农业机械学报

2022年第1期共收录49篇

1. Navigation Technology of Following AGV Based on Multi-sensor Fusion

Accession number: 20220811679460

Title of translation: AGV

Authors: Qian, Xiaoming (1); Huang, Yuxuan (1); Lou, Peihuang (1); Sun, Tian (1)

Author affiliation: (1) College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing; 210016, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 14-22 and 32

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In the current Leader-Follower AGVs cooperative operation, in addition to obtaining environmental information, the positioning and navigation of the following AGV also need to observe the position and attitude of the leading AGV for path tracking, which has higher requirements for accuracy and stability of navigation and location. In order to improve the navigation accuracy of following AGV, an integrated navigation method combining inertial navigation and multi-vision was proposed. Aiming at the problem of multi-sensor data fusion, an optimal pose estimation method based on adaptive unscented Kalman filter was proposed. The output signal of inertial navigation sensor was used to follow the AGV attitude prediction; the path tracking navigation and RGB-D navigation constituted the multi-vision navigation, which was used as the system observation to correct the accumulated offset of inertial navigation. The experimental results showed that the compound navigation scheme had faster convergence speed, more stable path tracking state and formation maintenance.This method improved the real-time performance and robustness of the two AGVs cooperative handling system. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 21

Main heading: Kalman filters

Controlled terms: Air navigation? - ?Inertial navigation systems? - ?Sensor data fusion

Uncontrolled terms: Compound navigation? - ?Cooperative operation? - ?Current leaders? - ?Environmental information? - ?Leader-follower? - ?Multi visions? - ?Multi-AGV coordinated? - ?Multi-sensor fusion? - ?Navigation technology? - ?Path tracking

Classification code: 431.5 Air Navigation and Traffic Control? - ?723.2 Data Processing and Image Processing

DOI: 10.6041/j.issn.1000-1298.2022.01.002

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

2. Spatial Stratified Heterogeneity and Driving Force of Anoplophora glabripennis in North China

Accession number: 20220811679243

Title of translation:

Authors: Liu, Deqing (1, 2); Zhang, Tianyuan (3); Zhang, Xiaoli (1, 2); Zong, Shixiang (1); Huang, Jixia (1, 2)

Author affiliation: (1) Key Laboratory for Silviculture and Conservation, Ministry of Education, Beijing Forestry University, Beijing; 100083, China; (2) Precision Forestry Key Laboratory of Beijing, Beijing Forestry University, Beijing; 100083, China; (3) State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing; 100875, China

Corresponding authors: Huang, Jixia(huangjx@bjfu.edu.cn); Huang, Jixia(huangjx@bjfu.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 215-223 and 369

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Anoplophora glabripennis is widely distributed in China as the main pest of forest trees, and the distribution area is constantly expanding. It is important to study the spatial correlation of insect infestation and analyze the factors that affect its distribution. Using geodetector, the effects of environmental factors on the Anoplophora glabripennis disaster were analyzed. The results showed that the most seriously damaged areas were in the northern part of Shanxi Province, while the incidence rates in Henan, Shandong, and southern Hebei were relatively low. The main meteorological factors affecting the spatial distribution of the incidence rate were precipitation and temperature, and the main social and economic factors were population and regional GDP. The effect of temperature on the value of the first and second industries was significantly different from that of other factors. Economic development had significant positive effect on the control of local insect pests. The interaction detection showed that the combination of any two variables can explain the spatial heterogeneity of Anoplophora glabripennis disaster more effectively. The interpretation ability of incidence rate was increased significantly after interaction between precipitation and control rate. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 34

Main heading: Disasters

Uncontrolled terms: Anoplophora glabripennis? - ?Distribution area? - ?Driving forces? - ?Geodetector? - ?Incidence rate? - ?Insect infestations? - ?North China? - ?Spatial autocorrelations? - ?Spatial correlations? - ?Spatial stratified heterogeneity

DOI: 10.6041/j.issn.1000-1298.2022.01.024

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

3. Densely Connected BiGRU Neural Network Based on BERT and Attention Mechanism for Chinese Agriculture-related Question Similarity Matching

Accession number: 20220811677626

Title of translation: BERT-Attention-DenseBiGRU

Authors: Wang, Haoriqin (1, 2); Wang, Xiaomin (1, 3); Miao, Yisheng (1, 3); Xu, Tongyu (4); Liu, Zhichao (1, 3); Wu, Huarui (1, 3)

Author affiliation: (1) National Engineering Research Center for Information Technology in Agriculture, Beijing; 100097, China; (2) College of Computer Science and Technology, Inner Mongolia Minzu University, Tongliao; 028043, China; (3) Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing; 100097, China; (4) School of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang; 110866, China

Corresponding authors: Wu, Huarui(wuhr@nercita.org.cn); Wu, Huarui(wuhr@nercita.org.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 244-252

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To allow fast and automatic detection of the same semantic agriculture-related questions, a method based on BERT-Attention-DenseGRU (gated recurrent unit) was proposed. According to the agriculture question characteristics, twelve layers of the Chinese BERT model method were applied to process and analyze the text data and compare it with the Word2Vec, Glove, and TF-IDF methods, effectively solving the problem of high dimension and sparse data in the agriculture-related text. Each network layer employed the connection information of features and all previous recursive layers’ hidden features. To alleviate the problem of feature vector size increasing due to dense splicing, an autoencoder was used after dense concatenation. The experimental results showed that agriculture-related question similarity matching based on BERT-Attention-DenseBiGRU can improve the utilization of text features, reduce the loss of features, and achieve fast and accurate similarity matching of the agriculture-related question dataset. The precision and F1 values of the proposed model were 97.2% and 97.6%. Compared with six other kinds of question similarity matching models, a state-of-the-art method with the agriculture-related question dataset was presented. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 37

Main heading: Network layers

Controlled terms: Agriculture? - ?Natural language processing systems? - ?Semantics

Uncontrolled terms: Agriculture-related? - ?Agriculture-related question similarity matching? - ?Attention mechanisms? - ?Coattention mechanism? - ?Densely connected BiGRU? - ?Fast detections? - ?Network-based? - ?Neural-networks? - ?Question-and-answering community? - ?Similarity-matching

Classification code: 723 Computer Software, Data Handling and Applications? - ?723.2 Data Processing and Image Processing? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

Numerical data indexing: Percentage 9.72E+01%, Percentage 9.76E+01%

DOI: 10.6041/j.issn.1000-1298.2022.01.027

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

4. Detection of Walnut Internal Quality Based on X-ray Imaging Technology and Convolution Neural Network

Accession number: 20220811679347

Title of translation: X

Authors: Zhang, Shujuan (1); Gao, Tingyao (1); Ren, Rui (1); Sun, Haixia (1)

Author affiliation: (1) College of Agricultural Engineering, Shanxi Agricultural University, Taigu; 030800, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 383-388

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 export mixed internal quality and not easily to detect of walnuts in China, X-ray imaging technology combined with convolution neural network was proposed to quickly detect the internal quality of walnut. Using X-ray transmittance, X-ray images containing internal information were obtained. Firstly, X-ray images of walnut were preprocessed and data expanded. Then, four transfer learning models, including GoogLeNet, ResNet 101, MobileNet v2 and VGG 19, were used to construct convolutional neural networks to train walnut data sets. The model was analyzed through prediction set accuracy, loss value, test set accuracy and running time, and the model parameters were optimized. Finally, the walnut internal quality detection and sorting system was developed and applied to model verification. The results showed that among the four different transfer learning models, GoogLeNet model had the highest prediction accuracy. When the learning rate of GoogLeNet model was set to 0.001 and the epoch was set to 25, the prediction effect was the best, and the prediction accuracy was 96.67%. The results of system verification showed that the discriminant accuracy of shell walnut reached 100%, and the average discriminant accuracy was 96.39%. The system could realize the non-destructive testing and sorting of walnut internal quality, and provide further theoretical basis and technical reference for the equipment research and development. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Nondestructive examination

Controlled terms: Convolution? - ?Convolutional neural networks? - ?Deep learning? - ?Forecasting? - ?Sorting

Uncontrolled terms: Convolution neural network? - ?Convolutional neural network? - ?Detection system? - ?Internal quality? - ?Learning models? - ?Prediction accuracy? - ?Transfer learning? - ?Walnut? - ?X-ray image? - ?X-ray imaging technologies

Classification code: 461.4 Ergonomics and Human Factors Engineering? - ?716.1 Information Theory and Signal Processing

Numerical data indexing: Percentage 1.00E+02%, Percentage 9.639E+01%, Percentage 9.667E+01%

DOI: 10.6041/j.issn.1000-1298.2022.01.041

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

5. Research Progress on Obtaining Cultivated Land Quality Evaluation Indexes by Remote Sensing

Accession number: 20220811678172

Title of translation:

Authors: Zhang, Chao (1, 2); Gao, Lulu (1); Yun, Wenju (2, 3); Li, Li (1); Ji, Wenjun (1); Ma, Jiani (1)

Author affiliation: (1) College of Land Science and Technology, China Agricultural University, Beijing; 100083, China; (2) Key Laboratory of Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing; 100083, China; (3) Land Consolidation and Rehabilitation Center, Ministry of Natural Resources, Beijing; 100035, China

Corresponding authors: Yun, Wenju(yunwenju@vip.sina.com); Yun, Wenju(yunwenju@vip.sina.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 1-13

