ?High-level semantic features? - ?Model-based OPC? - ?Normal growth? - ?Percentage points? - ?Plant diseases and insect pests? - ?Recognition methods? - ?Spatial pyramids
Classification code: 821.4 Agricultural Products
Numerical data indexing: Percentage 8.84e+01%
DOI: 10.6041/j.issn.1000-1298.2020.08.022
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
46. Optimal Design and Experiment of Vertically Transplanting Mechanism with Non-circular Gears System for Garlic (Allium Sativum L.)
Accession number: 20203709159358
Title of translation:
Authors: Sun, Wei (1); Feng, Jiang (2); Jiang, Yiyuan (1)
Author affiliation: (1) College of Engineering, Northeast Agricultural University, Harbin; 150030, China; (2) College of Electrical and Information, Northeast Agricultural University, Harbin; 150030, China
Corresponding author: Jiang, Yiyuan
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 73-82
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The agronomic planting technique of garlic with its bulbil facing upward accords with the growth characteristics and it can achieve a significant effect of increasing yield. The garlic planting machinery on the market is generally difficult to meet the agronomic needs of vertically planting. Based on the achievements in transplanting machinery and using a non-circular gear rotary transplanting mechanism as the core-working component, a vertically transplanting mechanism for garlic based on agronomic requirements was developed. Firstly, the mathematical model of the transplanting mechanism was established by the D-H transformation method, which was commonly used in robotics. With the analysis of the trajectory and posture of artificially planting garlic, a total number of twelve optimization goals required by the transplanting mechanism were determined. Since the optimization goals had characteristics of fuzzy, non-linear and strong coupling, the parameter-guided heuristic optimization method was used in the optimization process, and the GUI human-computer interaction optimization software was written under the Matlab software platform. After optimization, a set of design parameters meeting the requirements of the goals were calculated. Referring to the obtained optimizing design data, the contour shape of the non-circular gears were generated in KissSoft software. The top-down design method was used to parametrically design the transplanting mechanism by CATIA software, and simulation verification of the transplanting mechanism was carried out by using ADAMS software. Finally, an experimental bench for the garlic vertically transplanting mechanism was designed, and the multi-factor combination experiment was carried out with the transplanting depth, the rotation speed of the mechanism, and the matching speed ratio as the experimental factors. The quadratic regression orthogonal rotation combination design method was used to arrange the experiment, and the regression equation of the influence of each experiment factor on the bulbil angle of garlic after planting was obtained. The results showed that when the transplanting depth was 17 mm, the transplanting speed was 29.6 r/min, and the matching speed ratio was 100%, the average vertical angle of garlic bulbil would be 8.54°. When the transplanting speed was increased, the verification result was also in the desired range of agronomic requirements. The research results can provide a reference for the development of new garlic planting machinery and other transplanting mechanisms with complicated trajectory. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 23
Main heading: Design
Controlled terms: Agronomy? - ?Heuristic methods? - ?Human computer interaction? - ?Mathematical transformations? - ?MATLAB? - ?Mechanisms? - ?Optimization? - ?Speed? - ?Verification
Uncontrolled terms: Growth characteristic? - ?Heuristic optimization method? - ?Optimization software? - ?Orthogonal rotation combination designs? - ?Rotary transplanting mechanisms? - ?Simulation verification? - ?Transplanting mechanisms? - ?Verification results
Classification code: 601.3 Mechanisms? - ?721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory? - ?821.3 Agricultural Methods? - ?921 Mathematics
Numerical data indexing: Percentage 1.00e+02%, Rotational_Speed 2.96e+01RPM, Size 1.70e-02m
DOI: 10.6041/j.issn.1000-1298.2020.08.008
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
47. Apple Detection Method Based on Light-YOLOv3 Convolutional Neural Network
Accession number: 20203709159465
Title of translation: YOLOv3
Authors: Wu, Xing (1); Qi, Zeyu (1); Wang, Longjun (1); Yang, Junjie (1); Xia, Xue (2)
Author affiliation: (1) College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing; 210016, China; (2) Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing; 100081, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 17-25
