2021年第12期共收錄46篇
1. Research Progress and Prospect of Green Ecological Space Network
Accession number: 20220211449000
Title of translation:
Authors: Yu, Qiang (1); Zhang, Qibin (2); Niu, Teng (1); Wang, Ge (1); Ma, Jun (1); Yang, Linzhe (1)
Author affiliation: (1) College of Forestry, Beijing Forestry University, Beijing; 100083, China; (2) School of Earth Science and Engineering, Hebei University of Engineering, Handan; 056038, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 1-15
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Green ecological space network is an important research content of landscape ecology and an important bridge coupling landscape pattern, ecological process and ecological function. It is of great significance for improving landscape connectivity, protecting species diversity, and promoting the integrity of ecosystem structure and function. This paper combs the research context of the green ecological space network, discusses the concept and characteristics of the green ecological space network, related theories and research methods, and elaborates the related concepts and development process of the green ecological space network. It is in the process of construction, analysis and optimization. The common methods and main characteristics of the green space network, as well as the relevant theories in the research of the green space network, enumerate the main application areas of the green ecological space network, such as urban, hydrology, wind and sand fixation, soil and water conservation, etc., and the basic changes and research methods of the green ecological network, scale research and integration with other spatial networks and other aspects. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 138
Main heading: Complex networks
Controlled terms: Ecology? - ?Soil conservation? - ?Water conservation
Uncontrolled terms: Analyse and optimization? - ?Complex network theory? - ?Conceptual characteristic? - ?Green ecological space network? - ?Green spaces? - ?Landscape ecology? - ?Landscape pattern? - ?Optimisations? - ?Research method? - ?Space network
Classification code: 444 Water Resources? - ?454.3 Ecology and Ecosystems? - ?483.1 Soils and Soil Mechanics? - ?722 Computer Systems and Equipment
DOI: 10.6041/j.issn.1000-1298.2021.12.001
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
2. Optimization Design of 3-DOFs Translational Cable-driven Rigid-flexible Hybrid Parallel Mechanism and Its Dynamics Analysis
Accession number: 20220211447900
Title of translation:
Authors: Zhu, Wei (1); Shi, Kuanxiang (1); Wang, Ye (1); Shen, Huiping (1); Duan, Enye (1)
Author affiliation: (1) College of Mechanical Engineering, Changzhou University, Changzhou; 213164, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 417-425
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: A type of three DOFs cable-driven parallel mechanism was proposed, it contained three sets of cables, the same set of parallel and different sets of cross-structured cable branch chains and a set of passive elastic branch chains, which had the characteristics of light weight, high acceleration and large working space. Firstly, based on the closed vector method, the motion analysis of the mechanism was carried out to get the effect of spring branch chain on its working space. Secondly, the balance equation of the mechanism was derived based on the D’Alembert principle, and the relationship between the structural parameters of the intermediate elastic branch chain and the cable driving force was established by using the boundary search method and the controlled variable method to ensure that the mechanism met high acceleration and task working space. Taking the driving force of the rope as the optimization goal to optimize the structural parameters of the elastic branch chain, and determine the reasonable spring coefficient and initial length. Then, Lagrangian method was used to establish the dynamic equation of the mechanism, through the joint Matlab numerical calculation and ADAMS simulation to verify the correctness of the dynamic equation. Finally, the experimental sample was made based on the optimization results, and the institutional motion equation was verified by the experiment. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 21
Main heading: Cables
Controlled terms: Dynamics? - ?Equations of motion? - ?Lagrange multipliers? - ?MATLAB? - ?Mechanisms? - ?Numerical methods? - ?Vector spaces
Uncontrolled terms: Cable-driven? - ?Cable-driven parallel mechanisms? - ?Driving forces? - ?Dynamics equation? - ?Dynamics models? - ?High acceleration? - ?Optimization design? - ?Parameter optimization? - ?Structural parameter? - ?Working space
Classification code: 601.3 Mechanisms? - ?723.5 Computer Applications? - ?921 Mathematics? - ?921.2 Calculus? - ?921.6 Numerical Methods
DOI: 10.6041/j.issn.1000-1298.2021.12.044
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
3. Segmentation of Crop Plant Seedlings Based on Regional Semantic and Edge Information Fusion
Accession number: 20220211448983
Title of translation:
Authors: Liao, Juan (1, 2); Chen, Minhui (1); Zhang, Kai (1); Zou, Yu (3); Zhang, Shun (1); Zhu, Dequan (1, 2)
Author affiliation: (1) School of Engineering, Anhui Agricultural University, Hefei; 230036, China; (2) Institute of Intelligent Agriculture, Anhui Agricultural University, Hefei; 230036, China; (3) Rice Research Institute, Anhui Academy of Agricultural Sciences, Hefei; 230031, China
Corresponding authors: Zhu, Dequan(zhudequan@ahau.edu.cn); Zhu, Dequan(zhudequan@ahau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 171-181
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: To segment crop plant seedlings accurately in natural environment, a segmentation network model based on regional semantic and edge information was presented. Firstly, the U-Net network was used as the backbone network, and the side depth supervision mechanism was used to guide the backbone network to perceive the plant edge information when extracting features. Then, based on atrous spatial pyramid pooling, the feature fusion module was built to fuse the semantic information in the backbone network and the edge information extracted by the edge perception module. The fused feature map would have enough detail information and strong semantic information. Besides, combined with the loss of edge perception and the loss of feature fusion, the joint loss function was defined for the overall network optimization. The experimental results showed that the proposed model can achieve the pixel accuracy of 0.962 and the mean intersection over union of 0.932. Compared with the U-Net, SegNet, PSPNet and DeepLabV3 models, the mean intersection over union of the used model was about 0.07 higher. Therefore, the proposed model can achieve good segmentation effect and generalization ability for crop plant seedlings in natural environment, which can provide important basis for plant location, target spraying, growth recognition and other applications. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Crops
Controlled terms: Seed? - ?Semantic Web? - ?Semantics
Uncontrolled terms: Edge perception module? - ?Feature fusion module? - ?Features fusions? - ?Fusion modules? - ?Net networks? - ?Plant seedling? - ?Regional semantic information? - ?Segmentation? - ?Semantics Information? - ?U-net network
Classification code: 723 Computer Software, Data Handling and Applications? - ?821.4 Agricultural Products? - ?903 Information Science
DOI: 10.6041/j.issn.1000-1298.2021.12.018
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
4. Optimization and Evaluation of Multi-objective Planting Structure in Hetao Irrigation District Based on Water Footprint
Accession number: 20220211448744
Title of translation:
Authors: Guo, Ping (1); Zhao, Min (1); Zhang, Yan (1); Zhang, Xiaoxing (1); Zhang, Fan (1)
Author affiliation: (1) College of Water Resources and Civil Engineering, China Agricultural University, Beijing; 100083, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 346-357
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Agricultural water shortage is serious and ecological environment becomes deteriorating continuously due to the reducing available Yellow River water resources and serious agricultural non-point source pollution in Hetao Irrigation District, Inner Mongolia. Based on these problems, the footprint concept was introduced into the multi-objective optimization model and multi-objectives decision evaluation model to allocate the limited water resources rationally. Taking Hetao Irrigation District as an example, the optimal planting structures of five main crops (wheat, corn, sunflowers, tomatoes and melons) were obtained considering the aspects of economy, society, resources and ecology. Meanwhile, multiple optimization schemes (multi-objective condition, single-objective condition and current condition) were evaluated and selected by integrating the FAHP model and TOPSIS model. Results showed that under the basic premise of food crop yield, reducing the planting area of wheat and corn, and increasing the cash crops (sunflowers, tomatoes and melons) were recommended. It can increase economic income, ensure social equity, improve irrigation water use efficiency and reduce the negative environmental effects simultaneously. Furthermore, the evaluation results showed that the multi-objective optimization scheme, taking into account the tradeoffs amongst economic, social, resources and environmental aspects, was better than both the single-objective condition and the current condition. The research result can provide theoretical decision support and promote sustainable development to Hetao Irrigation District and similar irrigation areas. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 38
Main heading: Multiobjective optimization
Controlled terms: Crops? - ?Decision making? - ?Decision support systems? - ?Economics? - ?Fruits? - ?Irrigation? - ?River pollution? - ?Structural optimization? - ?Sustainable development? - ?Water resources ? - ?Water supply
Uncontrolled terms: Condition? - ?Evaluation? - ?Hetao irrigation districts? - ?Multi objective? - ?Multi-objectives optimization? - ?Planting structure? - ?Plantings? - ?Single objective? - ?Water footprint? - ?Waters resources
Classification code: 444 Water Resources? - ?446.1 Water Supply Systems? - ?453 Water Pollution? - ?723 Computer Software, Data Handling and Applications? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?912.2 Management? - ?921.5 Optimization Techniques? - ?971 Social Sciences
DOI: 10.6041/j.issn.1000-1298.2021.12.036
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
5. Design and Test of Compact Series Elastic Force Actuator for Grasping Mechanism
Accession number: 20220211448186
Title of translation:
Authors: Hua, Hongliang (1, 2); Liao, Zhenqiang (2); Chen, Yongjiang (1); Xu, Cheng (2)
Author affiliation: (1) School of Aeronautics and Mechanical Engineering, Changzhou Institute of Technology, Changzhou; 213032, China; (2) School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing; 210094, China
Corresponding author: Liao, Zhenqiang(zqliao1013@126.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 426-432 and 442
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Series elastic actuators (SEA) have great potential in robotic non-destructive grasping field due to its excellent force control performance. To achieve miniaturizing of the SEA, a highly compact series elastic actuator integrating servo motor, elastic element and encoder was developed. Firstly, model identification experiment of the series elastic actuator was carried out to establish the control angle trajectory actuating force observation models. Then the PD controller was utilized to control the actuating force. Subsequently, loading tests based on the rigid and hyperelastic objects were performed to study the control response, accuracy and steady-state fluctuation error of the actuating force. Finally, grasping and human interaction experiments were performed to study the adaptive grasping performance and external force self-sensing ability of the series elastic actuator. Results revealed that the series elastic actuator had a fast response speed in interacting with the rigid objects. The corresponding settling time and overshoot were about 0.35 s and 0, respectively. Due to the nonlinear deformation characteristics of hyperelastic object, its loading response speed was smaller than that of the rigid one. Grasping experiments demonstrated that the SEA could achieve object grasping adaptively, and the grasping force and speed were adjustable. In addition, the SEA could realize self-perception of the grasping force without relying on fingertip force sensor, which was conducive to simplify the hardware and control system. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 29
Main heading: Force control
Controlled terms: Actuators? - ?Elasticity
Uncontrolled terms: Actuating forces? - ?Design and tests? - ?Elastic force? - ?Force actuators? - ?Grasping force? - ?Grasping mechanisms? - ?Hyper elastic? - ?Non destructive? - ?Response speed? - ?Series elastic actuators
Classification code: 731.3 Specific Variables Control? - ?732.1 Control Equipment
Numerical data indexing: Time 3.50E-01s
DOI: 10.6041/j.issn.1000-1298.2021.12.045
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
6. Structure Design and Disrupting Effect Detection of Short Jet Collision Nozzle
Accession number: 20220211449134
Title of translation:
Authors: Zhang, Shaoying (1); Wu, Xue (2); Liu, Bin (2); Guo, Hua (3)
Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) School of Artificial Intelligence, Beijing Technology and Business University, Beijing; 100048, China; (3) Langfang Tongyong Machinery Co., Ltd., Langfang; 065001, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 393-399
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: During the process of pulverizing tough and tensile material through high pressure jet method, inefficiency of energy applications is always a prominent problem. Cavitation involved in high pressure jet operation has not been properly planned, effectively controlled and efficiently used. Short jet collision nozzle which is considered as a new type nozzle in order to promote cavitation effect and enhance collision energy density was investigated. And hydrodynamic cavitation mechanism occurred in short jet collision nozzle was also discussed. The key structure parameter of this nozzle was configured according to the results of computational fluid dynamics simulation. The radial and annular grooves were symmetrically manufactured on the nozzle surface by laser corrosion. Then superfine pulverizing experiments based on short jet collision nozzle were presented. The degree of hydrodynamic cavitation and the superfine effect of microcrystalline cellulose was tested through ?OH level and scanning electron microscope. The experimental results showed that output rate of ?OH was increased by 41% and invalid kinetic energy was cut by 60%~80% compared with direct-hole nozzle. The micro fibril about 15 nm long can be separated from fiber bundle of microcrystalline cellulose. Impact energy produced by bubble collision in this new type nozzle was promoted obviously. So efficient pulverization can be reached through the application of the short jet collision nozzle which can be perfectly used for superfine pulverizing tough and tensile biomaterials. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Nozzles
Controlled terms: Cavitation? - ?Cellulose? - ?Computational fluid dynamics? - ?Corrosion? - ?Hydrodynamics? - ?Kinetic energy? - ?Kinetics? - ?Scanning electron microscopy
Uncontrolled terms: Cavitation effect? - ?Energy applications? - ?High pressure? - ?Hydrodynamic cavitations? - ?Jet operations? - ?Jet pulverization? - ?Micro-crystalline cellulose? - ?Short jet collision nozzle? - ?Structure design? - ?Superfine processing
Classification code: 631.1 Fluid Flow, General? - ?631.1.1 Liquid Dynamics? - ?723.5 Computer Applications? - ?811.3 Cellulose, Lignin and Derivatives? - ?815.1.1 Organic Polymers? - ?931 Classical Physics; Quantum Theory; Relativity? - ?931.1 Mechanics
Numerical data indexing: Percentage 4.10E+01%, Percentage 6.00E+01%, Percentage 8.00E+01%, Size 1.50E-08m
DOI: 10.6041/j.issn.1000-1298.2021.12.041
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
7. Semantic Modeling Based on Raw Oyster HACCP Program
Accession number: 20220211449009
Title of translation: HACCP
Authors: Zou, Yibo (1, 2); Li, Qingyu (1); Chen, Ming (1, 2); Ge, Yan (1, 2)
Author affiliation: (1) College of Information Technology, Shanghai Ocean University, Shanghai; 201306, China; (2) Key Laboratory of Fisheries Information, Ministry of Agriculture and Rural Affairs, Shanghai; 201306, China
Corresponding authors: Ge, Yan(yge@shou.edu.cn); Ge, Yan(yge@shou.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 290-299
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to improve the informatized management level of the quality and safety risks appear in aquatic product processing, taking the national standard hazard analysis and critical control point system (HACCP) of aquatic products and raw oyster HACCP plan as examples, a semantic basic model was proposed based on raw oyster HACCP plan(HACCP semantic base model, HSBM), which was used to extract, represent and reason knowledge. Firstly, the domain knowledge was obtained from HACCP plan, then the raw oyster HACCP semantic modeling framework was constructed. Under the guidance of this architecture, a knowledge representation model was constructed (knowledge representation model-HACCP, KRM-HACCP), ontology modeling method was used to model the HACCP semantics of raw oyster processing, and concept-relationship structure diagram of raw oyster HACCP was drawn. Then, the semantic Web rules language SWRL was used to describe business logic rules and improve the automatic reasoning ability of knowledge. Finally, the HermiT inference machine was used to realize knowledge reasoning. Experiments showed that the model had the ability to describe knowledge, share knowledge, realize semantic reasoning, discover knowledge, and apply knowledge. It was able to systematically and completely express raw oyster processing system, and enrich the ontology knowledge base of raw oyster, thus providing technical support for the digitalization, intelligent applications, natural language processing, case-based reasoning and other possible applications of HACCP plan. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 30
Main heading: Knowledge representation
Controlled terms: Case based reasoning? - ?Domain Knowledge? - ?Hazards? - ?Molluscs? - ?Natural language processing systems? - ?Ontology? - ?Quality control? - ?Risk assessment
Uncontrolled terms: Aquatic products? - ?Hazard analysis and critical control points? - ?Knowledge representation model? - ?Knowledge-representation? - ?Management level? - ?Model-based OPC? - ?Raw oyster? - ?Representation model? - ?Semantic modelling? - ?System semantics
Classification code: 471 Marine Science and Oceanography? - ?723.2 Data Processing and Image Processing? - ?723.4 Artificial Intelligence? - ?913.3 Quality Assurance and Control? - ?914.1 Accidents and Accident Prevention
DOI: 10.6041/j.issn.1000-1298.2021.12.031
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