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The data acquisition of cultivated land quality index (CLQI) is the basis of cultivated land quality (CLQ) evaluation. Remote sensing (RS) provides a new method for rapid and large-scale monitoring of CLQ data. Firstly, the connotation and function of CLQ were analyzed. On this basis, bibliometric method was used to summarize the research of CLQI in recent five years. Combined with the research status of CLQ and soil quality, CLQI system was established based on RS, which was divided into three dimensions: topographic conditions, soil properties and field utilization status. Secondly, the research status of various index acquisition methods in different dimensions was analyzed, and the commonly used RS analysis methods and corresponding technical principles were summarized. The basic data can be effectively obtained for field slope, field condition, field road accessibility, forest network degree and other indicators, and the large-scale acquisition method of soil properties were needed further research. Finally, aiming at the problems to be solved in RS monitoring of CLQ, the following suggestions and prospects were put forward: mining the remote sensing characteristics of different scales of CLQI; strengthening the research on automatic extraction of remote sensing information of CLQI; and building a remote sensing big data platform for CLQ evaluation, so as to promote the application of RS in CLQ evaluation. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 111

Main heading: Soils

Controlled terms: Data acquisition? - ?Land use? - ?Quality control? - ?Remote sensing

Uncontrolled terms: Cultivated land qualities? - ?Evaluation index? - ?Field utilization status? - ?Quality evaluation? - ?Quality evaluation indices? - ?Quality indices? - ?Remote-sensing? - ?Research status? - ?Soil property? - ?Topographic conditions

Classification code: 403 Urban and Regional Planning and Development? - ?483.1 Soils and Soil Mechanics? - ?723.2 Data Processing and Image Processing? - ?913.3 Quality Assurance and Control

DOI: 10.6041/j.issn.1000-1298.2022.01.001

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

6. Detection Method of Double Side Breakage of Population Cotton Seed Based on Improved YOLO v4

Accession number: 20220811678647

Title of translation: YOLO v4

Authors: Wang, Qiaohua (1, 2); Gu, Wei (1); Cai, Peizhong (1); Zhang, Hongzhou (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: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 389-397

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Computer vision is one of the commonly used technical methods in the field of cotton seed detection. It has been widely used in the field of non-destructive inspection of agricultural products. However, in most cases, it is difficult for researchers to use computer vision to detect small-sized objects such as cotton seeds on both sides. The detection effect is not good. Aiming at this problem, a type of cotton seed detection and sorting device was designed, which used the transparent characteristics of the acrylic plate under strong light and white background to slide the cotton seed into the groove of the transparent acrylic plate through the feeding device. With the rotation of the turntable, the front and back images of the same batch of cotton were collected by two CCD cameras at different positions. The improved YOLO v4 target detection algorithm was used to detect damaged cotton seeds. The experimental results showed that the model established by this method can detect damaged and intact cotton seeds in the population cotton seeds with an accuracy of 95.33%, recall rate of 96.31%, and missed detection rate of 0. The detection effect was better than that of the original YOLO v4 network, respectively. The proposed method realized the identification of the damage of double-sided group cotton seed, and provided technical support for the subsequent research and development of related delinted cotton seed intelligent detection equipment. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: CCD cameras

Controlled terms: Computer vision? - ?Cotton? - ?Damage detection? - ?Image recognition? - ?Nondestructive examination? - ?Object detection

Uncontrolled terms: Acrylic plates? - ?Breakage detection? - ?Cotton seeds? - ?Delinted cotton seed? - ?Detection device? - ?Detection effect? - ?Detection methods? - ?Double CCD camera? - ?Double sides? - ?YOLO v4

Classification code: 714.2 Semiconductor Devices and Integrated Circuits? - ?723.2 Data Processing and Image Processing? - ?723.5 Computer Applications? - ?741.2 Vision? - ?742.2 Photographic Equipment? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 9.533E+01%, Percentage 9.631E+01%

DOI: 10.6041/j.issn.1000-1298.2022.01.042

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

7. Structure and Functional Properties of Soybean Protein Isolate-Dextran Non-covalent Polymer

Accession number: 20220811679319

Title of translation: -

Authors: Zhu, Xiuqing (1); Du, Xiaoqian (1); Hu, Miao (1); Liu, Guannan (1); Qi, Baokun (1); Li, Yang (1, 2)

Author affiliation: (1) College of Food Science, Northeast Agricultural University, Harbin; 150030, China; (2) Heilongjiang Institute of Green Food Science, Harbin; 150023, China

Corresponding authors: Li, Yang(yangli@neau.edu.cn); Li, Yang(yangli@neau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 398-405

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: With the aim to reveal the interaction between soybean protein isolates (SPI) and dextran (Dex) in the mixed system and the effect of dextran concentration (1%, 3%, 5% and 7%) on the structure and functional properties of SPI, fluorescence spectrum, ultraviolet spectrum and Fourier transform infrared spectrum were used to characterize the conformational changes of the SPI-Dex non-covalent polymer, and the effect of dextran concentration on the functional properties of SPI was analyzed through particle size, surface hydrophobicity, turbidity, solubility, emulsification activity, emulsification stability and antioxidant activity. The results showed that SPI and Dex can interact through two non-covalent forces: hydrophobic interaction and hydrogen bond under neutral conditions, thereby changed the structure and functional properties of SPI. The addition of Dex can prevent the exposure of tryptophan and tyrosine residues, and form a tighter tertiary structure compared with SPI alone. When the addition of Dex in the mixed system was less than 5%, with the increase of Dex, the particle size, surface hydrophobicity, and turbidity of SPI-Dex polymer were decreased significantly, and the solubility, emulsification, and antioxidant activity of SPI-Dex polymer were improved significantly. When the concentration of Dex in the mixed system was 5%, the improvement effect on the functional properties of SPI was the most significant, the solubility, emulsifying activity index and antioxidant activity of SPI were increased by 16.35%, 18.71% and 11.30%, respectively. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Ultraviolet spectroscopy

Controlled terms: Amino acids? - ?Antioxidants? - ?Dextran? - ?Emulsification? - ?Hydrogen bonds? - ?Hydrophobicity? - ?Particle size? - ?Proteins? - ?Solubility? - ?Structural properties ? - ?Turbidity

Uncontrolled terms: Antioxidant activities? - ?Functional properties? - ?Mixed systems? - ?Noncovalent? - ?Particles sizes? - ?Protein isolates? - ?Soybean protein isolate? - ?Soybean proteins? - ?Structure property? - ?Surface hydrophobicity

Classification code: 408 Structural Design? - ?741.1 Light/Optics? - ?801.4 Physical Chemistry? - ?802.3 Chemical Operations? - ?803 Chemical Agents and Basic Industrial Chemicals? - ?804 Chemical Products Generally? - ?804.1 Organic Compounds? - ?804.2 Inorganic Compounds? - ?931.2 Physical Properties of Gases, Liquids and Solids? - ?951 Materials Science

Numerical data indexing: Percentage 1.00E00%, Percentage 1.13E+01%, Percentage 1.635E+01%, Percentage 1.871E+01%, Percentage 3.00E+00%, Percentage 5.00E+00%, Percentage 7.00E+00%

DOI: 10.6041/j.issn.1000-1298.2022.01.043

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

8. Motion State Prediction Method of CNC Machine Tools Based on Adaptive Deep Learning

Accession number: 20220811677500

Title of translation:

Authors: Du, Liuqing (1); Li, Xiang (1); Yu, Yongwei (1)

Author affiliation: (1) School of Mechanical Engineering, Chongqing University of Technology, Chongqing; 400054, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 451-458

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The feature relationship of the motion state of CNC machine tools is very complex. Realizing the prediction of the future operation state of CNC machine tools can tap the potential abnormal emergencies of machine tools and enhance the stability of machine tool processing. In view of the problem of poor adaptability and low accuracy of prediction under dynamic label of machine tool state and differential distribution data, an adaptive hybrid deep learning model was established to predict machine tool state by combining time series feature relationship and model fusion method. Firstly, by combining the nearest neighbor classifier, an adaptive updating rule based on weight accumulation was designed, and a state prediction model with data adaptability was established. On this basis, an optimization strategy of feature distance metric based on center loss function was proposed, and a comprehensive decision loss function was constructed to ensure model fusion effectively. Based on a combination convergence criterion, the BBPT method was used to train the model, and the test data was verified. The experimental results showed that the model can adapt dynamic label and differential distribution data. The prediction of the state category of CNC machine tools had strong anti-interference, fast response and high accuracy, and can better meet the requirements of machine tool state classification and prediction. The prediction accuracy and real-time performance were significantly compared with BP and LSTM classification networks, and the shortest prediction time was only 100 ms in GPU mode. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Machine tools

Controlled terms: Computer control systems? - ?Forecasting? - ?Long short-term memory? - ?Nearest neighbor search? - ?Timing circuits

Uncontrolled terms: Adaptive hybrid timing model? - ?CNC machine tools? - ?Deep learning? - ?K-near neighbor algorithm? - ?Loss functions? - ?Model fusion? - ?Motion state? - ?Nearest-neighbor algorithms? - ?State prediction? - ?Timing modeling

Classification code: 603.1 Machine Tools, General? - ?713.4 Pulse Circuits? - ?723.5 Computer Applications? - ?731.1 Control Systems? - ?921.5 Optimization Techniques

Numerical data indexing: Time 1.00E-01s

DOI: 10.6041/j.issn.1000-1298.2022.01.049

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

9. Multi-objective Optimization of Cylinder/Valve-plate Sealing Ring in Axial Piston Pump Based on Genetic Algorithm

Accession number: 20220811677525

Title of translation:

Authors: Ye, Shaogan (1); Ge, Jigang (1); Hou, Liang (1); Mu, Rui (1); Bu, Xiangjian (1)

Author affiliation: (1) Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen; 361021, China

Corresponding author: Hou, Liang(hliang@xmu.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 441-450