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: An apple detection method (Light-YOLOv3) based on lightweight YOLO (You only look once) convolutional neural network was proposed for apple picking robots to detect apples quickly and accurately in the complex background of fruit trees. Firstly, in order to improve the traditional YOLOv3 deep convolutional neural network architecture, a feature extraction network structure containing cascaded homogeneous residual blocks was designed, and the dimensionality of the feature map for object detection was simplified. In this architecture, the conventional convolution was replaced by the depth wise separable convolution, and a multi-objective loss function was defined in terms of the mean square error loss and the cross entropy loss. Secondly, the training data was obtained from the Internet by means of a crawler program, and then labelled. The data augmentation technique was used to expand the training data and normalize it. Thirdly, a multi-stage learning optimization approach based on stochastic gradient descent (SGD) and adaptive moment estimation (Adam) was proposed to train Light-YOLOv3 network. Finally, an apple detection experiment in the complex background of fruit trees was performed on a computer workstation and an embedded processor, respectively. The experimental results showed that the apple detection method based on Light-YOLOv3 network improved the detection speed and accuracy significantly, i.e., the detection speed on the computer workstation and the embedded processor can reach 116.96 f/s, 7.59 f/s, F1 value can reach 94.57%, and the mean average precision (mAP) can reach 94.69%. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 21
Main heading: Convolutional neural networks
Controlled terms: Complex networks? - ?Computer workstations? - ?Convolution? - ?Deep neural networks? - ?Feature extraction? - ?Forestry? - ?Fruits? - ?Gradient methods? - ?Mean square error? - ?Network architecture ? - ?Object detection? - ?Orchards? - ?Stochastic systems
Uncontrolled terms: Complex background? - ?Data augmentation? - ?Detection experiments? - ?Detection methods? - ?Embedded processors? - ?Learning optimizations? - ?Network structures? - ?Stochastic gradient descent
Classification code: 716.1 Information Theory and Signal Processing? - ?722 Computer Systems and Equipment? - ?723.2 Data Processing and Image Processing? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?921.6 Numerical Methods? - ?922.2 Mathematical Statistics? - ?961 Systems Science
Numerical data indexing: Percentage 9.46e+01%, Percentage 9.47e+01%
DOI: 10.6041/j.issn.1000-1298.2020.08.002
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
48. Extraction Method for Centerlines of Rice Seedings Based on YOLOv3 Target Detection
Accession number: 20203709159340
Title of translation: YOLOv3
Authors: Zhang, Qin (1); Wang, Jiahui (1); Li, Bin (2)
Author affiliation: (1) School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou; 510641, China; (2) School of Automation Science and Engineering, South China University of Technology, Guangzhou; 510641, China
Corresponding author: Li, Bin(binlee@scut.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 51
Issue: 8
Issue date: August 25, 2020
Publication year: 2020
Pages: 34-43
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to extract the centerlines of rice seedlings, a new method based on YOLOv3 target detection algorithm was presented, which can extract centerlines of different growth stages of rice seedlings in complex paddy field so as to provide guide lines for autonomous navigation of robot. Firstly, an industrial camera which was 1 m high above the ground with pitch angles of 45° to 60° was used to capture image of rice seedlings, and then the region of interest (ROI) of the crop image was determined in order to find the instructive guide lines. Because of the perspective projection, the rice seedlings rows were labeled in segments. Then, the ROI images dataset was built to train YOLOv3 model. After that, the best YOLOv3 model was used to detect the rice seedling in the ROI and output bounding boxes. Secondly, the bounding boxes of the same rice seedlings row was clustered. Thirdly, image segmentation was applied and the smallest univalue segment assimilating nucleus (SUSAN) feature points was extracted within the bounding box of the same cluster. Finally, the least square method was applied in the algorithm to extract the centerlines of rice seedling. For complex paddy field environment such as windy weather, dark light, rice seedlings shadow and light reflection on water surface, as well as the impacts like duckweed and cyanobacteria, the proposed algorithm successfully and accurately extracted the centerlines of rice seedlings. For 200 test images, the mean average precision of trained network reached 91.47%, the mean average angle errors of the extracted centerlines was 0.97° and the average runtime of one image (resolution: 640 pixels×480 pixels) was 82.6 ms. Compared with another method for centerlines extracting, this algorithm had higher robustness, higher accuracy and faster runtime. The result showed that the method was real time and had application values. ? 2020, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 32
Main heading: Image segmentation
Controlled terms: Complex networks? - ?Least squares approximations? - ?Light reflection? - ?Pixels? - ?Robots
Uncontrolled terms: Autonomous navigation? - ?Different growth stages? - ?Extraction method? - ?Least square methods? - ?Perspective projections? - ?Smallest univalue segment assimilating nucleus? - ?Target detection algorithm? - ?The region of interest (ROI)
Classification code: 722 Computer Systems and Equipment? - ?731.5 Robotics? - ?741.1 Light/Optics? - ?921.6 Numerical Methods
Numerical data indexing: Percentage 9.15e+01%, Size 1.00e+00m, Time 8.26e-02s
DOI: 10.6041/j.issn.1000-1298.2020.08.004
Compendex references: YES
Database: Compendex
Compilation and indexing terms, Copyright 2020 Elsevier Inc.
Data Provider: Engineering Village
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