8. Development and Experiment of Intra-row Weeding Robot System Based on Protection of Maize Root System
Accession number: 20220211449131
Title of translation:
Authors: Quan, Longzhe (1); Zhang, Jingyu (1); Jiang, Wei (1); Li, Hengda (1); Yang, Chunjie (1); Zhang, Xilin (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: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 115-123
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming at the risk of end effector damage to the maize root system during mechanical intra-row weeding, a novel intra-row weeding mode based on the protection of the maize root system was proposed and an intelligent robot system for weeding was designed. The robot system consisted of a robot mobile platform, a weeding device, a visual system and a control system. Among them, maize seedlings and weeds were detected by the visual system using advanced YOLO V4 network model; the weeding device was based on the three-dimensional movement of weeding shovels, so that the weeding shovel can complete two operation models, including under and on the ground to avoid maize seedlings. Field experiments showed that when the robot mobile platform advanced at 1.2 km/h, the detection rates of maize seedlings and weeds were 96.04% and 92.57%, respectively, and the weeding rate of the two weeding modes were higher than 81%. The average root damage rate under the mode that weeding shovels placed on the ground to avoid maize seedlings was 3.35%, which was 36.40 percentage points lower than that of the mode that weeding shovels were always placed under the ground to avoid maize seedlings. The results proved that the weeding robot system was stable, and the weeding shovel avoiding seedlings and weeding on the soil had better protection performance of the maize root system. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 31
Main heading: Drilling platforms
Controlled terms: Intelligent robots
Uncontrolled terms: Intra-row weeding? - ?Maize? - ?Maize seedlings? - ?Mobile platform? - ?Protection of root system? - ?Robot mobile platform? - ?Robots system? - ?Root system? - ?Targets detection? - ?Weeding shovel
Classification code: 511.2 Oil Field Equipment? - ?674.2 Marine Drilling Rigs and Platforms? - ?731.6 Robot Applications
Numerical data indexing: Percentage 3.35E+00%, Percentage 8.10E+01%, Percentage 9.257E+01%, Percentage 9.604E+01%, Size 1.20E+03m
DOI: 10.6041/j.issn.1000-1298.2021.12.012
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
9. Energy Efficiency of Electro-hydraulic Load Sensing Independent Metering Multi-mode Switching Control System
Accession number: 20220211449114
Title of translation:
Authors: Ding, Ruqi (1, 2); Jiang, Lai (1); Li, Gang (3); Mu, Xueshan (3); Li, Wangdu (1)
Author affiliation: (1) Key Laboratory of Conveyance and Equipment, Ministry of Education, East China Jiaotong University, Nanchang; 330013, China; (2) Jiangsu BADA Heavy Industry Technology Co., Ltd., Xuzhou; 221400, China; (3) Key Laboratory of Vehicle Intelligent Equipment and Control, East China Jiaotong University, Nanchang; 330013, China
Corresponding author: Li, Gang(ligang0794@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 433-442
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming at the problems of high energy consumption and low efficiency caused by the single working mode of the traditional electro-hydraulic control system, an independent metering multi-mode switching control system was proposed. The system was based on independent metering control. By changing the traditional hydraulic circuit connection method, it expanded a variety of energy-saving working modes for the system and a multi-mode switching controller was designed. The controller first switched the system to the energy-optimized working mode according to the load direction and speed direction, and then configured the best valve control strategy for the actuator inlet and outlet according to the working mode, and the pump control method adopted the electro-hydraulic load-sensing method to adapt the system pressure to the load pressure. To verify the energy-saving effects of the system in terms of outlet pressure loss and energy regeneration, the traditional electro-hydraulic load-sensing system was used as a comparison object, and experiments were carried out on a small excavator to evaluate the energy efficiency improvement. The experimental results proved that compared with the traditional electro-hydraulic load-sensing system, the independent metering multi-mode switching control method can effectively improve the energy efficiency of the system without reducing the motion tracking performance, and the energy-saving rate was 21.95%. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Energy efficiency
Controlled terms: Control systems? - ?Controllers? - ?Energy utilization? - ?Hydraulic actuators? - ?Hydraulic equipment? - ?Hydraulic machinery? - ?Switching
Uncontrolled terms: Electro-hydraulic control systems? - ?Electro-hydraulics? - ?Energy savings? - ?Energy regeneration? - ?Energy-savings? - ?Hydraulic load? - ?Independent metering control? - ?Mode-switching? - ?Multi-mode switching? - ?Multimodes
Classification code: 525.2 Energy Conservation? - ?525.3 Energy Utilization? - ?632.2 Hydraulic Equipment and Machinery? - ?731.1 Control Systems? - ?732.1 Control Equipment
Numerical data indexing: Percentage 2.195E+01%
DOI: 10.6041/j.issn.1000-1298.2021.12.046
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
10. Optimization Analysis and Test of Canopy Vibration Parameters of Camellia Fruit Based on Double Pendulum Model
Accession number: 20220211448982
Title of translation:
Authors: Wu, Delin (1); Zhao, Enlong (1); Jiang, Shan (1); Ding, Da (1); Liu, Yangyang (1); Liu, Lu (1)
Author affiliation: (1) School of Engineering, Anhui Agricultural University, Hefei; 230036, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 96-104
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Mechanized picking of camellia fruit mainly uses vibration. In order to study the effect of canopy vibration parameters on the picking of Camellia oleifera, a camellia “fruit-branch” double pendulum dynamic model was established, the natural frequencies of the system were 0.42 Hz and 7.18 Hz by solving the dynamic model. According to the force analysis of the fruit and flower buds of the camellia, the average acceleration of the fruit and flower bud shedding of the camellia was 427.15 m/s2 and 1 936 m/s2, respectively; ADAMS dynamic simulation software was used to simulate the vibration picking of camellia fruit canopy. The variance and response surface analysis of the test data were carried out by using Design-Expert 11.0.4 software, and the quadratic regression models of oil camellia fruit recovery and flower bud damage rate with vibration time, vibration frequency and amplitude were established. By calculating the contribution rate of test factors to test indexes and optimizing canopy vibration parameters, the optimal theoretical value was obtained as follows: vibration time of 8.09 s, vibration frequency of 8.15 Hz, amplitude of 50 mm, oil camellia fruit recovery rate was 93.41% and oil camellia flower bud damage rate was 14.10%, which were verified by field tests. Results showed that under the parameter combination of vibration time was 8 s, vibration frequency was 8 Hz and amplitude was 50 mm, the average value of XIANG-LIN 210 camellia fruit recovery rate and bud damage rate were 92.37% and 14.38%, the difference with the theoretical optimal value was 1.04 and 0.28 percentage points, respectively. The experimental results can provide theoretical basis for the design of camellia fruit picking equipment. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 28
Main heading: Fruits
Controlled terms: Dynamic models? - ?Pendulums? - ?Recovery? - ?Regression analysis? - ?Software testing? - ?Surface analysis? - ?Vibration analysis
Uncontrolled terms: Camellia oleifera fruits? - ?Damage rate? - ?Double pendulum? - ?Double pendulum model? - ?Flower buds? - ?Parameter optimization? - ?Pendulum model? - ?Vibration harvesting? - ?Vibration parameters? - ?Vibration time
Classification code: 723.5 Computer Applications? - ?821.4 Agricultural Products? - ?921 Mathematics? - ?922.2 Mathematical Statistics? - ?951 Materials Science
Numerical data indexing: Frequency 4.20E-01Hz, Frequency 7.18E+00Hz, Frequency 8.00E+00Hz, Frequency 8.15E+00Hz, Percentage 1.41E+01%, Percentage 1.438E+01%, Percentage 9.237E+01%, Percentage 9.341E+01%, Size 5.00E-02m, Time 8.00E+00s, Time 8.09E+00s, Velocity 4.2715E+02m/s, Velocity 9.36E+02m/s
DOI: 10.6041/j.issn.1000-1298.2021.12.010
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
11. Effect of Irrigation Amount, Nitrogen Application Rate and Planting Density on Cotton Leaf Area Index and Yield
Accession number: 20220211447923
Title of translation:
Authors: Wang, Quanjiu (1); Wang, Kang (1); Su, Lijun (1); Zhang, Jihong (1); Wei, Kai (1)
Author affiliation: (1) State Key Laboratory of Eco-hydraulics in Northweat Arid Regions of China, Xi’an University of Technology, Xi’an; 710048, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 300-312
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The effects of irrigation, fertilization, planting density and film-mulching were comprehensively analyzed in order to develop a universal Logistic model of cotton relative leaf area index based on the relative growing degree days as the independent variable. The relationship between the maximum leaf area index of cotton and irrigation amount, nitrogen application rate, planting density and yield during the whole growth period was studied. The results showed that the growing degree days of the maximum leaf area index of cotton with film-mulching was about 1 400, and growing degree days of the maximum leaf area index of cotton without film-mulching was about 1 600. The maximum leaf area index of cotton was increased first and then decreased with water consumption and nitrogen application, and there was a significant positive correlation between planting density and maximum leaf area index. The maximum leaf area index can be described accurately through considering the effects of irrigation amount, nitrogen application rate and planting density. When the maximum leaf area index was 4.93, the maximum seed cotton yield was 6 066.2 kg/hm2. The results of relative analysis showed that the change trend of relative leaf area index of cotton with and without film-mulching was nearly the same, and the corresponding model parameters were also the same. A unified Logistic model of relative leaf area index of cotton with and without film-mulching was established. The research result can provide a method for scientific planting and fine management of cotton, and also can provide a reference for modeling other crops in different management and different regions. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 97
Main heading: Irrigation
Controlled terms: Cotton? - ?Crops? - ?Cultivation? - ?Nitrogen
Uncontrolled terms: Crop growth model? - ?Fertilisation? - ?Film mulching? - ?Growing degree-days? - ?Irrigation amounts? - ?Leaf Area Index? - ?Maximum leaf area index? - ?Nitrogen application rates? - ?Planting density? - ?Relative leaf area index
Classification code: 804 Chemical Products Generally? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products
Numerical data indexing: Mass 6.62E+01kg
DOI: 10.6041/j.issn.1000-1298.2021.12.032
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
12. Adaptive Trajectory Tracking Control of 4WID High Clearance Unmanned Sprayer
Accession number: 20220211448136
Title of translation:
Authors: Jing, Liang (1); Zhang, Yafei (1); Shen, Yue (1); He, Siwei (1); Liu, Hui (1); Cui, Yemin (2)
Author affiliation: (1) School of Electrical and Information Engineering, Jiangsu University, Zhenjiang; 212013, China; (2) Nantong Guangyi Mechanical and Electrical Co., Ltd., Nantong; 226631, China
Corresponding author: Shen, Yue(shen@ujs.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 408-416
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming at the problem that track tracking accuracy of high clearance unmanned sprayer is reduced due to side slip during autonomous navigation, an adaptive control method based on four wheel independent drive (4WID) high clearance unmanned sprayer was proposed. Firstly, the kinematic model of 4WID high gap sprayer was established. Then, based on the kinematic geometric constraints and velocity constraints, two characterization parameters of side slip effect were introduced to construct the improved pose error model. Finally, combining parameter adaptation with backstepping control method, an adaptive control law was designed to estimate and compensate the unknown sideslip effect at the same time. Taking the typical U-shaped path of paddy field operation as an example, the simulation and experimental verification were carried out with and without sideslip respectively. The simulation results showed that the control algorithm can ensure high tracking accuracy when the sprayer was sideslip. The paddy field test showed that when the sprayer was operating at a normal speed of 3.6 km/h, it was compared with the trajectory tracking control algorithm without sideslip. The absolute value of the lateral mean error of the track tracking was reduced to 0.041 m and the standard error was reduced to 0.059 m, the longitudinal mean absolute error was reduced to 0.018 m and the standard error was reduced to 0.015 m, the average absolute error of heading was reduced to 2.56°and the standard error was reduced to 3.57°. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Adaptive control systems
Controlled terms: Backstepping? - ?Errors? - ?Kinematics? - ?Wheels
Uncontrolled terms: Adaptive Control? - ?Adaptive trajectory? - ?Four wheel independent drive? - ?High clearance unmanned sprayer? - ?Paddy fields? - ?Side-slip? - ?Standard errors? - ?Tracking accuracy? - ?Trajectory tracking control? - ?Trajectory-tracking
Classification code: 601.2 Machine Components? - ?731.1 Control Systems? - ?921 Mathematics? - ?931.1 Mechanics? - ?961 Systems Science
Numerical data indexing: Size 1.50E-02m, Size 1.80E-02m, Size 3.60E+03m, Size 4.10E-02m, Size 5.90E-02m
DOI: 10.6041/j.issn.1000-1298.2021.12.043
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
13. Named Entity Recognition of Diseases and Insect Pests Based on Multi Source Information Fusion
Accession number: 20220211449072
Title of translation:
Authors: Li, Lin (1); Zhou, Han (1); Guo, Xuchao (1); Liu, Chengqi (1); Su, Jie (1); Tang, Zhan (1)
Author affiliation: (1) College of Information and Electrical Engineering, China Agricultural University, Beijing; 100083, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 253-263
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Crop diseases and insect pest text mining is becoming increasingly important as the number of crop diseases and insect pest documents rapidly grows. The development of effective and highly accurate named entity recognition (NER) systems of crop diseases and insect pests can be beneficial to extract research results from related research reports and provide effective suggestions for the control of diseases and insect pests. Stop-wait algorithm based on semi-remote supervision was proposed to construct the corpus of Chinese crop diseases and insect pests to solve the problem of corpus missing. Moreover, an agricultural information extraction (Agr-IE) method was proposed. The method was based on BERT-BILSTM-CRF, and multi-source word segmentation information and global lexical embedding was used to enrich the information of character vector before character information integrated. Experiments performed by Agr-IE on the datasets of crop diseases and insect pests showed that the model can effectively distinguish four types of entities: the F1 score of diseases, pests, pharmaceuticals, and plant were 96.56%, 95.12%, 94.48% and 95.54%, respectively. And the model also performed well in identifying entities about pathogens (81.48% F1 score), which was higher than the corresponding values of BERT-BILSTM-CRF, BERT and other models. The recognition effect was higher than that of the compared models. In addition, the proposed model was compared with CAN-NER, Lattice-LSTM-CRF and other models on MSRA, Weibo datasets, and the best recognition results were obtained. The F1 scores were 95.80% and 94.57% respectively, which showed that the algorithm had good generalization ability and stability. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 27
Main heading: Natural language processing systems
Controlled terms: Computational linguistics? - ?Crops? - ?Disease control? - ?Long short-term memory
Uncontrolled terms: Agricultural natural language processing? - ?Chinese word segmentation? - ?Crop disease? - ?Crop disease and insect pest? - ?F1 scores? - ?Insects pests? - ?Multi-source information fusion? - ?Named entity recognition? - ?Stop-wait algorithm? - ?Text-mining
Classification code: 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory? - ?723.2 Data Processing and Image Processing? - ?821.4 Agricultural Products
Numerical data indexing: Percentage 8.148E+01%, Percentage 9.448E+01%, Percentage 9.457E+01%, Percentage 9.512E+01%, Percentage 9.554E+01%, Percentage 9.58E+01%, Percentage 9.656E+01%
DOI: 10.6041/j.issn.1000-1298.2021.12.027
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
14. Winter Wheat Biomass Estimation Based on Wavelet Energy Coefficient and Leaf Area Index
Accession number: 20220211448168
Title of translation:
Authors: Li, Changchun (1); Li, Yacong (1); Wang, Yilin (1); Ma, Chunyan (1); Chen, Weinan (1); Ding, Fan (1)
Author affiliation: (1) School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo; 454000, China
Corresponding author: Li, Yacong(1632540199@qq.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 191-200
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Biomass is an important indicator for evaluating crop growth and yield estimation. Obtaining biomass information scientifically, quickly and accurately is of great significance for monitoring the growth status of winter wheat and yield prediction. Taking winter wheat as the research object, through correlation analysis, the wavelet energy coefficient with good correlation was selected, and the leaf area index was coupled at the same time. Based on the support vector regression algorithm, random forest algorithm, and Gaussian process regression, three algorithms were used to construct a winter wheat biomass estimation model. The verification R2 of the four growth periods were 0.55, 0.40 and 0.39; 0.75, 0.70 and 0.83; 0.84, 0.92 and 0.93; 0.84, 0.89 and 0.85, respectively. It was showed that the estimation accuracy of Gaussian process regression model was the best. Leaf area index coupled with wavelet energy coefficients, using the three algorithms to estimate biomass, the verification R2 of the four growth periods were 0.76, 0.73 and 0.77; 0.76, 0.72 and 0.84; 0.87, 0.94 and 0.94; 0.85, 0.90 and 0.91, respectively, indicating that the Gaussian process regression algorithm had the best estimation accuracy, and to a certain extent, it can overcome the canopy spectrum saturation phenomenon and improve the estimation accuracy of the model. Using wavelet energy coefficient and leaf area index as input variables combined with Gaussian process regression algorithm to establish a winter wheat biomass estimation model, which can improve the accuracy of biomass estimation and provide a scientific reference for the rapid estimation of crop parameters based on remote sensing technology. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 32