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to improve the lubrication performance of the cylinder/valve-plate interface of a small axial piston pump, an oil film lubrication model was established based on the force analysis of the cylinder block. With leakage, cylinder overturning angle and viscous friction torque as the optimization objectives, the structural parameters of the valve-plate seal ring were optimized by multi-objective non-dominated sorting genetic algorithm (NSGA-), including the radial dimensions of valve-plate sealring R1, R2, R3, R4 and the starting angle θ of the waist groove.Considering the micro tilt motion and macro rotation motion of the cylinder block, the dynamic change process of the wedge oil film was simulated.The pressure distribution of the oil film on the cylinder/valve-plate interface was obtained by discretizing the Reynolds equation by the finite volume method. The results showed that the size of the outermost edge of the seal ring had little influence on the lubrication performance of the oil film, while the starting angle of the waist groove and the size of the inner edge of the seal ring had large influence on the overturning angle of the cylinder. After the optimization of the structure of valve plate, the comprehensive lubrication performance of the oil film was improved by 5.4%, and the overturning angle and leakage rate were decreased by 3.8% and 29.6%, respectively. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Multiobjective optimization

Controlled terms: Cylinders (shapes)? - ?Finite volume method? - ?Genetic algorithms? - ?Lubricating oils? - ?Lubrication? - ?Pistons? - ?Plates (structural components)? - ?Seals? - ?Structural optimization

Uncontrolled terms: Axial piston pump? - ?Lubrication models? - ?Lubrication performance? - ?Multi-objective optimization algorithm? - ?Multi-objectives optimization? - ?Oil films? - ?Optimization algorithms? - ?Sealing ring? - ?Valve plates? - ?Valve-plate sealing ring

Classification code: 408.2 Structural Members and Shapes? - ?607.1 Lubricants? - ?607.2 Lubrication? - ?612.1.1 Internal Combustion Engine Components? - ?619.1.1 Pipe Accessories? - ?921.5 Optimization Techniques? - ?921.6 Numerical Methods

Numerical data indexing: Percentage 2.96E+01%, Percentage 3.80E+00%, Percentage 5.40E+00%

DOI: 10.6041/j.issn.1000-1298.2022.01.048

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

10. Prediction of Winter Wheat Yield Based on Fusing Multi-source Spatio-temporal Data

Accession number: 20220811677264

Title of translation:

Authors: Wang, Laigang (1, 2); Zheng, Guoqing (1, 2); Guo, Yan (1, 2); He, Jia (1, 2); Cheng, Yongzheng (1, 2)

Author affiliation: (1) Institution of Agricultural Economy and Information, Henan Academy of Agricultural Sciences, Zhengzhou; 450002, China; (2) Henan Engineering Laboratory of Crop Planting Monitoring and Warning, Zhengzhou; 450002, China

Corresponding authors: Zheng, Guoqing(zgqzx@hnagri.org.cn); Zheng, Guoqing(zgqzx@hnagri.org.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 198-204 and 458

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to improve the prediction accuracy of winter wheat yield in large scale region, taking remote sensing data, meteorological data, soil moisture data of Henan Province from 2005 to 2019 as characteristic variables, the correlation between them and wheat yield was analyzed. The importance of characteristic variables was analyzed based on random forest algorithm. And a wheat yield prediction model was established by means of fusing multi-source spatio-temporal data. The results showed that enhanced vegetation index (EVI), solar-induced chlorophyll fluorescence (SIF) and elevation was an important factor for remote sensing estimation of wheat yield, which was highly positively correlated with wheat yield. The importance of EVI, SIF and elevation to wheat yield exceeded 0.45, far greater than soil moisture, rainfall, maximum temperature, minimum temperature and other factors. The yield prediction model based on random forest algorithm and constructed with the wheat growth stage from October to next May and October to next April as the characteristic variables had higher accuracy, coefficient of determination (R2) were 0.85 and 0.84, and respectively, the root mean square error (RMSE) were 821.55 kg/hm2 and 832.01 kg/hm2. The prediction relative errors in hills and mountains of western and southern Henan was higher than that in plain areas. The research results provided a reference for large-scale crop yield. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 32

Main heading: Crops

Controlled terms: Decision trees? - ?Forecasting? - ?Mean square error? - ?Meteorology? - ?Random forests? - ?Remote sensing? - ?Soil moisture

Uncontrolled terms: Large-scales? - ?Multi-source spatio-temporal data? - ?Multi-Sources? - ?Random forest algorithm? - ?Remote-sensing? - ?Spatio-temporal data? - ?Wheat yield? - ?Winter wheat? - ?Winter wheat yields? - ?Yield prediction

Classification code: 483.1 Soils and Soil Mechanics? - ?723.4.2 Machine Learning? - ?821.4 Agricultural Products? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?922.2 Mathematical Statistics? - ?961 Systems Science

Numerical data indexing: Mass 8.2155E+02kg, Mass 8.3201E+02kg, Mass 2.00E+00kg

DOI: 10.6041/j.issn.1000-1298.2022.01.022

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

11. Design and Test on Key Components of Strip Compound Ground Preparation Machine in Paddy Field

Accession number: 20220811678156

Title of translation:

Authors: Sun, Wenfeng (1); Fu, Tianpeng (1); He, Yue (1); Lu, Jiaqi (1); Chang, Jinkai (1); Wang, Jiquan (1)

Author affiliation: (1) College of Engineering, Northeast Agricultural University, Harbin; 150030, China

Corresponding author: Wang, Jiquan(wang-jiquan@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 50-62

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Under the background of conservation tillage, the advantages of less tillage and no-tillage cultivation techniques, such as water storage and soil conservation, have been emphasized. In order to solve the shortcomings of full tillage, a belt tillage machine was designed for seedbed preparation, and its key components were studied. According to the existing wide and narrow planting row spacing of rice, belt land preparation with 30 cm bandwidth was realized by selecting rotary blade and designing blade arrangement. Meanwhile, no-tillage operation was carried out in the adjacent 30 cm area to realize the purpose of fine land preparation between paddy beds. After one operation, seedling transplanting could be carried out in the water field. The orthogonal rotation test method was used to simulate the actual field operation through EDEM discrete element simulation, and the optimal arrangement of strip rotary blades was obtained. At this time, the simulation results were as follows: the soil crushing rate was 93.26%, and the surface flatness was 17.3 mm. On this basis, field experiments were carried out, and the results showed that the soil crushing rate, surface flatness, single tillage bandwidth, and tillage bandwidth stability of multi-functional combined tillage machine were 92.97%, 18.4 mm, 300.9 mm, 95.3%, respectively. The stability of tillage depth, shallow subsoil depth, tillage depth and deep subsoil depth were 151.3 mm, 221.4 mm, 93.5% and 92.3%, respectively, which fully met the needs of large-scale rice seedbed soil preparation. The research was focused on determining the structural parameters of strip rotary tillage, ensuring the stability of tillage bandwidth and good operation results. It provided reference for the design and research of less and no-tillage equipment for paddy field. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 42

Main heading: Soils

Controlled terms: Agricultural machinery? - ?Bandwidth? - ?Crushing? - ?Cultivation? - ?Finite difference method? - ?Soil conservation? - ?Testing? - ?Turbomachine blades

Uncontrolled terms: Belt rotary tillage? - ?Combined ground preparation machine? - ?Crushing rates? - ?Discrete elements method? - ?Field experiment? - ?No tillage? - ?Paddy fields? - ?Rotary blades? - ?Rotary tillages? - ?Soil crushing

Classification code: 483.1 Soils and Soil Mechanics? - ?716.1 Information Theory and Signal Processing? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods? - ?921.6 Numerical Methods

Numerical data indexing: Percentage 9.23E+01%, Percentage 9.297E+01%, Percentage 9.326E+01%, Percentage 9.35E+01%, Percentage 9.53E+01%, Size 1.513E-01m, Size 1.73E-02m, Size 1.84E-02m, Size 2.214E-01m, Size 3.009E-01m, Size 3.00E-01m

DOI: 10.6041/j.issn.1000-1298.2022.01.006

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

12. Shooting Flow Shape and Control of Organic Fertilizer Side Throwing on Inclined Opposite Discs

Accession number: 20220811677498

Title of translation:

Authors: Liu, Hongxin (1); Du, Chunli (1); Yin, Linwei (1); Zhang, Guangfu (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: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 168-177

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to further explore the effectiveness potential of the inclined opposite disk side throwing device in the aspects of throwing uniformity and throwing distance, the shooting flow shape was described qualitatively and quantitatively by using the parameters such as the angle of shooting, scattering angle, and effective throw distance, etc. Through the theoretical analysis, the mathematical models between each parameter and the structural parameters of the throwing device were established. Then, through these models, it was obtained that factors such as the speed of the discs, the inclination angle of the discs and the shape of the scraper had an influence on the shooting flow shape. Based on the simulation results, the wide bottom extended inclined quadrilateral fertilizer scraper, throw-off angle control baffle and other parts were innovatively designed, and the ejection effect of the shooting flow was tested by the prototype test. The results showed that when the height of the throw-off angle control baffle was 140 mm and the leading out angle of the upper deflector was 40°, the throw-off angle of the shooting flow can be controlled at about 30°, the innovative design of wide bottom extended inclined quadrilateral fertilizer scraper can reduce the scattering angle to 25°, a narrow shooting flow was obtained to reduce the upwind side of the shooting flow, and the effective throw distance was 11.6 m. Under the joint action of this part and the throw-off angle control baffle, a flexible cylinder without guide obstruction was formed, and the throwing effect was better. The research effectively controlled the shooting flow of the spreader by innovating components and optimizing structural parameters, it provided theoretical basis and basic data for improving the operation ability of the side throwing device with inclined opposite discs. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 15

Main heading: Fertilizers

Controlled terms: Tools

Uncontrolled terms: Angle control? - ?Discrete elements method? - ?Inclined opposite disk? - ?Off-angle? - ?Organic fertilizer side throwing? - ?Organic fertilizers? - ?Scattering angles? - ?Shooting flow control? - ?Shooting flow shape? - ?Structural parameter

Classification code: 804 Chemical Products Generally? - ?821.2 Agricultural Chemicals

Numerical data indexing: Size 1.16E+01m, Size 1.40E-01m

DOI: 10.6041/j.issn.1000-1298.2022.01.018

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

13. Flight Control of Two-degree-of-freedom PID Unmanned Gyrocopter Based on Improved PSO

Accession number: 20220811677347

Title of translation: PSOPID

Authors: Su, Zhongbin (1); Zhang, Leilei (1); Ma, Zheng (1); Gao, Rui (1)

Author affiliation: (1) School of Electrical and Information, Northeast Agricultural University, Harbin; 150030, China

Corresponding author: Gao, Rui(415730327@qq.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 151-158 and 185

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: For the automatic control of the traditional unmanned autogyro, a combination of one-degree-of-freedom PID and optimization algorithm is used, because the one-degree-of-freedom PID cannot solve the problem of fast response and interference suppression at the same time due to the response lag characteristics of autogyro. A two-degree-of-freedom PID controller based on the particle swarm algorithm and the simulated annealing algorithm is proposed, and a noise reduction method of feedforward controller is designed to achieve effective control of unmanned autogyro. The feasibility is verified by building a Matlab simulation model. The simulation results show that the response speed of the algorithm in this study is faster than that of the traditional one-degree-of-freedom PID control. The feedforward controller, with strong robustness and system response can effectively suppress external disturbances. As the result, the speed is fast and the response time is increased by about 11%. The control system is more stable with higher response accuracy and slighter convergence error value. The possibility of error is about 1/6 lower than the traditional PID. At the same time, the actual flight experiments in two different flight environments verified the feasibility of the two-degree-of-freedom PID controller based on PSO-SA, which can provide a theoretical basis for the application of unmanned autogyro in the field of agricultural aviation. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 20

Main heading: Three term control systems

Controlled terms: Aircraft control? - ?Automation? - ?Controllers? - ?Degrees of freedom (mechanics)? - ?Disturbance rejection? - ?Electric control equipment? - ?Feedforward control? - ?Flight control systems? - ?MATLAB? - ?Noise abatement ? - ?Particle swarm optimization (PSO)? - ?Process control? - ?Proportional control systems? - ?Simulated annealing

Uncontrolled terms: Annealing algorithm? - ?Feed-forward controllers? - ?Flight control? - ?Gyrocopter? - ?Optimization algorithms? - ?Particle swarm algorithm? - ?PID? - ?PID Algorithm? - ?Simulated annealing algorithm? - ?Two-degree-of-freedom

Classification code: 537.1 Heat Treatment Processes? - ?652 Aircraft and Avionics? - ?652.3 Aircraft Instruments and Equipment? - ?704.2 Electric Equipment? - ?723 Computer Software, Data Handling and Applications? - ?723.5 Computer Applications? - ?731 Automatic Control Principles and Applications? - ?731.1 Control Systems? - ?732.1 Control Equipment? - ?751.4 Acoustic Noise? - ?921 Mathematics? - ?921.5 Optimization Techniques? - ?931.1 Mechanics

Numerical data indexing: Percentage 1.10E+01%

DOI: 10.6041/j.issn.1000-1298.2022.01.016

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

14. Early Warning System for Anti-tipping of High-stalk Grass Crawler Harvesting Machinery

Accession number: 20220811679336

Title of translation:

Authors: Huang, Shaojiong (1); Liu, Wen (1); Ban, Chao (1); Wang, Zhonghao (1); You, Yong (1); Zhao, Jianzhu (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China

Corresponding author: Zhao, Jianzhu(zhjzh@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 133-139

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming to solve the problem of that the high-stalk grass harvester was prone to tipping when operating on the southern mountain slopes, an anti-tip warning system was designed. The system was mainly composed of a host computer, a controller and sensors. Through the joint monitoring of the inclination sensor and the pressure sensor, the anti-tip warning function was realized. The center of mass of the whole machine was tested. The horizontal distance between the center of mass of the whole machine and the drive wheel shaft was 944.5 mm. The height of the center of mass was 1 080.4 mm. The distance between the center of mass and the longitudinal center plane was 27.9 mm. The position of the center of mass was determined. The software RecurDyn was used to perform the dynamic simulation analysis of the whole machine under typical working conditions at a speed of 7.2 km/h. The critical tipping angles for horizontal straight, turning and longitudinal up and down slopes were 24°, 11°, 33° and 31°. Under the turning conditions, the critical tipping lateral load transfer ratio was 0.49. A static tipping test was performed on the whole machine. The critical tipping angles for horizontal straight and longitudinal up and down slopes were 24.7°, 34.2° and 31.8°. Based on the size of the whole machine and the position of the center of mass, a scale model was built. A dynamic tipping test was performed under a fixed steering path. The test results showed that the critical tipping angle of steering was 14° and the critical tipping lateral load transfer ratio was 0.54. The research can provide theoretical support for high-stalk grass harvesters applied to operations under complex working conditions. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Harvesters

Controlled terms: Computer software

Uncontrolled terms: Centers-of-mass? - ?Condition? - ?Dynamics simulation? - ?Forage grass? - ?Forage grass crawler harvester? - ?Hillside? - ?Lateral loads? - ?Tipping angle? - ?Tipping warning? - ?Whole machine

Classification code: 723 Computer Software, Data Handling and Applications? - ?821.1 Agricultural Machinery and Equipment

Numerical data indexing: Size 2.79E-02m, Size 7.20E+03m, Size 8.04E-02m, Size 9.445E-01m

DOI: 10.6041/j.issn.1000-1298.2022.01.014

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

15. Design and Experiment of Tomato Picking Robot in Solar Greenhouse

Accession number: 20220811679414

Title of translation:

Authors: Yu, Fenghua (1, 2); Zhou, Chuanqi (1); Yang, Xin (1); Guo, Zhonghui (1); Chen, Chunling (1, 2)

Author affiliation: (1) College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang; 110866, China; (2) Liaoning Agricultural Information Engineering Technology Research Center, Shenyang; 110866, China

Corresponding authors: Chen, Chunling(chenchunling@syau.edu.cn); Chen, Chunling(chenchunling@syau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 41-49

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: With the popularization and development of solar greenhouse in recent years, more and more crops began to be planted in solar greenhouse. At present, in the greenhouse garden, picking tomatoes mainly relies on fruit farmers to complete manually, which not only consumes a lot of work force, but also wastes a lot of time. Taking tomato as an example, a tomato picking robot was designed which can be applied to solar greenhouse garden, patrol between greenhouse and ridge road and automatically identify ripe tomato in real time, and complete picking and collecting after identifying successful tomato. STM32 microcontroller was the main core of this design. The Mecanum wheel omni directional mobile platform was used as the mobile chassis of the robot, and the depth camera driven by Raspberry Pi 4B controller was used as the recognition device of mature tomatoes. The platform on the chassis was equipped with a wind compensation fan and a 6-DOF horizontal sliding mechanical arm. The arm was equipped with a flexible grip attached to a thin-film pressure sensor. The whole upper platform was driven by the vertical lifting structure installed on the platform under the chassis. The sliding mechanism and the lifting mechanism were equipped with ranging sensors. Through the recognition and capture of the camera driven by Raspberry Pi 4B, the coordinate data of the ripe tomato was transmitted to the STM32 controller through the serial bus. The STM32 controller drove the joint action of the mechanical arm, slide rail and lifting platform through inverse kinematics analysis of the mechanical arm, and can pick tomatoes at different heights and depths with the action of the end joint of the mechanical arm. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 30

Main heading: Greenhouses

Controlled terms: Cameras? - ?Chassis? - ?Controllers? - ?Fruits? - ?Inverse kinematics? - ?Robots

Uncontrolled terms: Detection networks? - ?Mechanical arm? - ?Picking robot? - ?Picking tomatoes? - ?R-FCN target detection network? - ?Real- time? - ?Solar greenhouse? - ?Targets detection? - ?Tomato picking robot? - ?Work force

Classification code: 662.4 Automobile and Smaller Vehicle Components? - ?663.2 Heavy Duty Motor Vehicle Components? - ?731.5 Robotics? - ?732.1 Control Equipment? - ?742.2 Photographic Equipment? - ?821.4 Agricultural Products? - ?821.6 Farm Buildings and Other Structures? - ?931.1 Mechanics

DOI: 10.6041/j.issn.1000-1298.2022.01.005

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

16. Spatio-temporal Differentiation and Influencing Mechanism of Cultivated Land Use in Beijing-Tianjin-Hebei Region

Accession number: 20220811677487

Title of translation:

Authors: Wang, Yufeng (1); Wang, Juan (2)

Author affiliation: (1) College of Enviromental Science and Engineering, Ocean University of China, Qingdao; 266100, China; (2) Urban & Rural Planning & Design Institute of Yunnan Province, Kunming; 650228, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 192-197 and 214

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Due to the unbalanced distribution of cultivated land resources in the Beijing-Tianjin-Hebei region, the regional differences of social and economic development are prominent. It is of great significance to clarify the spatial and temporal heterogeneity of cultivated land for the coordinated and sustainable development of the region. Based on the Beijing-Tianjin-Hebei region, the evolution of cultivated land spatial distribution and its influencing mechanism during the period of 1990-2020 were studied by using the dynamic change model of cultivated land and geo-detector methods. The results showed that Beijing took the lead in the construction of industrialized cities, followed by Tianjin, and Hebei lagged behind. The relatively high dynamic value of cultivated land change also appeared one after another. The distribution of cultivated land had a significant agglomeration characteristic, showing a kernel density pattern of “dense in southeast and sparse in northwest”. The characteristics of land use structure change were obvious. Construction land, woodland and water area were the main areas of net increase, while cultivated land, grassland and unused land were the main areas of net decrease. The loss of cultivated land mainly showed the aggregation characteristics around Beijing and Bohai Sea, and the heat of loss in the east was higher than that in the west, and that in the south was higher than that in the north. The influence of socio-economic and policy factors on cultivated land use showed an upward trend, while the influence of natural factors showed a downward trend. The results can provide a scientific basis for farmland protection and regional coordinated development in Beijing-Tianjin-Hebei region. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 20