Main heading: Biomass
Controlled terms: Crops? - ?Decision trees? - ?Gaussian distribution? - ?Gaussian noise (electronic)? - ?Regression analysis? - ?Remote sensing
Uncontrolled terms: Biomass estimation? - ?Crop growth and yields? - ?Estimation models? - ?Gaussian process regression? - ?Growth period? - ?Leaf Area Index? - ?Regression algorithms? - ?Wavelet energy coefficients? - ?Wheat biomass? - ?Winter wheat
Classification code: 821.4 Agricultural Products? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?922.1 Probability Theory? - ?922.2 Mathematical Statistics? - ?961 Systems Science
DOI: 10.6041/j.issn.1000-1298.2021.12.020
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
15. Relationship between Environmental Factors and Milk Yield of Dairy Cow House in Cold Region Based on Random Forest
Accession number: 20220211449136
Title of translation:
Authors: Ding, Tao (1); Jiang, Leisheng (1, 2); Shi, Zhengxiang (1, 3); Zhao, Yang (1, 2); Ma, Hui (4)
Author affiliation: (1) College of Water Resources and Civil Engineering, China Agricultural University, Beijing; 100083, China; (2) Beijing Engineering Research Center of Safety and Energy Saving Technology for Water Supply Network System, Beijing; 100083, China; (3) Key Laboratory of Agricultural Engineering in Structure and Environment, Ministry of Agriculture and Rural Affairs, Beijing; 100083, China; (4) Beijing Shounong Animal Husbondy Development 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: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 378-385
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Dairy cows in cold regions are in non-heat stress state for a long time. Aiming to understand the main environmental factors affecting milk yield, the relationship between temperature, humidity, wind speed, carbon dioxide concentration, ammonia concentration, light intensity and average daily milk yield of dairy cows was studied from the perspective of daily mean and percentile values based on continuous monitoring environmental data. Meanwhile, a random forest regression model based on environmental factors was established to predict milk yield. The results showed that light intensity and carbon dioxide concentration were two important environmental factors affecting milk yield, especially at low temperature. The average daily light intensity of 250 lx and the average daily carbon dioxide concentration of 8×10-4 could obviously classify high and low milk yield. The sample sites with high milk yield were also concentrated in the areas where the 90th percentile of light intensity was higher than 800 lx and the 10th percentile of carbon dioxide concentration was lower than 6×10-4. The mean determination coefficient and mean root mean square error used to evaluate the generalization ability of regression model were 0.731 6 and 1.037 0 kg, respectively. According to the results, it was suggested that during the non-heat stress period of dairy barns in cold areas, at least 2.5 h of light should be guaranteed for no less than 800 lx per day, and the time when carbon dioxide concentration was higher than 6×10-4 should be controlled for no more than 2.33 h. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 33
Main heading: Regression analysis
Controlled terms: Ammonia? - ?Carbon dioxide? - ?Dairies? - ?Decision trees? - ?Temperature? - ?Wind
Uncontrolled terms: Carbon dioxide concentrations? - ?Cold area? - ?Dairy cow? - ?Dairy cow house in cold area? - ?Environmental factors? - ?Heat stress? - ?Light intensity? - ?Milk yield? - ?Non-heat stress? - ?Random forests
Classification code: 443.1 Atmospheric Properties? - ?641.1 Thermodynamics? - ?804.2 Inorganic Compounds? - ?822.1 Food Products Plants and Equipment? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?922.2 Mathematical Statistics? - ?961 Systems Science
Numerical data indexing: Illuminance 2.50E+02lx, Illuminance 8.00E+02lx, Mass 0.00E00kg, Time 8.388E+03s, Time 9.00E+03s
DOI: 10.6041/j.issn.1000-1298.2021.12.039
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
16. Fast Terminal Sliding Mode Control for Autonomous Rice Seeding Machine Based on Disturbance Observer
Accession number: 20220211447957
Title of translation:
Authors: Wu, Tao (1); Li, Yanming (1); Lin, Hongzhen (1, 2); Gong, Liang (1); Liu, Chengliang (1, 2)
Author affiliation: (1) School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai; 200240, China; (2) State Key Laboratory of Mechanical System and Vibration, Shanghai; 200240, China
Corresponding author: Li, Yanming(ymli@sjtu.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 24-31
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Due to the existence of uncertainty disturbance, the accuracy of the established kinematics model of the autonomous rice seeding machine was not of highly accuracy, which would lead to problems such as slow convergence time and poor path tracking effect. Firstly, in order to improve the accuracy of the kinematics model and reduce the convergence time, the fast terminal sliding mode control algorithm was proposed based on the unmanned rice seeding machine. To realize the accurate observation of the unknown disturbance, the corresponding nonlinear disturbance observer was established according to the kinematics model, and the disturbance observed would be compensated to the controller. Next, the stability of the control system was proved according to Lyapunov criterion. Then, the kinematics simulation model of the agricultural machinery was built by Matlab/Simulink. The simulation results showed that the uncertain disturbance can be accurately observed by the disturbance observer. The control algorithm had better performance than sliding mode control algorithm without disturbance observer, which can effectively reduce the convergence time and almost had no chattering phenomenon. Finally, an experiment in a paddy field was carried out. When machine worked efficiently at the speed of 1.2 m/s, the absolute average lateral deviation was 0.024 7 m, and the mean square error was 0.031 1 m. The turning speed was also fast and there was no overshot phenomenon. The results showed that the path tracking effect of the algorithm proposed was of high performance and can satisfy the actual operation requirements well. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 32
Main heading: Mean square error
Controlled terms: Agricultural machinery? - ?Kinematics? - ?MATLAB? - ?Sliding mode control
Uncontrolled terms: Convergence time? - ?Disturbance observer? - ?Fast terminal sliding mode controls? - ?Kinematics models? - ?Path tracking? - ?Performance? - ?Sliding mode control algorithms? - ?Tracking effects? - ?Uncertainty disturbance? - ?Unmanned rice seeding machine
Classification code: 723.5 Computer Applications? - ?731.1 Control Systems? - ?821.1 Agricultural Machinery and Equipment? - ?921 Mathematics? - ?922.2 Mathematical Statistics? - ?931.1 Mechanics
Numerical data indexing: Size 1.00E00m, Size 7.00E+00m, Velocity 1.20E+00m/s
DOI: 10.6041/j.issn.1000-1298.2021.12.003
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
17. Design and Test of Resistance-reducing Excavation Device of Cyperus edulis Based on Discrete Element Method
Accession number: 20220211449169
Title of translation:
Authors: He, Xiaoning (1, 2); Zhang, Xuejun (1); Zhao, Zhuang (2); Shang, Shuqi (2); Wang, Dongwei (2); Yuan, Xiaowei (1)
Author affiliation: (1) College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi; 830052, China; (2) College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao; 266109, China
Corresponding author: Zhang, Xuejun(zhxjau@sina.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 124-133
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: At present, the mechanized harvesting method of Cyperus edulis is mainly forward rotary tillage excavation, but there are problems in the work process such as large working resistance, low soil fragmentation rate and high fruit burying rate. The discrete element model of the rotary tiller and the cedar agglomerates was analyzed and established, the discrete element simulation test of the excavation process was carried out combined with EDEM, and the structural parameters and value ranges that affected the rotary tiller’s working resistance and the torque of the tool shaft were determined. Design-Expert experiment optimization and regression analysis were carried out to determine the best structural parameters of the rotary tiller, which were as follows: bending angle of 130°, working width of 45 mm, compared with the normal rotary tillage method under the same parameter settings, the working resistance was reduced by 8.6%, the torque of the cutter shaft was reduced by 5.9%, which proved that the anti-rotating excavation had the effect of reducing resistance. In order to test the performance of the optimized rotary tiller, the fruit burying rate and the soil breaking rate were used as the test indicators to conduct a comparative test. The results showed that the reverse rotary operation method had a fruit burying rate of 1.07% and a soil broken rate of 93.48%, which were compared with the standard rotary cultivator. Compared with the new type rotary scalper, the burial rate of tubers of Cyperus edulis was reduced by 1.2 percentage points, and the soil broken rate was increased by 1.3 percentage points, which improved the harvesting efficiency of Cyperus edulis. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 28
Main heading: Fruits
Controlled terms: Cultivation? - ?Excavation? - ?Finite difference method? - ?Harvesters? - ?Harvesting? - ?Regression analysis? - ?Soils
Uncontrolled terms: Agglomerate? - ?Cyperus eduli harvester? - ?Design and tests? - ?Discrete elements method? - ?Harvesting methods? - ?Mechanized harvesting? - ?Percentage points? - ?Rotary tillages? - ?Rotary tiller? - ?Structural parameter
Classification code: 483.1 Soils and Soil Mechanics? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?921.6 Numerical Methods? - ?922.2 Mathematical Statistics
Numerical data indexing: Percentage 1.07E+00%, Percentage 5.90E+00%, Percentage 8.60E+00%, Percentage 9.348E+01%, Size 4.50E-02m
DOI: 10.6041/j.issn.1000-1298.2021.12.013
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
18. Detection of Pods and Stems in Soybean Based on IM-SSD+ACO Algorithm
Accession number: 20220211449071
Title of translation: IM-SSD+ACO
Authors: Ning, Shan (1, 2); Chen, Haitao (1); Zhao, Qiuduo (1, 2); Wang, Yecheng (1)
Author affiliation: (1) College of Engineering, Northeast Agricultural University, Harbin; 150030, China; (2) Center of Engineering Training and Basic Experiment, Heilongjiang University of Science and Technology, Harbin; 150022, China
Corresponding author: Chen, Haitao(htchen@neau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 182-190
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Soybean is an important crop in agriculture and plays an important role in the agricultural field of the world. With the increase of population and disasters caused by abnormal climate, how to cultivate more adaptive high-yield crop varieties has become a major problem faced by breeding experts. A soybean detection method was proposed based on deep learning to reduce the influence of illumination, growth difference and occlusion. In view of characteristics of soybean and accuracy of deep learning, single shot multibox detector (SSD) was improved. Compared with the SSD, the improved SSD (IM-SSD) had better anti-interference ability and self-learning ability. The first step was to build datasets by taking 3695 photos of harvested soybean plants under the fixed and defined light condition and blue background described. And the training set was randomly changed by images translation, rotation and scaling to expand the datasets. Then training datasets were used to train and construct network model. To study the effect of base network and the input size of networks, one contrast experiment was designed on SSD and IM-SSD. Through the analysis of the experimental results, the average accuracy of IM-SSD was 7.79 percentage points higher than that of SSD300 and 3.83 percentage points higher than that of SSD512, respectively. Compared with SSD, IM-SSD was improved in soybean pod and stem detection. Nevertheless, the location of the stem by IM-SSD was discontinuous. A method of stem extraction was proposed, which used IM-SSD results and ant colony optimization (ACO) algorithm to extract the whole stem. The experimental results showed that the IM-SSD and the stem extraction method could accurately locate pod and stem of soybean plants. Finally, some phenotypic information of soybean plants was obtained, including the number of pods of the whole plant, plant height, effective branch number, main stem and plant type. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 33
Main heading: Ant colony optimization
Controlled terms: Crops? - ?Deep learning? - ?Extraction
Uncontrolled terms: Agricultural fields? - ?Ant Colony Optimization algorithms? - ?Anti-interference? - ?Convolution neural network? - ?Detection methods? - ?High-yield crops? - ?Percentage points? - ?Single-shot? - ?Soybean plants? - ?Target recognition
Classification code: 461.4 Ergonomics and Human Factors Engineering? - ?802.3 Chemical Operations? - ?821.4 Agricultural Products? - ?921.5 Optimization Techniques
DOI: 10.6041/j.issn.1000-1298.2021.12.019
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
19. Simulation and Test of Silage Corn Screw Notched Sawtooth Type Crushing Roller
Accession number: 20220211448040
Title of translation:
Authors: Geng, Duanyang (1); Mu, Xiaodong (1); Sun, Yancheng (1); Zhang, Yangmeng (2); Li, Huabiao (1); Jiang, Huixin (3)
Author affiliation: (1) School of Agricultural and Food Engineering, Shandong University of Technology, Zibo; 255000, China; (2) Shandong Agricultural Machinery Technology Promotion Station, Ji’nan; 250100, China; (3) Shandong Animal Husbandry Gtation, Ji’nan; 250022, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 134-141
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In view of the low working efficiency of silage corn harvester and the poor silking effect of corn straw, which affects the late fermentation of silage corn straw and the transformation of crude fiber, a test bed suitable for silage corn straw spinning and crushing was designed. The straw kneading broken mechanism and the roller tooth key parameters were analyzed and optimization design was conducted. It was concluded that when the two roller tooth was frontal and cooperated with the spiral of the blunt surface gap, straw extrusion, kneading and shearing effect was good, and the maize straw particles bonding model was established based on the discrete element method, using the virtual simulation of EDEM discrete element simulation software test. The impact of two roller speed ratio, number of spiral gap laps and roller speed on the rate of straw silk was explored, it was concluded that the optimal parameter combination was as follows:the number of teeth of crushing roller was 166, the speed difference ratio was 30%, the number of helical notch rings was 80, and the driving roller speed was 5 000 r/min. The relative error between simulation test and bench test results was 3.03%. After the bench test, Binzhou sieve was used for sieving. The results showed that the proportion of small-sized material was 38.37%, the proportion of standard material was 52.75%, and the proportion of incomplete broken material was 8.88%, which were consistent with the results of simulation test. The results showed that the screw notch sawtooth crushing roller had a higher silk rate of 8.22% than the conventional sawtooth crushing roller, which met the industry standard and achieved high crushing and high efficiency of corn stalk. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 15
Main heading: Rollers (machine components)
Controlled terms: Crushing? - ?Efficiency? - ?Silk? - ?Software testing? - ?Speed? - ?Spinning (fibers)
Uncontrolled terms: Corn straws? - ?Crushing roller? - ?Discrete elements? - ?Roller speed? - ?Sawteeth? - ?Silage corn? - ?Simulation tests? - ?Spiral cut? - ?Straw kneading silk? - ?Zigzag
Classification code: 601.2 Machine Components? - ?723.5 Computer Applications? - ?819.1 Natural Fibers? - ?819.3 Fiber Chemistry and Processing? - ?913.1 Production Engineering
Numerical data indexing: Angular velocity 0.00E00rad/s, Percentage 3.00E+01%, Percentage 3.03E+00%, Percentage 3.837E+01%, Percentage 5.275E+01%, Percentage 8.22E+00%, Percentage 8.88E+00%
DOI: 10.6041/j.issn.1000-1298.2021.12.014
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
20. Dynamic Stress Analysis of Pump-turbine Runner during Start-up
Accession number: 20220211448731
Title of translation:
Authors: Gui, Zhonghua (1); Xia, Xiang (2); Wang, Wei (3); Zhou, Lingjiu (2); Liu, Dianhai (1); Wang, Zhengwei (3)
Author affiliation: (1) Pumped-storage Technological and Economic Research Institute, State Grid Xinyuan Co., Ltd., Beijing; 100761, China; (2) College of Water Resources and Civil Engineering, China Agricultural University, Beijing; 100083, China; (3) Department of Energy and Power Engineering, Tsinghua University, Beijing; 100084, China
Corresponding author: Wang, Zhengwei(wzw@mail.tsinghua.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 153-161
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: For hydraulic turbine, especially pump-turbine, the dynamic stress characteristics of runner during start-up is an important index to evaluate the stability of unit. Aiming to analyze the vibration response of a prototype Francis pump-turbine runner during start-up in turbine mode, focusing on the influence of the transient of the hydraulic excitation force on the dynamic stress. Firstly, the steady-state and local transient dynamic stresses were calculated for different rotating speeds during the start-up process. Then, the causes of abnormal vibration were discussed based on the modal analysis and the rotor-stator interaction analysis. Among them, the hydraulic excitation force was obtained by computational fluid dynamics analysis, and the dynamic stress was solved by acoustic-structure based one-way fluid-structure interaction method. Comparing the results of steady-state and transient analysis, it can be seen that the transient of the excitation force had a significant effect on the vibration response near the resonance working condition. The high-level vibration in the transition process laged behind the theoretical resonance condition, and the dynamic stress amplitude was far lower than that estimated by the steady-state method. But outside the resonance region, the dynamic stress levels obtained by steady-state calculation and transient calculation were very close. Besides, resonance was easy to occur only when a hydraulic excitation force corresponded to both the frequency and mode shape of a natural mode of the runner. The above results can provide a reference for the assessment of dynamic stress in the transition process. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Excited states
Controlled terms: Computational fluid dynamics? - ?Fluid structure interaction? - ?Hydraulic motors? - ?Hydraulic turbines? - ?Modal analysis? - ?Pumped storage power plants? - ?Pumps? - ?Resonance? - ?Transient analysis? - ?Vibration analysis