Main heading: Land use

Controlled terms: Dynamics? - ?Economic and social effects? - ?Economics? - ?Farms

Uncontrolled terms: Beijing-tianjin-hebei regions? - ?Cultivated land distribution? - ?Cultivated lands? - ?Influence mechanism? - ?Influencing mechanisms? - ?Land resources? - ?Land use transfer? - ?Spatiotemporal differentiation? - ?Spatiotemporal evolution? - ?Unbalanced distribution

Classification code: 403 Urban and Regional Planning and Development? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?971 Social Sciences

DOI: 10.6041/j.issn.1000-1298.2022.01.021

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

17. Design and Experiment of Upper-limb Exoskeleton Robot System Driven by Pneumatic Artificial Muscle in Lifting Task by Single Arm

Accession number: 20220811677504

Title of translation:

Authors: Zhao, Zhirui (1); Li, Xing (2, 3); Zhang, Hang (1); Liu, Mingfang (1); Ma, Tianhua (1); Hao, Li’na (1)

Author affiliation: (1) School of Mechanical Engineering and Automation, Northeastern University, Shenyang; 110819, China; (2) School of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan; 523808, China; (3) State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang; 110004, China

Corresponding author: Hao, Li’na(haolina@me.neu.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 423-430

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Lifting with a single arm is a common upper-limb action but it is easy to cause the rotator cuff injury. An upper-limb exoskeleton was designed to provide assistant force/torque to the human for accomplishing the lifting task on the premise of safety. The proposed prototype was comprised of two parts: 1-DOF elbow exoskeleton and a pneumatic shoulder pillow. The proposed structure was combined with the benefit of power transmission in the rigid exoskeleton and flexible double weave shoulder movement in the bionic exosuit. Such devices can provide necessary force assistance for the elbow flexion/extension and shoulder abduction of the wearer and improve the kinematic compatibility between the human arm and the exoskeleton. Further on, to verify the performance of the exoskeleton, a subject was asked to lifting 1 kg and 5 kg weight of loads with and without the robot-assisted, respectively. From the results, the mean absolute values of electromyography on biceps and supraspinatus were reduced to 70.97% and 80.67% of the non-wearable state during the 1kg weight lifting task, and 69.92% and 81.51% in the 5 kg weight lifting task. The root mean squares of the relative muscle electromyography were reduced to 78.85% and 78.02% in 1 kg, and 66.46% and 89.22% in 5 kg. By using the pneumatic abduction shoulder pillow, the abduction trajectory of the shoulder was similar to the natural state during the lifting tasks. The heart rate of the subject was also recorded in the experiment. From the statistical analysis, the heart rate was not obviously changed (p> 0.01). These results illustrated the potential risk of rotator cuff injury can be reduced in the robot-assisted lifting task. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 37

Main heading: Heart

Controlled terms: Exoskeleton (Robotics)? - ?Muscle? - ?Pneumatic drives? - ?Pneumatics? - ?Wearable technology? - ?Weaving

Uncontrolled terms: Exoskeleton robots? - ?Heart-rate? - ?Lifting task? - ?Pneumatic artificial muscle? - ?Robots system? - ?Rotator cuff? - ?Rotator cuff injury? - ?Upper limbs? - ?Upper-limb exoskeleton? - ?Weight lifting

Classification code: 461.2 Biological Materials and Tissue Engineering? - ?632.3 Pneumatics? - ?632.4 Pneumatic Equipment and Machinery? - ?731.5 Robotics? - ?819.5 Textile Products and Processing

Numerical data indexing: Mass 1.00E00kg, Mass 5.00E+00kg, Percentage 6.646E+01%, Percentage 6.992E+01%, Percentage 7.097E+01%, Percentage 7.802E+01%, Percentage 7.885E+01%, Percentage 8.067E+01%, Percentage 8.151E+01%, Percentage 8.922E+01%

DOI: 10.6041/j.issn.1000-1298.2022.01.046

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

18. Design and Experiment of Cam Rocker Bidirectional Extrusion Walnut Shell Breaking Device

Accession number: 20220811677376

Title of translation:

Authors: Shi, Mingcun (1); Liu, Mingzheng (1); Li, Changhe (1); Cao, Chengmao (2); Li, Xinping (3)

Author affiliation: (1) School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao; 266520, China; (2) School of Engineering, Anhui Agricultural University, Hefei; 230036, China; (3) College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang; 471003, China

Corresponding author: Li, Changhe(sy_lichanghe@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 140-150

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Breaking of walnut shell with less damage remains to be a challenge because walnut kernel is crisp. The existing equipments which were used to break shell and take kernel cannot meet the high quality and mass requirements of walnut kernel. Aiming to resolve the above gaps, the cam rocker bidirectional extrusion self-positioning walnut shell breaking device were designed. By analyzing the critical condition of crack fracture, the mechanism of crack propagation and the displacement of breaking walnut shell, the double-screw quantitative feeding mechanism and cam rocker bidirectional extrusion breaking mechanism were designed. The size of the extrusion/blanking U-shaped block structure, the motion angle and displacement of the cam mechanism were determined, the rocker displacement equation was determined and the cam profile curve was designed. L9(34) orthogonal test was carried out with extrusion clearance, camshaft rotation speed and walnut circumference size as test factors, and one kernel rate, two kernel rate, nibs rate and hulling rate as test indexes. The results showed that the primary and secondary order of the various affecting factors were the walnut circumference size, extrusion clearance and camshaft rotation speed, and the optimized combination was as follows: the walnut circumference size was 34~37 mm, extrusion clearance was 7 mm, camshaft rotation speed was 53 r/min. Taking the optimal combination for verification experiment, the results showed that one kernel rate was 61.39%, two kernel rate was 23.30%, nibs rate was 15.31% and hulling rate was 92.36%. Compared with the traditional walnut sheller and kernel extractor, the high kernel rate was increased by 14.69 percentage points, which met the walnut industry primary processing needs. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Cams

Controlled terms: Camshafts? - ?Cracks? - ?Extrusion? - ?Shells (structures)

Uncontrolled terms: Breaking devices? - ?Breakings? - ?Cam rocke swing type? - ?Cam Rocker? - ?Hatching device? - ?Hulling rates? - ?Rotation speed? - ?Swing type? - ?Walnut? - ?Walnut shells

Classification code: 408.2 Structural Members and Shapes? - ?601.2 Machine Components? - ?601.3 Mechanisms

Numerical data indexing: Angular velocity 8.851E-01rad/s, Percentage 1.531E+01%, Percentage 2.33E+01%, Percentage 6.139E+01%, Percentage 9.236E+01%, Size 3.40E-02m to 3.70E-02m, Size 7.00E-03m

DOI: 10.6041/j.issn.1000-1298.2022.01.015

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

19. Evapotranspiration Simulation of Penman-Monteith Model in Basic Greenhouse Based on Bayesian Method

Accession number: 20220811677505

Title of translation: BayesianPenman-Monteith

Authors: Li, Qun (1); Wang, Xing (2); Wang, Youke (1, 3); Na, Wenjuan (2); Tang, Yan (2); Wu, Jiujiang (1)

Author affiliation: (1) College of Water Resources and Architectural Engineering, Northwest A& F University, Yangling; 712100, China; (2) School of Agriculture, Ningxia University, Yinchuan; 752201, China; (3) Institute of Soil and Water Conservation, Northwest A& F University, Yangling; 712100, China

Corresponding authors: Wang, Youke(gjzwyk@vip.sina.com); Wang, Youke(gjzwyk@vip.sina.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 311-320

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Basic greenhouse is a kind of primary greenhouse without operation equipment. At present, more than 90% of greenhouse in China belongs to basic greenhouse. In order to solve the problem of evapotranspiration simulation in basic greenhouse, Penman-Monteith (PM) model, which is the most widely used mechanism model in greenhouse, was used to simulate the evapotranspiration in basic greenhouse. Bayesian method was used to estimate the parameters and analyze the uncertainty of six PM models composed of two key parameters ra (aerodynamics resistance) and rc (canopy resistance). Three precision indexes, namely mean relative error (MAE), determination coefficient (R2) and Wilmot consistency index (D), were used to evaluate the model accuracy for the model calibration year (2018) and test year (2019). The results showed that the Bayesian parameter estimation method made the PM evapotranspiration model with high accuracy in the basic greenhouse day scale estimation, and five of the six PM models met the three accuracy indexes in the model calibration year and model test year. The Bayesian parameter estimation method can effectively reduce the uncertainty of some parameters in the basic greenhouse day scale PM model. In the model ra2-rc3, the posterior distribution interval of parameter a2 was reduced by 97.65%, 92.38%, 93.31% and 98.24%, respectively in the four growth stages compared with the prior distribution interval. In the model ra2-rc2, the posterior distributions interval of parameters D50, KQ, Q50 and gmax were reduced by 96.44%, 56.08%, 97.78% and 99.75%, respectively compared with the prior distribution interval. Two PM models suitable for daily scale evapotranspiration simulation of basic greenhouse were screened out: ra2-rc3 and ra3-rc3, the optimal model was ra2-rc3. The research result can provide theoretical basis for improving crop irrigation and water use efficiency in basic greenhouse. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 55

Main heading: Bayesian networks

Controlled terms: Evapotranspiration? - ?Greenhouses? - ?Parameter estimation? - ?Statistical tests? - ?Uncertainty analysis? - ?Water supply

Uncontrolled terms: Basic greenhouse? - ?Bayesian methods? - ?Bayesian parameter estimation? - ?Evapotranspiration simulation? - ?Model calibration? - ?Parameter estimation method? - ?Penman Monteith? - ?Penman-Monteith models? - ?Posterior distributions? - ?Uncertainty

Classification code: 446.1 Water Supply Systems? - ?821.6 Farm Buildings and Other Structures? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?922.1 Probability Theory? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 5.608E+01%, Percentage 9.00E+01%, Percentage 9.238E+01%, Percentage 9.331E+01%, Percentage 9.644E+01%, Percentage 9.765E+01%, Percentage 9.778E+01%, Percentage 9.824E+01%, Percentage 9.975E+01%

DOI: 10.6041/j.issn.1000-1298.2022.01.034

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

20. Segmentation of Plant Leaves and Features Extraction Based on Muti-view and Time-series Image

Accession number: 20220811679341

Title of translation:

Authors: Lou, Lu (1); Lü, Hui (1); Song, Ran (2)

Author affiliation: (1) School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing; 400074, China; (2) School of Control Science and Engineering, Shandong University, Ji’nan; 250061, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 253-260

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Phenotyping aims to measure traits of interest and a key part of this requires the accurate identification of defined parts of the organism. Instance segmentation of organs, such as leaves, is a crucial prerequisite for plant phenotyping. Firstly, whether deep learning methods (such as Mask-RCNN) had generality for leaf and stem segmentation was evaluated. Training was conducted using four datasets about three plants, a public Arabidopsis dataset (CVPPP2014), and three developmental multi-view datasets from Arabidopsis, maize, and physalis. Multi-view images of given plants were collected at different developmental periods. The Arabidopsis datasets contained only leaf, and the maize and physalis datasets were different from the Arabidopsis datasets, having clearly distinct leaf, stems, and petioles. The results showed that the mean accuracy precision (mAP0.5) of the Mask-RCNN model for Arabidopsis in the public datasets which was in the same growth period reached 85.3% and the mean intersection over union (mIOU) was 73.4%. The mean accuracy precision was more than 70.0% across different growth periods of Arabidopsis, maize, and physalis. The mean intersection over union was more than 60.0% across different growth periods of Arabidopsis, which indicated that Mask-RCNN displayed satisfying versatility for plant phenotyping and had high value for plant phenotyping. The results showed that the model had competitive advantage compared with previous plant segmentation algorithms. Furthermore, taking advantage of multi-view images, a leaf tracking method was presented to solve the problem of plant occlusions. It was helpful for the leaf counting and leaf area calculation of plants. The results showed that the proposed methods had a superior performance compared with other existing plant segmentation algorithms, and was promising to build a dynamic modeling for various plants during their entire growth cycles. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 30

Controlled terms: Competition? - ?Deep learning? - ?Plants (botany)

Uncontrolled terms: Arabidopsis? - ?Features extraction? - ?Growth period? - ?Leaf counting? - ?Mask-RCNN? - ?Multi-view image? - ?Plant phenotyping? - ?Segmentation algorithms? - ?Time-series image? - ?Times series

Classification code: 461.4 Ergonomics and Human Factors Engineering? - ?723.4 Artificial Intelligence? - ?911.2 Industrial Economics

Numerical data indexing: Percentage 6.00E+01%, Percentage 7.00E+01%, Percentage 7.34E+01%, Percentage 8.53E+01%

DOI: 10.6041/j.issn.1000-1298.2022.01.028

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

21. Design and Experiment of Attitude Cooperative Control System of Mountain Crawler Tractor and Farm Tools

Accession number: 20220811679445

Title of translation:

Authors: Yang, Fuzeng (1, 2); Niu, Hanlin (1, 2); Sun, Jingbin (1, 2); Liu, Zhijie (1, 3); Li, Yilin (1, 2); Chu, Hongli (1, 2)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A& F University, Yangling; 712100, China; (2) Northern Agricultural Equipment Scientific Observation and Experimental Station, Ministry of Agriculture and Rural Affairs, Yangling; 712100, China; (3) Apple Full Mechanized Scientific Research Base, Ministry of Agriculture and Rural Affairs, Yangling; 712100, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 414-422

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Based on the mountain crawler tractor (referred to as mountain tractor ) developed by our team, a collaborative control system for vehicle body and farm tool attitude was designed. In view of the different attitude adjustment requirements of body leveling and farm tools profiling during the contour operation of mountain tractors, the control strategy of the whole system was constructed on the basis of establishing the kinematics model of body and farm tools, and the collaborative control system was designed. Among them, PID algorithm and double closed-loop fuzzy PID algorithm were used for the control of body and farm tools, respectively. The control algorithm was simulated and analyzed based on Simulink. The results showed that the PID algorithm can meet the basic leveling requirements. The control effect of using double closed-loop fuzzy PID algorithm to realize the attitude adjustment of farm tools was better than that of PID algorithm. Finally, the static and dynamic tests of the coordinated adjustment of the unit attitude were carried out. The results showed that when the static adjustment was carried out on the slope of ±15°, the maximum error of the body roll angle was 1.10°, and the maximum error of the farm tool roll angle was 0.46°. In the dynamic operation on the slope of 14°~16°, the maximum error of the roll angle of the body was 1.90°, and the maximum error of the roll angle of agricultural machinery was 0.93°. It can be seen that the accuracy and stability of the attitude cooperative control system can meet the requirements of slope contour operation in hilly and mountainous areas. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Landforms

Controlled terms: Closed loop control systems? - ?Errors? - ?Three term control systems? - ?Tractors (agricultural)? - ?Tractors (truck)

Uncontrolled terms: Attitude? - ?Co-operative control? - ?Collaborative control? - ?Double closed loop? - ?Fuzzy-PID control? - ?Levelings? - ?Maximum error? - ?Mountain tractor? - ?PID Algorithm? - ?Roll angle

Classification code: 481.1 Geology? - ?663.1 Heavy Duty Motor Vehicles? - ?731.1 Control Systems? - ?821.1 Agricultural Machinery and Equipment? - ?961 Systems Science

DOI: 10.6041/j.issn.1000-1298.2022.01.045

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

22. Structure Design and Dynamic Performance Analysis of Magnetorheological Damper with Adjustable Damping Gaps

Accession number: 20220811677259

Title of translation:

Authors: Zuo, Qiang (1); Huang, Xinfang (2); Yi, Feng (3); Tong, Wang (3); Hu, Guoliang (3)

Author affiliation: (1) School of Engineering, Zhejiang University City College, Hangzhou; 310015, China; (2) Zhejiang Zhongtong Communications Co., Ltd., Hangzhou; 310014, China; (3) Key Laboratory of Conveyance and Equipment, Ministry of Education, East China Jiaotong University, Nanchang; 330013, China

Corresponding author: Hu, Guoliang(glhu@ecjtu.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 431-440

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Magnetorheological (MR) dampers with fixed damping gaps and short damping lengths have the disadvantages of small damping force, single dynamic performance and low adaptability. To overcome these shortcomings, a MR damper with adjustable damping gaps was proposed and designed. The MR damper had annular and conical fluid flow channels, and four segments of effective damping lengths in the annular and conical fluid flow channels. By adjusting the position of the valve core controlled by the locking nut, the relative positions between the valve core and the left and right yokes would be changed, so the damping gaps in the conical fluid flow channel can be adjusted continuously. The magnetic circuit of the proposed MR damper was studied and its mechanical model was also established. ANSYS was used to simulate the change of the electromagnetic field in the MR damper. A prototype was manufactured, and its dynamic performance was tested experimentally. The results showed that the damping force of the proposed MR damper was increased with the decrease of the damping gaps, and the maximum damping force can reach 7.2 kN at the damping gap of 0.6 mm. Moreover, the adjustable coefficient was decreased with the decrease of damping gaps, and the maximum adjustable coefficient can reach 13.6 at the damping gap of 1.6 mm. In addition, the damping force was ranged from 0.2 kN to 7.2 kN with different damping gaps, and the maximum adjustable coefficient can reach 33. The dynamic performance of the developed MR damper can be greatly enhanced, and the traditional MR dampers with its application in fixed situations can be possibly replaced. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 20

Main heading: Damping

Controlled terms: Channel flow? - ?Electromagnetic fields? - ?Mechanisms? - ?Structural design

Uncontrolled terms: Adjustable coefficient? - ?Adjustable damping gap? - ?Damping forces? - ?Dynamic performance? - ?Flow channels? - ?Fluid-flow? - ?Mr dampers (Magneto Rheological)? - ?Structure design? - ?Structure dynamics? - ?Valve cores

Classification code: 408.1 Structural Design, General? - ?601.3 Mechanisms? - ?631.1 Fluid Flow, General? - ?701 Electricity and Magnetism? - ?931.1 Mechanics

Numerical data indexing: Force 2.00E+02N to 7.20E+03N, Force 7.20E+03N, Size 1.60E-03m, Size 6.00E-04m

DOI: 10.6041/j.issn.1000-1298.2022.01.047

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

23. Strategy on Remote Fuzzy PID Control for Fertilizer Liquid Conductivity of Water Fertilizer Integrated Machine

Accession number: 20220811677537

Title of translation: PID

Authors: Zhu, Delan (1, 2); Ruan, Hancheng (1, 2); Wu, Pute (1, 3); Li, Jinghao (1, 2); Lu, Liqiong (1, 2)

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, Northeast A& F University, Yangling; 712100, China; (3) Institute of Soil and Water Conservation, Northwest A& F University, Yangling; 712100, China

Corresponding authors: Wu, Pute(gjzwpt@vip.sina.com); Wu, Pute(gjzwpt@vip.sina.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 186-191