Uncontrolled terms: Acoustic-structure interaction? - ?Dynamic stress? - ?Dynamic stress analysis? - ?Fluid-structure interaction? - ?Hydraulic excitation forces? - ?Pump turbine runners? - ?Pump-turbines? - ?Stress characteristics? - ?Transition process? - ?Vibration response
Classification code: 611.1 Hydroelectric Power Plants? - ?617.1 Hydraulic Turbines? - ?618.2 Pumps? - ?631.1 Fluid Flow, General? - ?632.2 Hydraulic Equipment and Machinery? - ?723.5 Computer Applications? - ?921 Mathematics? - ?931.1 Mechanics? - ?931.3 Atomic and Molecular Physics? - ?931.4 Quantum Theory; Quantum Mechanics
DOI: 10.6041/j.issn.1000-1298.2021.12.016
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
21. Laser Induced Fluorescence System for Assessment of PV of Sunflower Oil
Accession number: 20220211447958
Title of translation:
Authors: Ma, Shaojin (1); Li, Yongyu (1); Peng, Yankun (1); Yan, Shuai (1); Liu, Yachao (1)
Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China
Corresponding author: Li, Yongyu(yyli@cau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 386-392
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: With the aim to develop a rapid and nondestructive method to assess oxidation level of sunflower oil, fluorescence spectra were collected by a self-developed 365 nm laser induced fluorescence (LIF) system. Both thermal oxidation at 60 and room-temperature degradation were implemented to obtain sunflower oil with different peroxide values (PV). Fluorescence peaks at about 440 nm, 495 nm, 520 nm and 680 nm were identified. Sunflower oil with lower PVs had lower fluorescence intensities. A control part was designed in order to detect the fluorescence response at different spectral acquisition times. In contrast to the LIF spectra acquired from 10 s to 60 s (with a interval of 10 s), the spectra acquired at 1 s appeared to have the strongest response, and therefore it was used in the following part. After SG smoothing of the original LIF spectra, three different pre-processing methods were operated to correct the spectra. Top six normalized weights were extracted for evaluating the correlation between fluorophore in sunflower oil and PV. The peaks for hydroperoxides, chlorophyll and vitamin E had a very close association with the PV. The best partial least squares regression resulted in Rc2 of 0.999 5 and Rp2 of 0.997 2 and RMSEC of 0.008 8 g/(100 g) and RMSEP of 0.022 7 g/(100 g) for MSC pre-processing. The accuracy of the proposed LIF system was validated by using an independent set of samples with an R2 of 0.968 1 and RMSE of 0.041 1 g/(100 g). The absolute residual values below the national standard limit were all below 0.08 g/(100 g). These findings demonstrated that the proposed LIF system could be used to detect PV of sunflower oil with high accuracy, thus providing technical support for subsequent design of portable device and construction of edible oil oxidation warning system. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Fluorescence
Controlled terms: Laser optics? - ?Laser produced plasmas? - ?Least squares approximations? - ?Peroxides? - ?Processing? - ?Sunflower oil? - ?Thermooxidation
Uncontrolled terms: Fast detections? - ?Fluorescence spectra? - ?Laser induced fluorescence? - ?Laser induced fluorescence spectrum? - ?Laser-induced fluorescence systems? - ?Nondestructive methods? - ?Oxidation level? - ?Peroxide value? - ?Rapid method? - ?Spectra’s
Classification code: 741.1 Light/Optics? - ?744.1 Lasers, General? - ?744.9 Laser Applications? - ?802.2 Chemical Reactions? - ?804.1 Organic Compounds? - ?822.3 Food Products? - ?913.4 Manufacturing? - ?921.6 Numerical Methods? - ?932.3 Plasma Physics
Numerical data indexing: Mass 1.00E-01kg, Mass 1.00E-03kg, Mass 7.00E-03kg, Mass 8.00E-03kg, Mass 8.00E-05kg, Size 3.65E-07m, Size 4.40E-07m, Size 4.95E-07m, Size 5.20E-07m, Size 6.80E-07m, Time 1.00E+01s, Time 1.00E+01s to 6.00E+01s, Time 1.00E00s
DOI: 10.6041/j.issn.1000-1298.2021.12.040
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
22. Agricultural Image Dehazing Method Based on Super-pixel Dark Channel and Improved Guided Filtering
Accession number: 20220211447943
Title of translation:
Authors: Fan, Xiangpeng (1); Zhou, Jianping (1, 2); Xu, Yan (1, 2)
Author affiliation: (1) School of Mechanical Engineering, Xinjiang University, Urumqi; 830047, China; (2) Agriculture and Animal Husbandry Robot and Intelligent Equipment Engineering Research Center of Xinjiang Uygur Autonomous Region, Urumqi; 830047, China
Corresponding authors: Zhou, Jianping(linkzhou@163.com); Zhou, Jianping(linkzhou@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 264-272
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: UAV low-altitude remote sensing platform has become an important means to obtain high-throughput phenotypic information in agricultural field. The haze removal and quality restoration of agricultural field images are the premise and basis for analyzing remote sensing information. Aiming at the disadvantages of traditional dark channel prior algorithm, such as large amount of computation, slow operation speed and poor applicability in remote sensing image, a method based on super-pixel level dark channel prior and adaptive tolerance mechanism to improve the guided filtering algorithm was proposed. Firstly, super-pixel segmentation method was utilized to obtain super-pixel blocks with consistent color and luminance properties, and transmittance of each irregular super-pixels block was estimated.The guided filtering algorithm was introduced and improved by using adaptive smoothing parameters to refine the transmittance for the detailed edge information. Then the adaptive tolerance mechanism was added to enable the algorithm to make adaptive compensation and correction for the transmittance according to the change of the bright region of the image and the concentration of fog, after which, the optimal transmittance was acquired. Finally, the local atmospheric light estimation and adaptive adjustment mechanism were used to obtain higher quality images based on the atmospheric scattering model. The experimental results showed that the proposed algorithm can effectively recover images affected by different concentrations of fog. Six different fog concentrations of remote sensing images were taken as examples. Compared with the traditional haze removal algorithms based on dark channel prior using subjective and objective evaluation index evaluation, the proposed method had more real color and more abundant information details. Within the scope of a certain pixel, the method had high real-time performance, which can provide research foundation for the field of remote sensing image splicing and agricultural information parsing. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Agriculture
Controlled terms: Demulsification? - ?Fog? - ?Haze polution? - ?Image enhancement? - ?Image segmentation? - ?Information filtering? - ?Pixels? - ?Remote sensing
Uncontrolled terms: Adaptive tolerance? - ?Agricultural fields? - ?Agricultural image? - ?Dark channel priors? - ?Dehazing? - ?Guided filtering? - ?Haze removal? - ?Remote sensing images? - ?Super pixels? - ?Super-pixel segmentation
Classification code: 443.1 Atmospheric Properties? - ?454.2 Environmental Impact and Protection? - ?802.3 Chemical Operations? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?903.1 Information Sources and Analysis
DOI: 10.6041/j.issn.1000-1298.2021.12.028
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
23. Number and Parameters Extraction of Tree Well Based on UAV Remote Sensing in Cutting Area
Accession number: 20220211448927
Title of translation:
Authors: Zhou, Xiaocheng (1); Wang, Fengke (1); Huang, Hongyu (1); Feng, Zhiqing (2); Xiao, Xiangxi (3); Li, Yuan (1)
Author affiliation: (1) Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Fuzhou; 350108, China; (2) Fujian Jinsen Forestry Co., Ltd., Sanming; 353300, China; (3) Fujian Academy of Forestry Sciences, Fuzhou; 350012, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 201-206
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to explore the application potential of unmanned aerial vehicle (UAV)remote sensing in the verification of afforestation results, unmanned aerial vehicle (UAV) remote sensing technique was used to extract the parameters and the number of tree well in a cutting area of Jiangle County, Fujian Province. Phantom 4Pro UAV equipped with a digital camera was used to obtain 0.01 m resolution aerial images. DOM, DSM and point cloud data were acquired after pre-processing. They were interpreted by artificial visual interpretation, template matching method, circular Hough transform, respectively, by which all the parameters of tree well were extracted and then analyzed and the applicability and classification accuracy of each method was evaluated in the parameters extraction of tree well in afforestation project.The correctness of tree well number obtained by template matching was 92.60%. The correctness of holes number obtained by circular Hough transform was 95.15%.At the same time, the measurement of tree well width and depth got a good results with the R2of 0.93 and 0.92, root mean square error (RMSE) values of 1.02 cm and 1.67 cm. It not only had high precision, and the results were consistent with template matching method, but also extracted the width and depth of tree well and improved the processing speed of big data.Remote sensing based on UAV could be used for number, width and depth parameters extraction of tree well. The circular Hough transform method could get precision parameters of tree well, which providing a technical plan for quality checking of tree well and extending UAVRS application in afforestation project. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 21
Main heading: Template matching
Controlled terms: Antennas? - ?Extraction? - ?Feature extraction? - ?Hough transforms? - ?Mean square error? - ?Reforestation? - ?Remote sensing? - ?Unmanned aerial vehicles (UAV)
Uncontrolled terms: Circular Hough transforms? - ?Cutting area? - ?Digital surface models? - ?Number of trees? - ?Parameters extraction? - ?Remote sensing techniques? - ?Remote-sensing? - ?Template matching method? - ?Tree well in afforestation project? - ?Unmanned aerial vehicle remote sensing
Classification code: 652.1 Aircraft, General? - ?723 Computer Software, Data Handling and Applications? - ?802.3 Chemical Operations? - ?821.0 Woodlands and Forestry? - ?921.3 Mathematical Transformations? - ?922.2 Mathematical Statistics
Numerical data indexing: Percentage 9.26E+01%, Percentage 9.515E+01%, Size 1.00E-02m, Size 1.02E-02m, Size 1.67E-02m
DOI: 10.6041/j.issn.1000-1298.2021.12.021
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
24. Water Footprint Analysis of Wheat and Derived Products Based on Supply-chain
Accession number: 20220211447965
Title of translation:
Authors: Feng, Bianbian (1); Zhuo, La (2, 3); Yang, Xi (1); Wang, Wei (1); Xu, Zenghui (1); Wu, Pute (2, 3)
Author affiliation: (1) College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling; 712100, China; (2) Institute of Soil and Water Conservation, Northwest A&F University, Yangling; 712100, China; (3) Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling; 712100, China
Corresponding authors: Zhuo, La(zhuola@nwafu.edu.cn); Zhuo, La(zhuola@nwafu.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 358-367
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The product water footprint (WF) is defined as the direct and indirect consumption of water resources in the process of product production. The complete water consumption of agricultural products includes the direct water consumption of crops in the field and the indirect consumption of relevant inputs in the crop production supply-chain. However, previous studies on the WF of agricultural products only focused on the direct water consumption in the field. Here, within the framework of WF standard quantification and life cycle method, a quantitative framework for the supply-chain based water footprint (SWF) of agricultural products production that indicated both indirect and direct water consumption along the raw material-to-product chain at an intra-national level was proposed. Then, the SWFs of wheat and its processed products (wheat flour and wheat bran) in mainland China’s provinces in 2016 was quantified. Results showed that the national average SWF of wheat production was 4 869 m3/t, and the indirect WF related to means of production accounted for 6% of the total SWF of wheat. The SWFs of wheat flour and wheat bran production were 3 781 m3/t and 11 037 m3/t, respectively. There was significant spatial heterogeneity in the intensity and composition of the SWF of wheat and derived products production, and the contribution of the indirect blue WF of Fujian wheat to the total blue WF reached 25%. The results can provide a scientific basis for comprehensively analyzing the internal relationship between agricultural and industrial water input among regions and for formulating reasonable water resources allocation scheme and implementing the stratagem of “deciding production by water”. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 40
Main heading: Supply chains
Controlled terms: Agricultural products? - ?Crops? - ?Cultivation? - ?Life cycle? - ?Water resources? - ?Water supply
Uncontrolled terms: Blue water? - ?Derived products? - ?Green water? - ?Means of productions? - ?Product production? - ?Water consumption? - ?Water footprint? - ?Wheat? - ?Wheat bran? - ?Wheat flours
Classification code: 444 Water Resources? - ?446.1 Water Supply Systems? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?911.3 Inventory Control? - ?912 Industrial Engineering and Management? - ?913 Production Planning and Control; Manufacturing
Numerical data indexing: Percentage 2.50E+01%, Percentage 6.00E+00%, Size 3.70E+01m, Size 7.81E+02m, Size 8.69E+02m
DOI: 10.6041/j.issn.1000-1298.2021.12.037
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
25. Innovative Method of Crop Classification for Hyperspectral Images Combining Stacked Autoencoder and CNN
Accession number: 20220211448149
Title of translation: CNN
Authors: Guo, Jiao (1, 2); Li, Yibang (1); Dong, Siyi (1); Zhang, Weitao (3)
Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling; 712100, China; (2) Shaanxi Key Laboratory of Agriculture Information Perception and Intelligent Service, Yangling; 712100, China; (3) Research Institute of Advanced Remote Sensing Technology, Xidian University, Xi’an; 710071, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 225-232
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In crop classification with hyperspectral images, in order to make full use of the complete spectral information of hyperspectral remote sensing images and avoid the Hughes phenomenon caused by high-dimensional data, traditional methods usually adopt the strategy of “feature reduction first, and then classification”. Starting from the data dimensionality reduction of the autoencoder and the classification advantages of CNN network, the commonalities of the two networks in the training process was firstly analyzed, and a fusion network for hyperspectral image classification was constructed based on the selection of classifiers in the optimization process of the autoencoder. Compared with the traditional methods, this method can realize the direct classification of hyperspectral images through once supervision training, which simplified the traditional data processing process and had better classification performances. In the experiment, two sets of typical hyperspectral remote sensing image data sets from Pavia University and Xiong’an area were used to verify the method. The experimental results showed that in Pavia University dataset, when only 10% of pixels were selected as the training set, the overall classification accuracy of the proposed method reached 98.73%, which was more than 8 percentage points higher than those of the traditional method. In Xiong’an dataset, when only 1% of pixels were selected as the training set, the overall classification accuracy of this method reached 98.04%, which was more than 7 percentage points higher than those of the traditional method, which proved the correctness of this analysis and the effectiveness of the proposed method, and also provided a strategy for hyperspectral image classification with small training samples. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 30
Main heading: Spectroscopy
Controlled terms: Classification (of information)? - ?Clustering algorithms? - ?Crops? - ?Hyperspectral imaging? - ?Image analysis? - ?Image classification? - ?Independent component analysis? - ?Learning systems? - ?Pixels? - ?Remote sensing
Uncontrolled terms: Auto encoders? - ?Classification accuracy? - ?CNN? - ?Crop classification? - ?Hyperspectral image classification? - ?Hyperspectral Remote Sensing Image? - ?Innovative method? - ?Percentage points? - ?Stacked autoencoder? - ?Training sets
Classification code: 716.1 Information Theory and Signal Processing? - ?723.2 Data Processing and Image Processing? - ?746 Imaging Techniques? - ?821.4 Agricultural Products? - ?903.1 Information Sources and Analysis
Numerical data indexing: Percentage 1.00E+01%, Percentage 1.00E00%, Percentage 9.804E+01%, Percentage 9.873E+01%
DOI: 10.6041/j.issn.1000-1298.2021.12.024
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
26. Path Planning Method of Ant Colony Algorithm Based on Effective Turning Point and Shortest-minimum Path
Accession number: 20220211448134
Title of translation:
Authors: Chu, Kaixuan (1); Chang, Tianqing (1); Wang, Quandong (2); Yan, Xiaodong (1)
Author affiliation: (1) Department of Weaponry and Control, Army Academy of Armored Forces, Beijing; 100072, China; (2) Evaluation and Demonstration Research Center, Academy of Military Sciences, Beijing; 100091, China
Corresponding author: Chang, Tianqing(changtianqing@263.net)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 400-407
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to improve the convergence accuracy and speed of path optimization by ant colony algorithm, a grid map based on effective turning point and an ant colony algorithm based on the shortest distance and minimum number of steps path (shortest-minimum path) were proposed to search the shortest path from the beginning to the end. In the standard path planning of ant colony algorithm, the searching method of ants is finite neighbor with finite direction. A searching method with infinite neighbor and infinite directions was proposed, which can take a shortcut to any grid point that can be directly connected. The concept of effective turning point was put forward to reduce the single-step searching amount: firstly, based on the relationship between shortest path and obstacles, two windows were used to scan the whole map to find all the inflection points, and then a through-through tree was established from the end point to the starting point according to the hierarchical relationship, and only the points within the through-through tree were reserved as the effective inflection points. The concept of shortest-minimum path was proposed, which was used to replace Euclidean distance as heuristic value to improve the accuracy and reliability of heuristic value. At the same time, the shortest-minimum distance from the beginning to the end was used to guide the updating of pheromone and improve the quality of ant colony algorithm iteration. Finally, in the grid map environment with different scales and different proportions of obstacles, the rationality of using the shortest-minimum path distance to replace the Euclidean distance was proved through experiments, and it was verified that the method presented can search the path with shorter distance and fewer steps with faster convergence speed while reducing the calculation cost. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Graph theory