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Precision control of the concentration of fertilizer is an important part of the integrated control system of water and fertilizer. It is the foundation to realize precision fertilization by detecting the electric conductivity (EC) value of fertilizer and controlling it in a reasonable range. Based on Internet of things technology, the remote control system was designed and developed, self-tuning fuzzy PID control algorithm was introduced into the equipment in the terminal, and the fuzzy PID control algorithm was used to control the local end frequency of variable frequency pump, and in turn to realize the precise control of EC value, and the local end PID and remote end fuzzy PID control algorithm were validated through the contrast test. The results showed that the larger the target EC value was, the more accurate the steady-state EC value was, but the steady-state time and overshoot were increased. Compared with the traditional local PID control, the response speed of the system was fast, the EC fluctuation range was small and stable. When the target EC value was 2.5 mS/cm, the steady-state time and overshoot reached the maximum, which were 120 s and 20.8%, respectively. The mixing time and measured EC value could meet the actual demand of water and fertilizer control. The research not only realized the remote fuzzy PID control of EC value, but also realized the irrigation data monitoring and switching control of the computer, mobile phone and WeChat multi-terminal of the irrigation and fertilization system. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 30

Main heading: Internet of things

Controlled terms: Computer control systems? - ?Fertilizers? - ?Irrigation? - ?Remote control? - ?Three term control systems? - ?Tuning

Uncontrolled terms: Fuzzy-PID control? - ?Integrated control systems? - ?Integrated machines? - ?Internet of things technologies? - ?Liquid conductivity? - ?PID control algorithm? - ?Precision control? - ?Precision fertilizations? - ?Steady state time? - ?Water fertilizer integrated machine

Classification code: 722.3 Data Communication, Equipment and Techniques? - ?723 Computer Software, Data Handling and Applications? - ?723.5 Computer Applications? - ?731.1 Control Systems? - ?804 Chemical Products Generally? - ?821.2 Agricultural Chemicals? - ?821.3 Agricultural Methods

Numerical data indexing: Electrical conductivity 2.50E-01S/m, Percentage 2.08E+01%, Time 1.20E+02s

DOI: 10.6041/j.issn.1000-1298.2022.01.020

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

24. Path Planning of Rapeseed Combine Seeder in Field of Convex Boundary

Accession number: 20220811678631

Title of translation:

Authors: Huang, Xiaomao (1, 2); Zhang, Lei (1); Wang, Shaoshuai (1); Luo, Chengming (1, 2)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 33-40 and 150

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming to automatic guidance operation of the combined direct seeding unit for rapeseed in the scene of unmanned farm, a generally applicable path planning algorithm for rapeseed direct seeding operation in convex polygon boundary field was put forward. Based on the basic requirements of path planning algorithm for rapeseed direct seeding operation, the operation area was divided into internal direction parallel operation area and external contour parallel operation area, which were called direction parallel operation path and contour parallel operation path. The operation path was further divided into working path and non-working path, and the generated principles of the latter, including interline connection path, area connection path, corner connection path, entry path and exit path were introduced in detail. The optimal operation direction of the direction parallel path was obtained by minimum span method, and the operation sequence of the direction parallel path was optimized by greedy algorithm or Google OR-Tools. Considering the complete length of operation path, algorithm time consuming, repeated and missed area, aiming at the no-tillage or rotary tillage seeding operation of the combined direct seeding unit for rapeseed, taking Dongfanghong-LX804 tractor + 2BFQ-6 no-tillage direct seeder and other units as the object, the performance of algorithm was tested in four convex polygon boundary fields with different operation parameters, ground turning strategies and scheduling strategies. The test results showed that the coverage of rapeseed was more than or equal to 95.14%, the repeat rate was less than or equal to 2.63%, and the percentage of effective working path was more than or equal to 57.39%, the algorithm took time less than or equal to 8 003 ms, which was proved stable and efficient, and satisfied the basic requirements of path planning for rape direct seeding operation. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Motion planning

Controlled terms: Agricultural machinery? - ?Oilseeds

Uncontrolled terms: Automatic guidance? - ?Boundary fields? - ?Combine direct seede? - ?Convex polygon? - ?Direct-seeding? - ?Parallel operations? - ?Path-planning algorithm? - ?Polygon boundaries? - ?Unmanned farming? - ?Working path

Classification code: 821.1 Agricultural Machinery and Equipment? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 2.63E+00%, Percentage 5.739E+01%, Percentage 9.514E+01%, Time 3.00E-03s

DOI: 10.6041/j.issn.1000-1298.2022.01.004

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

25. Design and Test of Tractor Serial Hydraulic and Mechanical Hybrid Transmission System

Accession number: 20220811679351

Title of translation:

Authors: Li, Xianzhe (1); Liu, Mengnan (2, 3); Xu, Liyou (1); Zhang, Mingzhu (1); Yan, Xianghai (1, 3)

Author affiliation: (1) College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang; 471003, China; (2) State Key Laboratory of Power System of Tractor, Luoyang; 471039, China; (3) YTO Group Corporation R& D Center, Luoyang; 471039, China

Corresponding author: Xu, Liyou(xlyou@haust.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 406-413

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Most tractors in the world still use manual mechanical shifting transmissions. Such transmissions face problems for instance power interruption and cumbersome operation during gear shifts, which is extremely unfavorable for vehicles with load operations such as construction machinery, which not only increases the fatigue intensity of the driver, but also reduces productivity. To ensure the maximum flexibility of use at each speed and exploit the maximum engine power available under all working conditions. A series hydraulic and mechanical hybrid transmission system (HMD) and its supporting tractor overall design method were proposed, including functional requirements, transmission route design, component characteristics analysis, performance parameter calculation, simulation model building, and operation performance comparison. The system scheme was based on the series combination of hydraulic torque converter (TC) and dual clutch transmission (DCT). Based on the proposed design method, the Dongfanghong 1804 tractor was selected as the research object. According to the effectiveness of stepless speed regulation module, the traction performance and matching performance test were designed. Reasonable engine matching made the maximum efficiency of hydraulic transmission reach 0.894, and the stepless variable speed can be realized in heavy and light load sections, and the adaptability of working conditions was excellent. The comparison results showed that the traction characteristic field of HMD was located between the original tractor and HMCVT, and the peak amplitude of tractive force in each gear varied smoothly and the area of deep valley was significantly reduced. Under ploughing tillage, traction coverage was increased by an average of 15.3%, and the load operation speed was increased by an average of 8.2%. Under rotary tillage, the take-off power was increased by 1.7% on average. The research can provide a technical route reference for the overall design of multimodal infinitely variable speed tractors. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Speed

Controlled terms: Agriculture? - ?Design? - ?Electric power transmission? - ?Engines? - ?Hydraulic machinery? - ?Tractors (agricultural)? - ?Tractors (truck)? - ?Vehicle transmissions

Uncontrolled terms: Condition? - ?Hybrid transmission system? - ?Hybrid transmissions? - ?Load operations? - ?Mechanical? - ?Overall design? - ?Series connection type? - ?Series connections? - ?Tractor? - ?Transmission systems

Classification code: 602.2 Mechanical Transmissions? - ?632.2 Hydraulic Equipment and Machinery? - ?663.1 Heavy Duty Motor Vehicles? - ?706.1.1 Electric Power Transmission? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.1 Agricultural Machinery and Equipment

Numerical data indexing: Percentage 1.53E+01%, Percentage 1.70E+00%, Percentage 8.20E+00%

DOI: 10.6041/j.issn.1000-1298.2022.01.044

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

26. Design and Experiment of Garlic Harvesting and Root Cutting Device Based on Deep Learning Target Determination

Accession number: 20220811678484

Title of translation:

Authors: Yang, Ke (1); Hu, Zhichao (1); Yu, Zhaoyang (1); Peng, Baoliang (1); Zhang, Yanhua (1); Gu, Fengwei (1)

Author affiliation: (1) Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing; 210014, China

Corresponding author: Hu, Zhichao(zchu369@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 123-132

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to study a suitable intelligent root cutting device for garlic combined harvesting, a non-contact bulb root cutting method with machine vision was proposed, and a garlic root cutting test bench based on a deep convolutional neural network was designed afterwards. Specially, the test bench adopted a deep learning theory to perform target detection on the collected images, through using the APP software in Matlab to complete the human-computer interaction. Then, the results presented that the deep convolutional neural network could determine the cutting position of the garlic root, and the motor control system could adjust the position of the double disc cutting automatically, ensuring the root cutting process completed by the root knife. Target comparison tests showed that bulb (availability rate was 94.79%, confidence score was 0.976 97) was suitable for detecting, among the three kinds of bulb, root plate and garlic root. Comparison tests of detection models performed with ten models based on Faster R-CNN, SSD, YOLO v2, YOLO v3 and YOLO v4. The improved YOLO v2 model combined the detection speed and accuracy (the detection time in the test program was 0.052 3 s, and the confidence score was 0.968 49), where ResNet50 was selected as the feature extraction network; by using the improved YOLO v2 model, the root cutting test took bulbs as the targets (the confidence score was 0.970 99, the availability rate was 96.67%, the qualified rate of cutting roots was 95.33%, and the detection time in the APP was 0.088 7 s), can meet the requirements of garlic combined harvesting and cutting roots. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 33

Main heading: Cutting tools

Controlled terms: Application programs? - ?Convolution? - ?Convolutional neural networks? - ?Deep neural networks? - ?Feature extraction? - ?Harvesting? - ?Human computer interaction? - ?MATLAB? - ?Software testing

Uncontrolled terms: Comparison test? - ?Confidence score? - ?Convolutional neural network? - ?Cutting test? - ?Detection time? - ?Garlic harvester? - ?Root cutting device? - ?Root cuttings? - ?Test-bench? - ?YOLO