Controlled terms: Ant colony optimization? - ?Forestry? - ?Iterative methods? - ?Motion planning
Uncontrolled terms: Ant colonies algorithm? - ?Effective turning point? - ?Euclidean distance? - ?Grid map? - ?Inflexion point? - ?Path planning method? - ?Searching methods? - ?Short-minimum path? - ?Short-path? - ?Turning-points
Classification code: 821.0 Woodlands and Forestry? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?921.5 Optimization Techniques? - ?921.6 Numerical Methods
DOI: 10.6041/j.issn.1000-1298.2021.12.042
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
27. Extraction of Winter Wheat Planting Area in County Based on Multi-sensor Sentinel Data
Accession number: 20220211449181
Title of translation: Sentinel
Authors: Li, Changchun (1); Chen, Weinan (1); Wang, Yu (1); Ma, Chunyan (1); Wang, Yilin (1); Li, Yacong (1)
Author affiliation: (1) School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo; 454000, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 207-215
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Winter wheat is one of the main food crops in China. Timely and accurate localization of the planting areas of this crop is highly crucial for making adequate agricultural policies. The feasibility of a remote-sensing system for mapping winter wheat in the Fugou County was explored, combining Sentinel-1A and Sentinel-2A/B remote-sensing images. Firstly, remote-sensing images were collected to reflect the different phenological patterns of winter wheat. In particular, these images were sampled across five typical growth stages, namely, jointing, heading, flowering, milk mature, and mature stages. Then, spectral, vegetation, and polarization features were extracted from the collected images, and the characteristic curves of various ground objects were analyzed. Last, random forest classifiers were trained to accurately classify the remote-sensing images associated with four possible winter wheat models: a single-growth-stage single-sensor model, a single-growth-stage multi-sensor model, a multi-growth-stage single-sensor model, and a multi-growth-stage multi-sensor model. The results showed that the single-growth-stage models cannot meet the crop mapping requirements, where the highest attained accuracy reached only 62.9% for the jointing stage. Additionally, these requirements were met by the multi-growth-stage models whose highest classification accuracy reached 81.9%. The optical and fusion images associated with the single-growth-stage models achieved the highest accuracy for the mature stage, with overall accuracies of 93.4% and 95.1%, and Kappa coefficients of 92.4% and 94.8%, respectively. These results could lead to more accurate mapping of the spatial distribution of the winter wheat crop. Also, the spatial distribution map of winter wheat in Fugou County in 2019 drawn by multi-growth-stage model has the overall accuracy of 96.8%, and the result is the best. Thus the proposed multi-growth-stage fusion model can be effectively employed in the localization and mapping of winter wheat planting areas. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 30
Main heading: Crops
Controlled terms: Decision trees? - ?Image fusion? - ?Remote sensing? - ?Spatial distribution
Uncontrolled terms: Fusion image? - ?Growth stages? - ?Multi sensor? - ?Planting areas? - ?Random forests? - ?Remote sensing images? - ?Sensors models? - ?Sentinel data? - ?Stage models? - ?Winter wheat
Classification code: 405.3 Surveying? - ?723.2 Data Processing and Image Processing? - ?821.4 Agricultural Products? - ?902.1 Engineering Graphics? - ?921 Mathematics? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?961 Systems Science
Numerical data indexing: Electric current -1.00E00A, Electric current -2.00E+00A, Percentage 6.29E+01%, Percentage 8.19E+01%, Percentage 9.24E+01%, Percentage 9.34E+01%, Percentage 9.48E+01%, Percentage 9.51E+01%, Percentage 9.68E+01%
DOI: 10.6041/j.issn.1000-1298.2021.12.022
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
28. Automatic Detection Method for Urediniospores of Wheat Stripe Rust Based on Improved CenterNet Model
Accession number: 20220211448701
Title of translation: CenterNet
Authors: Lei, Yu (1, 2); Zhou, Jinbing (1, 2); He, Dongjian (3, 4); Chen, Peng (1, 2); Zeng, Weihui (1, 2); Liang, Dong (1, 2)
Author affiliation: (1) National Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Anhui University, Hefei; 230601, China; (2) School of Internet, Anhui University, Hefei; 230601, China; (3) College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling; 712100, China; (4) Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling; 712100, China
Corresponding authors: Chen, Peng(pchen@ahu.edu.cn); Chen, Peng(pchen@ahu.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 233-241
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: An automatic detection method for urediniospores of wheat stripe rust based on improved CenterNet model was proposed to solve the serious problems of false detection and missing detection in microscopic images collected by spore capture equipment. Firstly, the feature extraction network in CenterNet was optimized by halving the number of Basic Block layers to improve detection and training speed in view of the characteristics of small spore targets and few species in fungal spore microscopic images. Secondly, according to the characteristic that the spore shape was nearly elliptic or round, the width and height of the target originally used for training was improved into the long and short axis and angle of the target ellipse frame for the training part of CenterNet, which improved the spore segmentation coincidence rate. Finally, the long and short axis mapping rectangle was used to calculate the Gaussian core radius of the elliptical frame heat map to reduce the missed detection rate of spores. The experimental results showed that the identification accuracy of the improved CenterNet detection method for urediniospores of wheat stripe rust was 98.77%, the overlap degree was 83.63%, and the detection speed was 41 f/s, which met the application requirements of real-time detection. Compared with the original CenterNet model, the overlap degree was increased by 7.53 percentage points, the detection speed was 11 f/s faster, and the model size was reduced by 68.5%. In conclusion, the experimental results indicated that the proposed method can accurately detect and segment fungal spores in the microscopic image, providing technical support for the automatic detection of airborne urediniospores of wheat stripe rust in wheat fields and the early control of wheat stripe rust. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 29
Main heading: Fungi
Controlled terms: Deep learning? - ?Feature extraction? - ?Image enhancement? - ?Image segmentation
Uncontrolled terms: Automatic Detection? - ?Bounding-box? - ?Deep learning? - ?Elliptical bounding box? - ?Ellipticals? - ?Fungal urediniospore? - ?Improved centernet? - ?Stripe rust? - ?Urediniospores? - ?Wheat stripe rust
Classification code: 461.4 Ergonomics and Human Factors Engineering
Numerical data indexing: Percentage 6.85E+01%, Percentage 8.363E+01%, Percentage 9.877E+01%
DOI: 10.6041/j.issn.1000-1298.2021.12.025
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
29. Yield Monitoring for Grain Combine Harvester Based on Monocular Vision
Accession number: 20220211448925
Title of translation:
Authors: Zeng, Hongwei (1); Lei, Junbo (1); Tao, Jianfeng (1); Liu, Chengliang (1)
Author affiliation: (1) State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai; 200240, China
Corresponding author: Tao, Jianfeng(jftao@sjtu.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 281-289
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: It is of great significance to accurately obtain the crop yield distribution information of farmland, which can provide decision-making basis for fine farmland management. However, due to the serious grain falling in the harvester elevator, the traditional photoelectric sensor is prone to triggering by mistake, and the grain falling is random, so the error is difficult to correct and eliminate. In order to improve the accuracy of yield monitoring, a method of grain yield measurement based on monocular vision was developed, which can be used in the combine harvester with scraper elevator. Firstly, a more accurate geometric model of grain heap on the scraper was established according to the real images of grain pile in elevator. Then, a volume measurement method of the grain heap was developed based on vision measurement and image processing technology. Under the illumination of the auxiliary light source, the image of the scraper and grain heap in grain elevator was collected by an industrial camera. The neighborhood differentiation-based method was put forward to extract the region of interest of the image, and then the Otsu method and morphological processing were used to accurately segment the grain piles from the background. According to the camera imaging model, the actual side area of the grain pile in the world coordinate system was calculated, and the grain volume was obtained through the geometric model of the grain pile. Finally, the volume of grain pile on each scraper was accumulated to obtain the grain yield. To verify the effectiveness of the proposed method, a grain yield measurement system based on monocular vision was built, and experiments were carried out on the elevator experiment bench. The results showed that the relative error measured by the proposed method was between -4.08% and 3.41% at different elevator speeds, which can meet the accuracy requirements of grain yield monitoring for the combine harvester. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 24
Main heading: Cameras
Controlled terms: Decision making? - ?Image segmentation? - ?MATLAB? - ?Vision
Uncontrolled terms: Combine harvesters? - ?Crop yield? - ?Decisions makings? - ?Geometric models? - ?Grain combines? - ?Grain yield? - ?Images processing? - ?Monocular vision? - ?Yield measurement? - ?Yield monitoring
Classification code: 723.5 Computer Applications? - ?742.2 Photographic Equipment? - ?912.2 Management? - ?921 Mathematics
Numerical data indexing: Percentage -4.08E+00%, Percentage 3.41E+00%
DOI: 10.6041/j.issn.1000-1298.2021.12.030
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
30. Design and Experiment of Parallel Double Impeller Collecting Device for Black Soldier Fly Sand
Accession number: 20220211447963
Title of translation:
Authors: Peng, Caiwang (1); Zhou, Ting (1); Song, Shisheng (1); Sun, Songlin (1); Xiang, Yang (1); Xu, Daojun (2)
Author affiliation: (1) College of Engineering, Hunan Agricultural University, Changsha; 410128, China; (2) College of Veterinary Medicine, Hunan Agricultural University, Changsha; 410128, China
Corresponding author: Xu, Daojun(xudaojun29@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 142-152
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming at the problems of high labor intensity and low work efficiency in the process of black soldier fly (Hermetia illucens L.) sand collecting, a parallel double impeller collecting device for black soldier fly sand was designed. Firstly, the external dimensions of parallel double impeller were determined according to the agronomic requirements of black soldier fly larvae bio-transforming livestock and poultry manure. By analyzing the working mechanism and dynamics of the parallel double impeller, the curve and quantity of the arc-shaped impeller blades were determined, and the trajectory and equation of the impeller aggregate movement were obtained. On this basis, the main factors affecting its aggregate properties were determined. Then, single-factor and three-factor three-level quadratic regression orthogonal tests were conducted with forward speed, impeller inclination angle, and impeller speed as test factors and the aggregate efficiency and variable coefficient of aggregate uniformity as the response value. Besides, a response surface mathematical model was established to analyze the influence of various factors on aggregate performance, and Design-Expert software was employed to comprehensively optimize the influencing factors. The test results showed that the order of influencing factors on the aggregate efficiency from primary to secondary was as follows: impeller inclination angle, forward speed, and impeller speed; the order of influencing factors on the variable coefficient of aggregate uniformity from primary to secondary was as follows: impeller speed, forward speed, and impeller inclination angle. The optimization results were verified, and it can be obtained that the forward speed was 0.06 m/s; the impeller inclination angle was 18°; the impeller speed was 16 r/min; the aggregate efficiency was 4.67 kg/s; the variable coefficient of aggregate uniformity was 2.81%; the relative errors between the experimental values of each evaluation index and the optimized value of the model were 3.78% and 6.84%, respectively, which met the requirement of black soldier fly sand aggregating and conveying. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 28
Main heading: Impellers
Controlled terms: Aggregates? - ?Agriculture? - ?Efficiency? - ?Fertilizers? - ?Sand? - ?Speed
Uncontrolled terms: Aggregate efficiency? - ?Black soldier fly sand? - ?Collecting device? - ?Forward speed? - ?Impeller speed? - ?Inclination angles? - ?Labour intensity? - ?Parallel? - ?Variable coefficients? - ?Work efficiency
Classification code: 406 Highway Engineering? - ?412.2 Concrete Reinforcements? - ?483.1 Soils and Soil Mechanics? - ?601.2 Machine Components? - ?804 Chemical Products Generally? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.2 Agricultural Chemicals? - ?913.1 Production Engineering
Numerical data indexing: Angular velocity 2.672E-01rad/s, Mass flow rate 4.67E+00kg/s, Percentage 2.81E+00%, Percentage 3.78E+00%, Percentage 6.84E+00%, Velocity 6.00E-02m/s
DOI: 10.6041/j.issn.1000-1298.2021.12.015
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
31. Numerical Simulation and Optimization Design of Winter Particulate Matter in Northern Layer House
Accession number: 20220211449058
Title of translation:
Authors: Yuan, Yueming (1); Zhang, Shuo (1); Jia, Lexin (1); Li, Jinsheng (1); Liu, Biying (1); Zhou, Li’na (1)
Author affiliation: (1) College of Engineering and Technology, Jilin Agricultural University, Changchun; 130118, China
Corresponding author: Zhou, Li’na(zhoulina976430@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 368-377
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: It is important to find out the distribution pattern of particulate matter in livestock houses to reduce dust particle pollution and improve air quality in livestock houses. The concentrations of different particle sizes (PM1, PM2.5, PM10 and TSP) in a layer house in Jilin Province were monitored and the distribution characteristics of different particle sizes were analyzed. The temperature, humidity, airflow and particulate matter concentration fields of a closed layer house with negative pressure ventilation were simulated by using computational fluid dynamics (CFD) technology and the design was verified through experiments, and the unreasonable areas were optimized for simulation. The results showed that temperature was positively correlated with PM1 and PM2.5 (P1 in the house was decreased by 17.4%, and that of PM2.5 was decreased by 15.9%, PM10 was decreased by 18.1% and TSP was decreased by 21.6%, which was more conducive to the growth and development of chickens and better air quality improvement of the layer house. The research result revealed the distribution patterns of temperature, humidity, airflow and particle concentration fields in northern layer houses in winter, which can provide a reference basis for environment optimization in layer houses. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 31
Main heading: Particles (particulate matter)
Controlled terms: Agriculture? - ?Air? - ?Air quality? - ?Animals? - ?Computational fluid dynamics? - ?Houses? - ?Particle size
Uncontrolled terms: Different particle sizes? - ?Distribution patterns? - ?Fluid-dynamics? - ?Layer house? - ?Measured values? - ?Negative pressure ventilation? - ?Negative pressures? - ?Optimized designs? - ?Particulate Matter? - ?PM 2.5
Classification code: 402.3 Residences? - ?451.2 Air Pollution Control? - ?723.5 Computer Applications? - ?804 Chemical Products Generally? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?931.1 Mechanics? - ?951 Materials Science
Numerical data indexing: Percentage 1.23E+00% to 8.88E+00%, Percentage 1.59E+01%, Percentage 1.74E+01%, Percentage 1.81E+01%, Percentage 2.16E+01%, Percentage 5.11E+00% to 1.40E+01%, Size 2.54E-02m
DOI: 10.6041/j.issn.1000-1298.2021.12.038
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
32. Effects of Straw Returning to Field on Soil Salinity Content and Maize Yield under Alternate Irrigation of Canal-well
Accession number: 20220211448152
Title of translation:
Authors: E, Jifang (1); Yang, Shuqing (1); Lou, Shuai (1); Liu, Peng (1); Jin, Yahong (1)
Author affiliation: (1) College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Huhhot; 010018, China
Corresponding author: Yang, Shuqing(nmndysq@126.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 336-345 and 367
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming to explore the effects of different straw returning methods on soil salinity content and summer maize yield under the alternate irrigation of canal-well, field experiments with different tillage modes were carried out in Hetao Irrigation District in 2018 and 2019. The experiment consisted of four different treatments. It included conventional tillage without straw returning (CK treatment), straw surface covering (BF treatment), straw deep buried (SM treatment) and straw mixing (HB treatment) to the field under the irrigation mode of brackish and fresh water. The results showed that salt accumulated in soil at 1 m after harvest under all treatments, and the treatments of straw returning reduced the salt accumulation rate significantly. Compared with CK treatment, the BF, SM and HB treatments decreased the salt accumulation rate by 8.7 percentage points, 12.4 percentage points and 6.9 percentage points, respectively. SM treatment had the minimum salt accumulation rate, with an average salt accumulation rate of 3.2% in two years, and the desalination zone was formed in the soil depth of 20~40 cm. After harvest, the sodium adsorption ratio (SAR) of saturated extracts of different soil layers treated with CK treatment was increased by 10.2%~53.3% compared with the initial value, with a high risk of soil sodification. The SAR was effectively reduced by straw returning measure. SM treatment had the minimum SAR of different soil layers after harvest, which was decreased by 0.4%~73.0% compared with the initial value. and could alleviate soil salinization. Path analysis showed that the main decision factor of summer maize yield was ear length and the limiting factor was bald pointed. Compared with CK, the BF, SM and HB treatments increased production by 11.2%, 19.8% and 11.6%, respectively, and increased WUE by 18.4%, 36.1% and 21.2%, respectively. The comprehensive effect of SM treatment was better. The research could provide theoretical basis for safe utilization of brackish water and straw resource utilization in Hetao Irrigation District. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 31
Main heading: Irrigation
Controlled terms: Desalination? - ?Harvesting? - ?Hydraulic structures? - ?Regression analysis? - ?Soils
Uncontrolled terms: Accumulation rates? - ?Alternate irrigation of canal-well? - ?Brackish water? - ?Brackish water irrigation? - ?Maize? - ?Maize yield? - ?Salinity? - ?Salt accumulations? - ?Straw returned to field? - ?Yield
Classification code: 445.1 Water Treatment Techniques? - ?483.1 Soils and Soil Mechanics? - ?821.3 Agricultural Methods? - ?922.2 Mathematical Statistics
Numerical data indexing: Percentage 1.02E+01%, Percentage 1.12E+01%, Percentage 1.16E+01%, Percentage 1.84E+01%, Percentage 1.98E+01%, Percentage 2.12E+01%, Percentage 3.20E+00%, Percentage 3.61E+01%, Percentage 4.00E-01%, Percentage 5.33E+01%, Percentage 7.30E+01%, Size 1.00E00m, Size 2.00E-01m to 4.00E-01m
DOI: 10.6041/j.issn.1000-1298.2021.12.035
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
33. Winter Wheat Yield Estimation Method Based on NDWI and Convolutional Neural Network
Accession number: 20220211449174
Title of translation: NDWI
Authors: Liu, Junming (1); Zhou, Zhou (1); He, Xiaotong (1); Wang, Pengxin (2); Huang, Jianxi (1)
Author affiliation: (1) College of Land Science and Technology, China Agricultural University, Beijing; 100083, China; (2) College of Information and Electrical Engineering, China Agricultural University, Beijing; 100083, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 273-280
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The yield estimation of winter wheat is of great reference significance for the country to guide agricultural production and make accurate management decisions for the whole growth period of winter wheat. The moderate resolution imaging spectroradiometer (MODIS) was taken as the data source to extract the information of visible and near-infrared bands at different periods and selected seven remote sensing features of vegetation, including normalized difference vegetation index (NDVI), normalized difference water index (NDWI), soil adjusted vegetation index (SAVI), optimal soil adjusted vegetation index (OSAVI), green normalized difference vegetation index (GNDVI), modified soil-adjusted vegetation index (MSAVI) and green red vegetation index (GRVI). Using its histogram distribution information as an input variable, a convolutional neural network (CNN) was used to predict winter wheat yield, comparatively analyze the performance of NDWI in winter wheat yield estimation, and explore its accuracy changes under the influence of frost damage. The results showed that compared with NDVI, SAVI, OSAVI, GNDVI, MSAVI and GRVI, NDWI had a better prediction effect on the yield prediction of winter wheat in the early growth stage, the prediction accuracy of NDWI was higher than that of NDVI, SAVI and other vegetation indices before and after yield detrending, the coefficient of determination (R2) was up to 0.79, and it can still maintain a good prediction effect under the influence of frost damage. NDWI had the greatest influence on the final yield of winter wheat at the stage of heading and grouting. From April 23th to April 30th, the R2 of NDWI can reach 0.72. In terms of spatial distribution, the winter wheat in the study area had the highest yield in the east, followed by the middle, and the lowest yield in the west, and the western and northern mountains and the eastern plains at the junction of large error. The results could provide scientific reference for early growth yield prediction of winter wheat. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 37
Main heading: Crops
Controlled terms: Convolution? - ?Convolutional neural networks? - ?Forecasting? - ?Infrared devices? - ?Remote sensing? - ?Soils? - ?Vegetation
Uncontrolled terms: Convolutional neural network? - ?Frost damage? - ?Green normalized difference vegetation index? - ?Normalized difference vegetation index? - ?Normalized difference water index? - ?Vegetation index? - ?Winter wheat? - ?Winter wheat yields? - ?Yield estimation? - ?Yield prediction
Classification code: 483.1 Soils and Soil Mechanics? - ?716.1 Information Theory and Signal Processing? - ?821.4 Agricultural Products
DOI: 10.6041/j.issn.1000-1298.2021.12.029
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
34. Design and Test of Front Mounted Belt Clamping and Conveying Cotton-stalk Pulling Device
Accession number: 20220211449103
Title of translation:
Authors: Zhang, Jiaxi (1); Rui, Zhaoyu (1); Cai, Jialin (1); Wang, Yichao (1); Yeerbolati, Tiemuer (1); Gao, Zhouming (1)
Author affiliation: (1) School of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi; 830052, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 77-84 and 152
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to realize the recycling of cotton-stalk, it has been an urgent need to develop a cotton-stalk harvester applicable to the mechanical cotton picking and planting model in Xinjiang, so as to advance the whole-process mechanization of cotton harvesting. Aiming at solving the problems of high plucking rate and scattered spreading of cotton stalk in the process of pulling, a kind of front mounted belt clamping and conveying cotton-stalk pulling device was designed based on the principle of belt clamping and conveying. The cotton-stalk pulling device consisted of a front suspension device, dividers, a pulling and conveying device, and a hydraulic system. The pulling and conveying device was the key part of the device. It pulled out cotton stalks by belt clamping, then, the belt transported the stalks to one side of the machine. A quadratic regression orthogonal test with three factors and three levels was carried on, with cotton-stalk leakage rate and cotton-stalk plucking rate as response values, with forward speed, driving wheel speed, and tensional amount as the influence factors, and parameters were optimized. The results showed that the forward speed had significant effect on the cotton-stalk plucking rate, the driving wheel speed and the tensional amount had highly significant effects on the cotton-stalk plucking rate (P ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 17
Main heading: Conveying
Controlled terms: Agricultural machinery? - ?Belt conveyors? - ?Cotton? - ?Hydraulic equipment? - ?Speed? - ?Testing? - ?Wheels
Uncontrolled terms: Belt clamping and conveying? - ?Cotton stalk? - ?Cotton-stalk pulling device? - ?Driving wheels? - ?Forward speed? - ?Front mounted? - ?Leakage rates? - ?Orthogonal test? - ?Parameter optimization? - ?Wheel speed
Classification code: 601.2 Machine Components? - ?632.2 Hydraulic Equipment and Machinery? - ?692.1 Conveyors? - ?821.1 Agricultural Machinery and Equipment? - ?821.4 Agricultural Products
Numerical data indexing: Angular velocity 4.091166E+00rad/s, Angular velocity 4.175E+00rad/s, Percentage 3.67E+00%, Percentage 5.00E+00%, Percentage 5.32E+00%, Size 2.00E+03m, Size 2.27E+03m, Size 7.00E-02m, Size 7.126E-02m
DOI: 10.6041/j.issn.1000-1298.2021.12.008
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
35. Bionic Design and Experiment of Potato Curved Surface Sowing Furrow Opener
Accession number: 20220211449130
Title of translation:
Authors: Zhao, Shuhong (1); Gu, Zhiyuan (1); Yuan, Yiwen (1); Lü, Jinqing (1)
Author affiliation: (1) College of Engineering, Northeast Agricultural University, Harbin; 150030, China
Corresponding author: Lü, Jinqing(ljq8888866666@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 32-42 and 64
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to solve the problems of high resistance, shallow depth of soil return and easy mixing of wet and dry soil of potato sowing trencher under high speed operation conditions, the streamline curve of yellowfin tuna mandible was used. The horizontal linear element method was used, which can reconstruct the original curve into a three-dimensional surface. A curved grooving device imitating the curve of yellowfin tuna jaw was adopted, which could be adapted to the agronomic requirements of potato planting depth. When the maximum operating depth was 150 mm, the sliding cutting principle was adopted, which can determine the maximum cutting edge angle of 132° and the element line angle of 27°. In order to explore the influence of soil lifting angle on the operating performance of the trencher, the operating resistance was taken as the evaluation index, and the single factor test was carried out, which determined that the soil lifting angle of the soil slat was 45°. The length of the upper retaining plate was determined by analyzing the relative displacement of the seed potato when it fell to the surface. The simulation test of dry and wet soil showed that the operation of trencher did not disturb the sequence of soil layers. Compared with the core type furrow opener and the boot type furrow opener, the average operating resistance of the curved type furrow opener was reduced by 18.3% and 33.4%, and the average returning depth was increased by 70.4% and 91.7% under the conditions of furrow depth of 100 mm, 125 mm and 150 mm and operating speed of 3.6 km/h, 5.4 km/h and 7.2 km/h. The field performance comparison experiment showed that the soil moisture content of the curved trench opener was increased by 3.5% and 4.7% compared with that of the core-share trench opener and the boot trench opener, and the curved trench opener could reduce the mixing of wet and dry soil under the condition of the trench depth of 150 mm and the operating speed of 7.2 km/h. Compared with the core type furrow opener and the boot type furrow opener, the transverse migration coefficient of potato planting with curved surface furrow opener can be reduced by 9.5% and 10.1%, which can meet the agronomic requirements of potato planting furrow opener. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 31
Main heading: Soil moisture
Controlled terms: Bionics? - ?Compressive strength? - ?Mixing? - ?Trenching
Uncontrolled terms: Bionic? - ?Curved surfaces? - ?Dry and wet? - ?Dry soil? - ?Furrow openers? - ?Plantings? - ?Potato? - ?Reconstruct surface? - ?Wet soil? - ?Yellowfin tuna
Classification code: 461.1 Biomedical Engineering? - ?483.1 Soils and Soil Mechanics? - ?619.1 Pipe, Piping and Pipelines? - ?802.3 Chemical Operations
Numerical data indexing: Percentage 1.01E+01%, Percentage 1.83E+01%, Percentage 3.34E+01%, Percentage 3.50E+00%, Percentage 4.70E+00%, Percentage 7.04E+01%, Percentage 9.17E+01%, Percentage 9.50E+00%, Size 1.00E-01m, Size 1.25E-01m, Size 1.50E-01m, Size 3.60E+03m, Size 5.40E+03m, Size 7.20E+03m
DOI: 10.6041/j.issn.1000-1298.2021.12.004
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
36. Development of Automatic Depth Control System Employed in Potato Harvester
Accession number: 20220211449020
Title of translation:
Authors: Li, Tao (1); Li, Na (1); Liu, Cungen (2); Zhu, Zhengbo (1); Zhou, Jin (1); Zhang, Hua (1)
Author affiliation: (1) Shandong Academy of Agricultural Machinery Sciences, Ji’nan; 250100, China; (2) School of Information and Electrical Engineering, Shandong Jianzhu University, Ji’nan; 250101, China
Corresponding author: Zhu, Zhengbo(735507858@qq.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 16-23
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In order to improve the automation level of potato harvesting machinery, improve the potato obvious rate and reduce the injury rate and undug rate, with the traction-type potato harvester as the carrier, an automatic depth control system designed. Sensor and microprocessor control technology was used. The system included the front profiling device, the digging mechanism, the hydraulic device and the control system. Using the excavation depth real-time adjustment algorithm, the excavation depth adjustment model was established, and the precise control of the harvester excavation depth was effectively realized, and the harvest performance index of potato crops was improved. Finally, test was carried out to verify the effectiveness of the automatic depth control system. According to the growth depth of sweet potato, the initial excavation depth was 260 mm. The machine harvested six ridges with automatic depth control device and six ridges without the device. Harvest trials were performed interlaced and a total of 12 ridges were harvested for comparative test, and the harvest speed was 1.4~1.6 m/s. The test results showed that with manual depth control the average potato obvious rate was 95.17%, the average injury rate was 2.90% and the average undug rate was 3.59%. With the automatic depth control the average potato obvious rate was 97.37%, the average injury rate was 1.49%, and the average undug rate was 1.59%. Through comparison, it can be seen that after the use of automatic depth control device in the harvest process, the average potato obvious rate was increased by 2.20 percentage points, the average injury rate was decreased by 1.41 percentage points, and the average undug rate was decreased by 2.00 percentage points. Harvest performance indicators exceeded the qualified value requirements. It can be seen that after the 4UGS2 double row potato harvester was installed with the automatic deep control device, it can change the excavation depth according to the change of the bottom of the ridge. The harvester can improve its operation performance index, reduce the loss in the harvest process, and thus increase the economic benefits. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 25
Main heading: Excavation
Controlled terms: Automation? - ?Control systems? - ?Harvesters? - ?Harvesting
Uncontrolled terms: Automatic depth controls? - ?Automation levels? - ?Control device? - ?Depth control system? - ?Excavation depth? - ?Injury rate? - ?Percentage points? - ?Performance indices? - ?Potato harvesters? - ?Sensor control
Classification code: 731 Automatic Control Principles and Applications? - ?731.1 Control Systems? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods
Numerical data indexing: Size 2.60E-01m, Velocity 1.40E+00m/s to 1.60E+00m/s, Percentage 1.49E+00%, Percentage 1.59E+00%, Percentage 2.90E+00%, Percentage 3.59E+00%, Percentage 9.517E+01%, Percentage 9.737E+01%
DOI: 10.6041/j.issn.1000-1298.2021.12.002
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
37. Design and Experiment of Rotary Feed Tube Hammer Grinder
Accession number: 20220211449135
Title of translation:
Authors: Fan, Guoqiang (1, 2); Wang, Zhongyu (1, 2); Wang, Baoxing (1, 2); Wang, Jinxing (1, 2); Dong, Heyin (3, 4); Han, Jian (3, 4)
Author affiliation: (1) College of Mechanical and Electrical Engineering, Shandong Agricultural University, Tai’an; 271018, China; (2) Shandong Provincial Intelligent Engineering Laboratory of Agricultural Equipment, Tai’an; 271018, China; (3) Taian Yimeite Machinery Co., Ltd., Xintai; 271215, China; (4) Taian Animal Husbandry Intelligent Equipment Industry Technology Research Institute, Xintai; 271215, China
Corresponding authors: Wang, Jinxing(jinxingw@163.com); Wang, Jinxing(jinxingw@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 43-53 and 76
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Due to the lack of efficient forage grinders in China’s animal husbandry industry, a rotary feed tube hammer grinder was designed, and the theoretical model of grinding and rotating feed was established. The key parameters, such as hammer size and shape of, rotation radius, grinding speed, throwing distance, conveying capacity, feeding speed and the length of particles were designed and calculated. EDEM was used to simulate the key factors such as the grinding speed, hammer numbers, tool clearance and discharging angle to grind Leymus chinensis. Analysis result showed that with the increase of the grinding speed, the increase of the hammer number, and the decreases of the tool clearance, the particle size was decreased, the grinding torque was firstly decreased and then increased, and the particle throwing distance was increased first and then decreased. With the increase of the discharging angle, the particle throwing distance was increased first and then decreased. The optimal grinding parameters of Leymus chinensis obtained by simulation were the grinding speed of 1 500 r/min, the hammers number of 24, the tool clearance of 22 mm, and the discharging angle of 20°. Leymus chinensis was taken for grinding test, and the test results were basically consistent with the simulation analysis. When the rotating speed of tube was 8 r/min, the grinding efficiency of compacted Leymus chinensis was 25 m3/h. The single-person working efficiency was more than 12 times of that of the chaff cutter, and the single-machine working efficiency was more than three times of that of the chaff cutter. The wall-breaking rate of Leymus chinensis particles was greater than 90%, and the rubbing effect was good. The diameter of particles was ranged from 0.1 mm to 1.2 mm, with an average diameter of 0.65 mm. The particle length was distributed in the range of 16 mm to 157 mm, the average length was 47 mm, and the throwing distance was 11 m. The feeding effect of the grinded Leymus chinensis was better, and the design goal was completed. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 22
Main heading: Hammers
Controlled terms: Efficiency? - ?Grinding (machining)? - ?Grinding mills? - ?Particle size? - ?Particle size analysis? - ?Speed
Uncontrolled terms: Animal husbandry? - ?Grinding speed? - ?Kneading? - ?Leymus chinensi grinder? - ?Leymus chinensis? - ?Rotary feed tube? - ?Theoretical modeling? - ?Throwing distances? - ?Wall-disruption? - ?Working efficiency
Classification code: 604.2 Machining Operations? - ?605.2 Small Tools, Unpowered? - ?913.1 Production Engineering? - ?951 Materials Science
Numerical data indexing: Angular velocity 1.336E-01rad/s, Angular velocity 8.35E+00rad/s, Percentage 9.00E+01%, Size 1.00E-04m to 1.20E-03m, Size 1.10E+01m, Size 1.60E-02m to 1.57E-01m, Size 2.20E-02m, Size 2.50E+01m, Size 4.70E-02m, Size 6.50E-04m
DOI: 10.6041/j.issn.1000-1298.2021.12.005
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
38. Spatial Differentiation Pattern and Influencing Factors of Cultivated Land Quality in Jinzhong City
Accession number: 20220211448901
Title of translation:
Authors: Liu, Huifang (1); Bi, Rutian (1); Guo, Yonglong (1); Wang, Jin (1)
Author affiliation: (1) College of Resource and Environment, Shanxi Agricultural University, Taigu; 030801, China
Corresponding author: Bi, Rutian(brt@sxau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 216-224 and 289
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The analysis of spatial differentiation pattern of quality of cultivated land is of practical significance in improving the effectiveness of cultivated land protection. Taking 2 794 administrative villages in Jinzhong City as a research unit, the 2017 evaluation results of quality of cultivated land in Jinzhong City was used, and means such as cumulative distribution function, spatial autocorrelation, geographic detector and GIS fractional analysis were adopted to analyze the features of spatial differentiation pattern of cultivated land in Jinzhong City, the influence of 16 factors on quality of cultivated land as well as their interaction. It was concluded that the distribution of cultivated land presented “gradient decline”, which meant that the area of cultivated land in Jinzhong City was decreased from the western plain to the eastern mountainous region; the quality of cultivated land in Jinzhong City tended to aggregate in the low-value range, and it showed significant positive correlation aggregation in space, in which the HH type of cultivated land were mainly distributed in the north and west of Jinzhong City, while the LL type were mainly distributed in the southeast and southwest. The aggregation type kept spatial consistency with the distribution of national economic index value. The spatial differentiation pattern of quality of cultivated land was closely related to the influencing factors, which was a result of interaction of multi-factors. In the whole region, natural factors may greatly contribute to the spatial variation of quality of cultivated land in Jinzhong City. The driving force of two-factor interaction was stronger than that of single-factor interaction, and the type of interaction was mainly of nonlinear enhancement. In consideration of the spatial variation features of quality of cultivated land, Jinzhong City was divided into three areas: the high-quality area, the mid-quality area and the low-quality area. For the high-quality area, the main factors were the thickness of effective soil layer as well as the field flatness, and it was driven by both natural factors and engineering factors. For the mid-quality area, the main factors were the thickness of effective soil layer, the agricultural machinery input and the irrigation guarantee rate, and it was driven by the combined factors. For the low-quality area, the main factors were landform, slope, field distance, irrigation guarantee rate and the field flatness, and it was driven by the combined factors. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 29
Main heading: Land use
Controlled terms: Aggregates? - ?Crops? - ?Distribution functions? - ?Factor analysis? - ?Irrigation? - ?Landforms? - ?Quality control? - ?Soils? - ?Spatial variables measurement
Uncontrolled terms: Cultivated land qualities? - ?Cultivated lands? - ?Geographical detector? - ?High quality? - ?Influencing factor? - ?Jinzhong city? - ?Low qualities? - ?Natural factors? - ?Spatial differentiation? - ?Spatial variations
Classification code: 403 Urban and Regional Planning and Development? - ?406 Highway Engineering? - ?412.2 Concrete Reinforcements? - ?481.1 Geology? - ?483.1 Soils and Soil Mechanics? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?913.3 Quality Assurance and Control? - ?922.1 Probability Theory? - ?922.2 Mathematical Statistics? - ?943.2 Mechanical Variables Measurements
DOI: 10.6041/j.issn.1000-1298.2021.12.023
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
39. Devices for Rapeseed Direct Seeder on Tracked Combined Harvesting Power Platform
Accession number: 20220211449043
Title of translation:
Authors: Liao, Qingxi (1, 2); He, Kun (1); Wan, Xingyu (1); Yuan, Jiacheng (1); Wang, Chang (1); Wei, Guoliang (1)
Author affiliation: (1) College of Engineering, Huazhong Agricultural University, Wuhan; 430070, China; (2) Key Laboratory of Agricultural Equipment in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan; 430070, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 54-64
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: There exists a large amount of rice straws before rapeseed planting operation in the middle and lower reaches of the Yangtze River due to the special rice-rapeseed rotation farming system, making it hard for conventional planter to operate all the planting process in one time, even the slipping and sinking of the tractor will happen if the moisture content of the soil is high. On the other hand, the combine harvester, which has better passing ability, stays idle after harvesting, leading to a relatively low utilization rate. As a solution, a planting scheme that can simultaneously realize rice harvesting and rapeseed planting was put forward, and a rapeseed direct seeder on tracked combined harvesting power platform was designed. During the operation, the straws would be collected by the harvester platform in advance while the rotary tillage and planting process would be conducted by the planter behind the harvester. The combine planter could complete all the processes like the straw return, seedbed rotary tillage, seedbed furrowing and seed covering in one time without any pretreatment of the rice straws in the field. In more detail, the grail-mounted suspension lifting system was designed, and the static analysis was carried out based on ANSYS Workbench and Matlab optimization toolbox. In addition, the strength of the suspension lifting system was verified and the chain drive parameters were optimized to determine the structure and parameters of key components. Furthermore, the longitudinal stability of the planter was analyzed, and the reserve utilization coefficient of longitudinal stability was 0.198 which was in line with the requirements of tracked unit quality configuration. At last, the field experiment was conducted. The tillage depth stability, soil fragmentation rate, qualified rate of rotary tillage layer depth, passability and work stability were considered to be the indicators. Under the working conditions of straw retention and high soil moisture content, the results indicated that the passability and work stability of the planter were better when the working speed, engine speed and fan speed were 0.6 m/s, 2 000 r/min and 3 500 r/min, respectively. The stability coefficient of tillage depth and the qualified rate of rotary tillage layer depth were both over 90%, and the soil fragmentation rate was 83.7%, which could meet the agronomic requirements of rapeseed planting directly on the surface of rice after harvesting in rice-rapeseed crop rotation areas. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 30
Main heading: Oilseeds
Controlled terms: Harvesters? - ?Harvesting? - ?Moisture determination? - ?Soil moisture? - ?Stability? - ?Suspensions (components)
Uncontrolled terms: Combine harvesters? - ?Lifting systems? - ?One-time? - ?Plantings? - ?Process solutions? - ?Rapesed direct seede? - ?Rice straws? - ?Rotary tillages? - ?Suspension lifting system? - ?Tracked combine harvester
Classification code: 483.1 Soils and Soil Mechanics? - ?601.2 Machine Components? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?944.2 Moisture Measurements
Numerical data indexing: Angular velocity 0.00E00rad/s, Angular velocity 8.35E+00rad/s, Percentage 8.37E+01%, Percentage 9.00E+01%, Velocity 6.00E-01m/s
DOI: 10.6041/j.issn.1000-1298.2021.12.006
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
40. Design and Experiment of Double Roller Differential Speed Crushing Fertilizer Device for Block Organic Fertilizer
Accession number: 20220211447945
Title of translation:
Authors: Chen, Guibin (1, 2); Wang, Qingjie (1, 2); Li, Wenying (1, 2); He, Jin (1, 2); Li, Hongwen (1, 2); Yu, Changchang (1, 2)
Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, Beijing; 100083, China
Corresponding authors: Wang, Qingjie(wangqingjie@cau.edu.cn); Wang, Qingjie(wangqingjie@cau.edu.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 65-76
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming at the problems that organic fertilizer is easy to agglomerate in long-term piling up and the existing fertilizer apparatus has poor crushing effect on block organic fertilizer, which is not conducive to mechanized deep construction and difficult to apply fertilizer by strip in farmland. The fertilization method of crushing organic fertilizer by roller differential extrusion was put forward to improve the crushing rate of farm manure, ensure the quality rate of fertilizer and improve the utilization rate of fertilizer. The fertilizer block can be broken and forced to discharge which can be realized at the same time by the relative rotation of the fertilizing roller. By building a test of roll differential extrusion fertilizer apparatus, the key parts of fertilization roller were designed, including tooth roller, tooth profile and roller tooth arrangement, force analysis model of fertilizer fragmentation and the theoretical model of fertilizer amount were set up and the main factors affecting crushing force and key parameters affecting fertilizer amount were got, and then the influence law was produced. A discrete element model of fertilizer fragmentation was built to clarify the rotation speed of upper and lower fertilizing roller of fertilization device and the height difference of the center of fertilization roller and effect of fertilizer amount on crushing rate. The orthogonal rotation experiment of multiple factors was designed to optimize the operation performance parameters of the fertilizer device. The results showed that the rotation speed of the top fertilization roller was 238 r/min, the rotation speed of the lower fertilization roller was 374 r/min, the height difference between the two fertilization rollers was 71 mm, the crushing rate was 80.3%, and the fertilizer dropping rate was 99.2%. In the validation test, four kinds of organic fertilizer with water content ranging from 8% to 40% were selected to verify the optimized parameters. The results showed that the crushing rate was 90.7%, 80.8%, 79.6% and 76.9% and the fertilizer discharge rate was 95.6%, 97.8%, 98.2% and 98.6%, respectively. The average error between the results and the optimized results was 4.66% and 1.66%, respectively. The experimental results showed that the roller differential block type fertilizer applicator had high quality of broken fertilizer. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Fertilizers
Controlled terms: Crushing? - ?Extrusion? - ?Rollers (machine components)? - ?Rotation? - ?Speed
Uncontrolled terms: Crushing rates? - ?Fertilisation? - ?Force analysis? - ?Key parts? - ?Organic fertilizers? - ?Relative rotation? - ?Roller differential speed? - ?Rotation speed? - ?Tooth profile? - ?Utilization rates
Classification code: 601.2 Machine Components? - ?804 Chemical Products Generally? - ?821.2 Agricultural Chemicals? - ?931.1 Mechanics
Numerical data indexing: Percentage 8.03E+01%, Percentage 8.08E+01%, Percentage 9.07E+01%, Percentage 9.56E+01%, Percentage 9.78E+01%, Percentage 9.82E+01%, Percentage 9.86E+01%, Percentage 9.92E+01%, Size 7.10E-02m, Angular velocity 3.9746E+00rad/s, Angular velocity 6.2458E+00rad/s, Percentage 1.66E+00%, Percentage 4.66E+00%, Percentage 7.69E+01%, Percentage 7.96E+01%, Percentage 8.00E+00% to 4.00E+01%
DOI: 10.6041/j.issn.1000-1298.2021.12.007
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
41. Structural Design and Performance Test of Telescopic Micro-sprinkler Irrigation and Ceramic Infiltration Irrigation Complementary Device
Accession number: 20220211447992
Title of translation:
Authors: Zhu, Delan (1, 2); Zhang, Rui (1, 2); Zhao, Hang (1, 2); Ge, Maosheng (1, 2); Cheng, Qi (1, 2); Cai, Yaohui (3)
Author affiliation: (1) College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling; 712100, China; (2) Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling; 712100, China; (3) Institute of Soil and Water Conservation, Northwest A&F University, Yangling; 712100, China
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 162-170
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: In view of the obvious differences in root depth, irrigation time and irrigation amount between crops and fruit trees in agroforestry, it is difficult to take into account the irrigation problems of deep roots of fruit trees and shallow roots of interplanting crops by traditional single irrigation method. In order to achieve efficient irrigation of deep and shallow roots, a complementary device of micro-sprinkler irrigation and ceramic infiltration irrigation based on water pressure control was developed. On the basis of the overall structure design of the device, the optimal configuration of the three core components: ceramic subsurface irrigation pressure converter, micro-sprinkler pressure converter and telescopic device was focused. The hardness (70 HA) and thickness (1.5 mm) of the elastic diaphragm in the ceramic subsurface irrigation pressure converter were optimized through the full test of two factors and six levels. Under this condition, the working pressure range of underground irrigation can be 0.015~0.055 MPa, and the flow rate was 10 L/h. Based on the structure design of the micro sprinkler pressure converter, the spring stiffness coefficient was 1 500 N/m, which can ensure that the micro nozzle did not spray water under low pressure (less than 0.066 MPa). The critical elongation pressure of the telescopic device was 0.066 MPa, which was consistent with the test results: when the water pressure reached 0.066 MPa, the telescopic pipe began to extend. When it was 0.15 MPa, the telescopic pipe rose to the highest point, and the micro nozzle started to work stably. On the basis of the above, the physical model of the micro-sprinkler irrigation and ceramic infiltration irrigation complementary device was made, and the performance test was carried out according to the national standards, and the model was applied in the greenhouse, the results showed that the device with 0.066 MPa water pressure as the boundary, the deep roots of fruit trees were irrigated by low-pressure ceramic infiltration irrigation, and shallow roots were irrigated by high-pressure micro sprinkler irrigation. The complementary irrigation function was good, and the measured soil moisture content met the design expectations. The research result can provide an effective solution for efficient irrigation of deep and shallow roots in agroforestry. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 33
Main heading: Orchards
Controlled terms: Crops? - ?Forestry? - ?Fruits? - ?Infiltration? - ?Nozzle design? - ?Soil moisture? - ?Spray nozzles? - ?Sprinkler systems (irrigation)? - ?Structural design? - ?Working pressure
Uncontrolled terms: Agroforestry? - ?Ceramic infiltration irrigation? - ?Ceramic subsurface irrigation pressure converter? - ?Deep roots? - ?Fruit trees? - ?Micro-sprinkler irrigation? - ?Micro-sprinkler pressure converter? - ?Performance tests? - ?Sprinkler irrigation? - ?Water pressures
Classification code: 408 Structural Design? - ?408.1 Structural Design, General? - ?483.1 Soils and Soil Mechanics? - ?631.1 Fluid Flow, General? - ?714.2 Semiconductor Devices and Integrated Circuits? - ?821.0 Woodlands and Forestry? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?931.1 Mechanics
Numerical data indexing: Pressure 1.50E+04Pa to 5.50E+04Pa, Pressure 1.50E+05Pa, Pressure 6.60E+04Pa, Size 1.50E-03m, Surface tension 5.00E+02N/m, Volume 1.00E-02m3
DOI: 10.6041/j.issn.1000-1298.2021.12.017
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
42. Effect of Water and Nitrogen Coupling on Rice Yield and Nitrogen Absorption and Utilization in Black Soil
Accession number: 20220211447927
Title of translation:
Authors: Qin, Ziyuan (1, 2); Zhang, Zhongxue (1, 2); Sun, Di (1, 2); Song, Jian (1, 2); Zhang, Zuohe (3); Li, Tiecheng (1, 2)
Author affiliation: (1) School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin; 150030, China; (2) Key Laboratory of Effective Utilization of Agricultural Water Resources, Ministry of Agriculture and Rural Affairs, Northeast Agricultural University, Harbin; 150030, China; (3) College of Agriculture and Hydraulic Engineering, Suihua University, Suihua; 152061, China
Corresponding authors: Zhang, Zhongxue(zhangzhongxue@163.com); Zhang, Zhongxue(zhangzhongxue@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 324-335 and 357
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 different water and nitrogen coupling models on rice yield formation and nitrogen absorption and utilization in black soil area, three irrigation models, i.e., conventional flooded irrigation (F), shallow wet irrigation (W) and controlled irrigation (C), and four nitrogen application levels, i.e., 0 kg/hm2, 85 kg/hm2, 110 kg/hm2 and 135 kg/hm2 (N0, N1, N2, N3), were set up in the experiment. The effects of different water and nitrogen coupling models on dry matter, yield, nitrogen uptake and transport, water and nitrogen use efficiency of rice were studied. The results showed that under conventional flooded irrigation and shallow wet irrigation, dry matter accumulation was increased with the increase of nitrogen application rate, while under controlled irrigation, dry matter accumulation was firstly increased and then decreased with the increase of nitrogen application rate. The nitrogen accumulation in different organs of rice shoot was increased with the increase of nitrogen application rate. With the same nitrogen application level, the nitrogen accumulation in leaves, stem sheaths, and panicle of the controlled irrigation mode was increased by 27.80%~43.42%, 18.32%~24.97% and 13.85%~24.25% compared with conventional flooded irrigation, which was increased by 0.96%~13.18%, 10.73%~12.86% and 10.53%~12.61% compared with shallow wet irrigation. Under the three irrigation modes, the dry matter and nitrogen accumulation rates of rice shoot were increased with the increase of nitrogen application rate, and the controlled irrigation mode was higher than shallow wet irrigation and conventional flooded irrigation mode, and the initial peak of dry matter and nitrogen accumulation was advanced with the increase of nitrogen application rate. The peak time of the average nitrogen accumulation rate was 11.39 d earlier than that of the average dry matter accumulation rate. Compared with conventional flooded irrigation and shallow wet irrigation, controlled irrigation was more beneficial to increase rice yield, and CN2 treatment had the highest yield, which was 10 272.57 kg/hm2. The controlled irrigation model significantly improved the agronomic N use efficiency and partial factor productivity of N. Under the same irrigation mode, the nitrogen transport rate in leaves and stem sheaths and the contribution rate of nitrogen transport in panicle were decreased with the increase of nitrogen application rate. There were significant positive correlations between rice yield and irrigation water use efficiency (IWUE), water use efficiency (WUE), agronomic N use efficiency and 100 kg grain nitrogen uptake(P ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 31
Main heading: Nitrogen
Controlled terms: Efficiency? - ?Floods? - ?Irrigation? - ?Nitrogen fertilizers? - ?Plants (botany)? - ?Productivity? - ?Soils? - ?Water absorption
Uncontrolled terms: Black soil? - ?Black soil area? - ?Controlled irrigations? - ?Nitrogen absorption? - ?Nitrogen application rates? - ?Nitrogen utilization? - ?Rice? - ?Rice yield? - ?Water and nitrogen coupling? - ?Yield
Classification code: 483.1 Soils and Soil Mechanics? - ?802.3 Chemical Operations? - ?804 Chemical Products Generally? - ?821.2 Agricultural Chemicals? - ?821.3 Agricultural Methods? - ?913.1 Production Engineering
Numerical data indexing: Mass 0.00E00kg, Mass 1.00E+02kg, Mass 1.10E+02kg, Mass 1.35E+02kg, Mass 2.00E+00kg, Mass 2.7257E+02kg, Mass 8.50E+01kg, Percentage 1.053E+01%, Percentage 1.073E+01%, Percentage 1.261E+01%, Percentage 1.286E+01%, Percentage 1.318E+01%, Percentage 1.385E+01%, Percentage 1.832E+01%, Percentage 2.425E+01%, Percentage 2.497E+01%, Percentage 2.78E+01%, Percentage 4.342E+01%, Percentage 9.60E-01%
DOI: 10.6041/j.issn.1000-1298.2021.12.034
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
43. Severity Estimation of Wheat Leaf Diseases Based on RSTCNN
Accession number: 20220211448980
Title of translation: RSTCNN
Authors: Bao, Wenxia (1); Lin, Ze (1); Hu, Gensheng (1); Liang, Dong (1); Huang, Linsheng (1); Yang, Xianjun (2)
Author affiliation: (1) National Engineering Research Center for Agro-ecological Big Data Analysis and Application, Anhui University, Hefei; 230601, China; (2) Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei; 230031, China
Corresponding author: Yang, Xianjun(xjyang@iim.ac.cn)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 242-252 and 263
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Accurately estimating the severity of wheat leaf diseases can reduce planting costs and agricultural ecological environment pollution by the targeted application of pesticides, and contribute to the precise prevention and control of diseases in wheat field, while reducing the cost of the pesticide and the pollution of agricultural ecological environment. The stripe rust and powdery of wheat leaves were taken as the research object. For the problems of small differences in color and texture characteristics of images with different severities of the same diseases, and low classification accuracy of traditional methods, an improved convolutional neural network was proposed based on recurrent spatial transform (Recurrent spatial transformer convolutional neural network, RSTCNN), which was conductive for severity assessment of wheat leaf diseases. RSTCNN consisted of three scale networks which were connected by regional detection sub-networks. In each scale network, VGG19 was used as the basic classification sub-network to extract the disease features. Furthermore, in order to fix the dimensions of the front and behind feature maps in the region detection process, the spatial pyramid pooling (SPP) was introduced before the fully connected layer. Spatial transform (ST) was used by region detection sub-network to effectively extract the attention region of the upper scale network feature map. The feature map of the disease image obtained by the convolutional pooling layer can be used as a key for predicting the category probability of the severities at multiple scales. Besides, ST were performed for the detection of region attention to serve as the input of the next scale network. The joint optimization and recursive learning of attention region detection and local fine-grained feature representation were carried out by means of alternating promotion. Finally, the output features of the different scale networks were merged, and then incorporated into the fully connected layer and the Softmax layer for classification, so as to realize the estimation of wheat leaf disease severity. The disease dataset of wheat leaf images with stripe rust and powdery mildew was built by data enhancement methods. Through experiments, results were found that the improved RSTCNN had a better accuracy in estimating the severity of network fused at three layer scales, reaching an accuracy of 95.8%. Compared with the basic classification network model, the accuracy rates were increased by 7~9 percentage points, which effectively enhanced the classification ability of the disease areas in the images. Compared with traditional machine learning algorithms based on color and texture features, the accuracy rates of RSTCNN were improved by 9~20 percentage points. The results showed that the proposed method significantly improved the estimation accuracy of wheat leaf disease severities. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 38
Main heading: Convolutional neural networks
Controlled terms: Agriculture? - ?Convolution? - ?Disease control? - ?Feature extraction? - ?Image enhancement? - ?Learning algorithms? - ?Multilayer neural networks? - ?Pesticides? - ?Pollution control? - ?Recurrent neural networks ? - ?Textures
Uncontrolled terms: Convolutional neural network? - ?Feature map? - ?Leaf disease? - ?Recurrent spatial transformer convolutional neural network? - ?Region detection? - ?Severity estimation? - ?Spatial transform? - ?Subnetworks? - ?Wheat? - ?Wheat leaves
Classification code: 716.1 Information Theory and Signal Processing? - ?723.4.2 Machine Learning? - ?803 Chemical Agents and Basic Industrial Chemicals? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control
Numerical data indexing: Percentage 9.58E+01%
DOI: 10.6041/j.issn.1000-1298.2021.12.026
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
44. Design and Experiment of Fuzzy Adaptive Pure Pursuit Control of Crawler-type Rape Seeder
Accession number: 20220211448658
Title of translation:
Authors: Zhang, Chaoyu (1, 2); Dong, Wanjing (1, 2); Xiong, Ziqing (1, 2); Hu, Ziqian (1, 2); Wang, Denghui (1, 2); Ding, Youchun (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
Corresponding authors: Ding, Youchun(kingbug163@163.com); Ding, Youchun(kingbug163@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 105-114
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: The automatic navigation system of agricultural machinery is based on the navigation control system and is equipped with an autonomous operation controller to realize land farming with less human intervention. Aiming to solve the problems that the large agricultural machineries are inconvenient to transport in small fields of hilly areas, inefficient to operate, and restricted to change direction, a set of automatic navigation operation system was constructed with a light and simple crawler-type rape seeder and Beidou RTK. This system was composed of sensing device, walking module, control module and a seeding module. According to the requirements of sowing operation, the automatic operation control strategy was designed by using finite state machine. The crawler-type rape seeder was divided into four states: non-seeding state, seeding state, steering state and completed operation state, and the state transformation was carried out by judging different paths, and the seeding operation was coordinated. The automatic navigation operation not only required vehicle coordination and planter control to achieve accurate sowing operation, but also required navigation controller with high control precision and strong adaptability. Therefore, a fuzzy adaptive pure pursuit controller based on kinematic model and geometric model was designed for light and simple tracked vehicles. A small forward looking distance would make the vehicle approach the target path quickly with large curvature, and it would also cause vehicle oscillation. A large forward looking distance would make the vehicle approach the target path slowly with small curvature. Although the vehicle would not oscillate, the settling time was long. The forward looking distance can be adjusted adaptively by using the fuzzy control method. The lateral deviation, heading deviation and speed were used as the inputs of the fuzzy controller, and the forward looking distance was used as the output of the fuzzy controller. The input and output were fuzzified and fuzzy rules were established through test simulation. The simulation and field comparative test results of fuzzy adaptive pure pursuit controller and pure pursuit controller showed that compared with the pure pursuit controller, the fuzzy adaptive pure pursuit navigation controller had the characteristics of short rise time and small overshoot. The road test results showed that when the speed of the crawler-type rape seeder was 0.8 m/s, the maximum tracking deviation of the fuzzy adaptive pure pursuit controller was 0.039 m and the average absolute deviation was 0.018 m. When the forward speed of the dry field road was 0.5 m/s, 0.8 m/s and 1.2 m/s, respectively, the maximum tracking deviations of linear navigation tracking were not more than 0.082 m, 0.086 m and 0.092 m. The average absolute deviations were not more than 0.031 m, 0.032 m and 0.034 m. The experimental data of the automatic navigation operation system showed that the designed navigation controller had a stable ability of linear tracking. It can meet the requirements of automatic sowing of rape in small fields of hilly areas, and provide technical support for the construction of unmanned farms in hilly and mountainous areas. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 29
Main heading: Controllers
Controlled terms: Agricultural machinery? - ?Fuzzy control? - ?Fuzzy inference? - ?Kinematics? - ?Navigation systems? - ?Oilseeds? - ?Radio navigation? - ?Tracked vehicles
Uncontrolled terms: Automatic navigation? - ?Crawler types? - ?Crawler-type seede? - ?Finite states machine? - ?Forward looking? - ?Fuzzy adaptive? - ?Fuzzy adaptive pure pursuit control? - ?Hilly areas? - ?Navigation controllers? - ?Pure pursuits
Classification code: 663 Buses, Tractors and Trucks? - ?716.3 Radio Systems and Equipment? - ?721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory? - ?723.4.1 Expert Systems? - ?731 Automatic Control Principles and Applications? - ?732.1 Control Equipment? - ?821.1 Agricultural Machinery and Equipment? - ?821.4 Agricultural Products? - ?931.1 Mechanics
Numerical data indexing: Size 8.60E-02m, Size 9.20E-02m, Velocity 1.20E+00m/s, Velocity 5.00E-01m/s, Velocity 8.00E-01m/s, Size 1.80E-02m, Size 3.10E-02m, Size 3.20E-02m, Size 3.40E-02m, Size 3.90E-02m, Size 8.20E-02m
DOI: 10.6041/j.issn.1000-1298.2021.12.011
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
45. Optimization and Test of Fertilizer Apparatus Based on Granular Fertilizer Movement Model
Accession number: 20220211448999
Title of translation:
Authors: Liu, Xiaodong (1, 2); Hu, Rui (1, 2); Wang, Denghui (1, 2); Lu, Bang (1, 2); Wang, Wanchao (1, 2); Ding, Youchun (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
Corresponding authors: Ding, Youchun(kingbug163@163.com); Ding, Youchun(kingbug163@163.com)
Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery
Abbreviated source title: Nongye Jixie Xuebao
Volume: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 85-95
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: China’s oilseed rape cultivation area is among the highest in the world, with about 6.2 million hectares planted year-round, and 85% concentrated in the Yangtze River Basin rice and oil rotation area, providing an important guarantee for the safety of China’s edible oil supply. Precise and reasonable fertilization is an important way to reduce agricultural production costs, improve the quality and safety of agricultural products and reduce the pressure of environmental pollution. The Central Committee of the Communist Party of China and the State Council pointed out that supporting oilseed rape production in the Yangtze River Basin has presented new challenges and opportunities for chemical fertilizer reduction and precision application during oilseed rape production. On the basis of the spiral disturbance cone centrifugal fertilizer discharger designed in the previous stage, the problem of poor fertilizer discharge performance of the spiral cone centrifugal fertilizer discharger, unclear influence law of each parameter on fertilizer discharge performance and little research on related theories and analytical models was addressed. A model of the movement of granular fertilizer in the fertilizer discharger was established and the main structural parameters and ranges affecting the performance of the fertilizer discharger were determined through theoretical analysis. The EDEM discrete element simulation software was used to carry out a quadratic regression orthogonal rotation combination test. In order to verify the performance of the optimized fertilizer discharger, a fertilizer discharge calibration and performance verification test was carried out based on the optimal combination of parameters of the fertilizer discharger. The test results showed that the variation coefficient of stability of fertilizer discharge volume and the variation coefficient of consistency of fertilizer discharge volume in each row was decreased, with the variation coefficient of stability of the fertilizer discharge volume was no more than 3.12% and the variation coefficient of the consistency of fertilizer discharge volume in each row was no more than 5.29%. The variation coefficient of consistency of fertilizer discharge volume was decreased with the increase of speed of fertilizer discharger, the difference between the rows was small, and variation coefficient of the consistency of fertilizer discharge volume of the rows was no more than 2.05%, indicating that the fertilizer discharger was stable and met the requirements of fertilizer discharge quality. There was an obvious linear relationship between the row fertilizer supply rate and the rotational speed of the fertilizer rower, which provided theoretical support for variable fertilizer application at a later stage. Field tests showed that the variation coefficient of the stability of fertilizer discharge volume was no more than 4.57%, the variation coefficient of the consistency of fertilizer discharge volume in each row was no more than 6.98% and the variation coefficient of the consistency of peer discharge volume was no more than 3.56%, meeting the requirements of the industry standard. The research result can provide a theoretical reference for improving the operational quality of fertilizer dischargers and design of fertilizer dischargers. ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 26
Main heading: Oilseeds
Controlled terms: Agricultural machinery? - ?Centrifugation? - ?Cultivation? - ?Fertilizers? - ?River pollution? - ?Rivers? - ?Software testing? - ?Watersheds
Uncontrolled terms: Centralised? - ?Centralized metering device? - ?Centrifugal? - ?Discharge volume? - ?Fertilizer apparatus? - ?Granular fertilizers? - ?Metering devices? - ?Oil seed rape? - ?Variation coefficient? - ?Yangtze River basin
Classification code: 444.1 Surface Water? - ?453 Water Pollution? - ?723.5 Computer Applications? - ?802.3 Chemical Operations? - ?804 Chemical Products Generally? - ?821.1 Agricultural Machinery and Equipment? - ?821.2 Agricultural Chemicals? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products
Numerical data indexing: Percentage 2.05E+00%, Percentage 3.12E+00%, Percentage 3.56E+00%, Percentage 4.57E+00%, Percentage 5.29E+00%, Percentage 6.98E+00%, Percentage 8.50E+01%
DOI: 10.6041/j.issn.1000-1298.2021.12.009
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
46. Effect of Controlled Drainage on Oil Sunflower Growth and Nutrient Utilization in Hetao Irrigation District
Accession number: 20220211449053
Title of translation:
Authors: Dou, Xu (1, 2); Shi, Haibin (1, 2); Li, Ruiping (1, 2); Miao, Qingfeng (1, 2); Tian, Feng (1, 2); Yu, Dandan (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 authors: Shi, Haibin(shi_haibin@sohu.com); 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: 52
Issue: 12
Issue date: December 25, 2021
Publication year: 2021
Pages: 313-323
Language: Chinese
ISSN: 10001298
CODEN: NUYCA3
Document type: Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery
Abstract: Aiming to systematically reveal the regulatory effects of different drainage methods from the growth of oil sunflowers and the changes in soil moisture, salinity and nutrients, four treatments were set up, i.e., the control drainage depth during the growth period was 40 cm (K1), 70 cm (K2), 100 cm (K3), and the spring irrigation drainage depth was 100 cm. Open ditch drainage(depth 150 cm) was selected as the control treatment (CK), and field trials were carried out. The results showed that the average water storage of 1m soil layer from the flowering period of the oil sunflower to the harvest of K1 treatment was increased by 0.01%~4.53% compared with that of K2 and K3 treatments, which provided effective water for the later stage of crop growth. K1 treatment stabilized the rate of soil water consumption and weakened the difference in soil water consumption in the horizontal direction. After spring irrigation, the average desalination rates of K1, K2, and K3 treatments were 49.02%, 50.43%, and 49.70%, respectively, and there was no significant difference between treatments, but the open ditch drainage was only 35.52%. The desalination rate was inversely proportional to the horizontal distance from the concealed pipe (open ditch). The intermediate point of the concealed pipe drainage treatment and the soil salt leaching effect on the concealed pipe were 7.1~8.2 percentage points, and there was no significant difference between treatments. Salt leaching difference of CK treatment was relatively small, the difference between 0.4 m from the open ditch and the middle point of the open ditch was 2.8 percentage points. In the late growth period (flowering period), the soil salinity return was more serious. In the late growth period (flowering period), different treatments had soil salt return. The average salt return rates of K1, K2, K3, and CK were 28.63%, 24.20%, 20.83%, and 22.07%, respectively. K1 and K2 treatments had relatively high salinity return, but their content did not affect the normal growth of oil sunflower in the later stage. The content of ammonium nitrogen in the control drainage 40 cm (K1) during the budding stage was significantly higher than that of other treatments (P ? 2021, Chinese Society of Agricultural Machinery. All right reserved.
Number of references: 31
Main heading: Nutrients
Controlled terms: Crops? - ?Desalination? - ?Irrigation? - ?Leaching? - ?Soil moisture? - ?Sunflower oil? - ?Water supply
Uncontrolled terms: Controlled-drainage? - ?Drainage depth? - ?Growth period? - ?Irrigation area? - ?Moderately saline soil? - ?Nutrient utilization? - ?Open-ditch? - ?Percentage points? - ?Saline soil? - ?Salinized irrigation area
Classification code: 445.1 Water Treatment Techniques? - ?446.1 Water Supply Systems? - ?483.1 Soils and Soil Mechanics? - ?802.3 Chemical Operations? - ?804.1 Organic Compounds? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?822.3 Food Products
Numerical data indexing: Percentage 7.69E+00%, Size 1.00E00m, Size 1.50E+00m, Size 4.00E-01m, Size 7.00E-01m, Age 1.37E-01yr, Percentage 1.00E-02%, Percentage 1.08E+01%, Percentage 1.114E+01%, Percentage 1.116E+01%, Percentage 1.16E+00%, Percentage 1.362E+01%, Percentage 1.433E+01%, Percentage 1.483E+01%, Percentage 1.487E+01%, Percentage 2.083E+01%, Percentage 2.207E+01%, Percentage 2.246E+01%, Percentage 2.42E+01%, Percentage 2.81E+01%, Percentage 2.863E+01%, Percentage 3.043E+01%, Percentage 3.08E+01%, Percentage 3.552E+01%, Percentage 4.52E+00%, Percentage 4.53E+00%, Percentage 4.59E+01%, Percentage 4.902E+01%, Percentage 4.97E+01%, Percentage 5.043E+01%, Percentage 5.10E+00%, Percentage 5.309E+01%, Percentage 6.29E+00%, Percentage 7.17E+00%
DOI: 10.6041/j.issn.1000-1298.2021.12.033
Compendex references: YES
Database: Compendex
Data Provider: Engineering Village
Compilation and indexing terms, Copyright 2022 Elsevier Inc.
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