Classification code: 461.4 Ergonomics and Human Factors Engineering? - ?603.2 Machine Tool Accessories? - ?716.1 Information Theory and Signal Processing? - ?723 Computer Software, Data Handling and Applications? - ?723.5 Computer Applications? - ?821.3 Agricultural Methods? - ?921 Mathematics

Numerical data indexing: Percentage 9.479E+01%, Percentage 9.533E+01%, Percentage 9.667E+01%, Time 3.00E+00s, Time 7.00E+00s

DOI: 10.6041/j.issn.1000-1298.2022.01.013

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

27. Design and Experiment of Narrow-row-dense-planting Precision Planter for American Ginseng

Accession number: 20220811679298

Title of translation:

Authors: Liao, Yitao (1, 2); Li, Chengliang (1); Liao, Qingxi (1, 2); Zhang, Baixiang (1); Zheng, Juan (1); Du, Zheng (3)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 92-103

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Considering the problems that the existing drill or large row spacing hole-drop planter could not meet the agronomy requirements of American ginseng for narrow-row-dense-planting precision planting, and the mechanized planting of American ginseng lacked suitable planting machinery, a narrow-row-dense-planting precision planter for American ginseng was designed, which adopted multi-row parallel pneumatic needle seed metering device and planet-wheel dibbling seed guiding device. The structure principle of the planter and seed metering device was expounded and the transmission scheme of the whole machine was designed. The planet-wheel dibbling full-constrained seed guiding device was designed emphatically. The structural parameters of planetary gear systems were determined through mechanism analysis. The theoretical analysis and high-speed photography experiment of seed unloading process were carried out to determine the horizontal displacement and influencing factors of seed unloading trajectory, and determine the opening size of inserting apparatus of seed guiding device and the appropriate pressure of seed unloading. The theory and simulation analysis of seed guiding trajectory were carried out to determine the motion law of inserting apparatus and the low-position zero-speed dropping condition, and determine the profile of dropping control cam of seed guiding device. The results of field validation experiment showed that when the negative pressure of seed suction was -4.5 kPa, the positive pressure of seed unloading was 3.0 kPa and the working speed was 0.54 km/h, the qualified rate of seed per hole was 86.2%, the multiple rate was 4.4%, the seed-missing rate was 9.4%, the qualified rate of seed depth was 92.8%, and the qualified rate of hole distance was 93.9%, which met the agronomy requirements of American ginseng planting. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Wheels

Controlled terms: High speed photography? - ?Seed? - ?Unloading

Uncontrolled terms: American ginseng? - ?Fully-constrained seed guiding? - ?Guiding device? - ?Narrow-row-dense-planting? - ?Planetary gear train? - ?Plantings? - ?Precision planter? - ?Row spacing? - ?Seed-metering device? - ?Structure principles

Classification code: 601.2 Machine Components? - ?691.2 Materials Handling Methods? - ?742.1 Photography? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 4.40E+00%, Percentage 8.62E+01%, Percentage 9.28E+01%, Percentage 9.39E+01%, Percentage 9.40E+00%, Pressure -4.50E+03Pa, Pressure 3.00E+03Pa, Size 5.40E+02m

DOI: 10.6041/j.issn.1000-1298.2022.01.010

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

28. Simulation on Effect of Snowmelt on Cropland Soil Moisture within Basin in High Latitude Cold Region Using SWAT

Accession number: 20220811678512

Title of translation: SWAT

Authors: Wang, Bin (1); Guo, Shuaishuai (1); Feng, Jie (2); Huang, Jinbai (3); Gong, Xinglong (1)

Author affiliation: (1) School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin; 150030, China; (2) Huaian Surveying and Design Institute of Water Resources Co., Ltd., Huai’an; 223001, China; (3) School of Hydraulic Science and Engineering, Yangzhou University, Yangzhou; 225009, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 271-278

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The objective was to clarify the effects of the snowmelt on cropland soil moisture in spring of the high latitude cold region in China. The Hulan River Basin, which locates at the middle Heilongjiang Province, was adopted as the study area. In consideration of the deficiencies of spatial and temporal resolution of monitoring station data, remote sensing data and land surface model assimilation data, the hydrological processes such as snowfall, snow cover, and snow melting were simulated using soil and water assessment tool (SWAT). Research on spatial and temporal characteristics of snowfall, snow cover and snowmelt and their effects on the cropland soil moisture in spring of the Hulan River Basin were carried out. The results indicated that the spatial distributions of the average snowfall, the maximum daily snow cover, snowmelt within the Hulan River Basin showed a similar characteristic that gradually increased from west to east; the change rates of snow cover, snowfall and snowmelt exhibited the similar spatial distribution characteristics and these change rates showed increasing trend at most areas within the basin; the close relationships existed among the series of annual snowfall, snow cover and snowmelt, that were similar to the interannual variation trend of soil moisture, and the interannual variation of cropland soil moisture was greatly affected by precipitation. A related significant correlation existed between the snow cover in a period from the last November to the current March, the snowfall in the last November, snowmelt in current April, and the cropland soil moisture in April and May of the current year. The snowmelt water recharged the soil moisture from the late March to the early April, which could promote the short-term increase of soil moisture, and the amount of snow cover determined the replenishment of snowmelt water to cropland soil moisture; the change trends of soil moisture were gently decreased before snowmelt, whereas significantly decreased after snowmelt ended. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Soil moisture

Controlled terms: Remote sensing? - ?Rivers? - ?Snow? - ?Snow melting systems? - ?Soil surveys? - ?Spatial distribution? - ?Watersheds

Uncontrolled terms: ’current? - ?Cold regions? - ?Cropland soil moisture? - ?High latitude cold region? - ?High Latitudes? - ?Interannual variation? - ?River basins? - ?Snow covers? - ?Snow melt? - ?Soil and Water assessment tools

Classification code: 405.3 Surveying? - ?443.3 Precipitation? - ?444.1 Surface Water? - ?483.1 Soils and Soil Mechanics? - ?902.1 Engineering Graphics? - ?921 Mathematics

DOI: 10.6041/j.issn.1000-1298.2022.01.030

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

29. Effect of Biochemical Fulvic Acid on Water and Salt Transport Characteristics in Saline-alkali Soil

Accession number: 20220811678657

Title of translation:

Authors: Sun, Yan (1); Wang, Jian (1); Wang, Quanjiu (1); Qu, Zhi (1); Wang, Chunhong (1); Zhang, Xiyuan (1)

Author affiliation: (1) State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi’an University of Technology, Xi’an; 710048, China

Corresponding author: Wang, Quanjiu(wquanjiu@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 302-310

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Chemical amendment is an effective measure to improve soil water and salt environment under saline alkali stress and alleviate land secondary salinization in arid areas of Northwest China. The water and salt transport characteristics and infiltration model parameters of medium saline-alkali soil at different biochemical fulvic acid (BFA) application rates (0 g/kg, 1 g/kg, 2 g/kg, 4 g/kg and 8 g/kg) were investigated through the one-dimensional vertical infiltration test. The results showed that after the infiltration, compared with no application of BFA, the cumulative infiltration amount at the BFA application rates of 1 g/kg, 2 g/kg, 4 g/kg and 8 g/kg was increased by 1.00%, 4.67%, 7.14% and 3.44%. The soil water infiltration rate was decreased first and then increased with the increase of BFA application, respectively, the average volumetric water content of soil profile was increased by 8.90%, 17.70%, 20.41% and 11.67%, respectively. In addition, at the 0~20 cm soil layer, the average desalination rates were 5.29%, 27.04%, 42.77% and 14.74%, respectively. At the same time, the Philip model, Green-Ampt model and algebraic model could well simulate the soil water infiltration regulation at different BFA application rates, and there was a functional relationship between model parameters and BFA application rates. Compared with no application of BFA, the soil infiltration rate S and the soil saturated hydraulic conductivity Ks were decreased, and showed a trend of first decrease and then increase with the increase of the BFA application amount, and the minimum value was obtained at application rate of 4 g/kg. The suction Sf at the wetting front and comprehensive shape factor α were increased first and then decreased, and the maximum value was obtained at application rate of 4 g/kg. Therefore, the application amount of BFA significantly affected the characteristics of soil water and salt transport, and the application amount of 4 g/kg had obvious effects on water conservation and desalination of medium saline-alkali soil in Xinjiang. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 39

Main heading: Organic acids

Controlled terms: Desalination? - ?Hydraulic conductivity? - ?Infiltration? - ?Saline water? - ?Soil conservation? - ?Soil moisture? - ?Water conservation

Uncontrolled terms: Application rates? - ?Biochemical fulvic acid? - ?Fulvic acids? - ?Infiltration models? - ?Modeling parameters? - ?Saline-alkali soils? - ?Soil salts? - ?Soil water? - ?Transport characteristics? - ?Water and salt transports

Classification code: 444 Water Resources? - ?445.1 Water Treatment Techniques? - ?483.1 Soils and Soil Mechanics? - ?632.1 Hydraulics? - ?804.1 Organic Compounds

Numerical data indexing: Percentage 4.277E+01%, Percentage 4.67E+00%, Percentage 5.29E+00%, Percentage 7.14E+00%, Percentage 8.90E+00%, Size 0.00E00m to 2.00E-01m, Mass 0.00E00kg, Mass 1.00E-03kg, Mass 2.00E-03kg, Mass 4.00E-03kg, Mass 8.00E-03kg, Percentage 1.00E00%, Percentage 1.167E+01%, Percentage 1.474E+01%, Percentage 1.77E+01%, Percentage 2.041E+01%, Percentage 2.704E+01%, Percentage 3.44E+00%

DOI: 10.6041/j.issn.1000-1298.2022.01.033

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

30. Seasonal Variations of Regional Soil Moisture Measurement Accuracy Based on Cosmic-ray Neutron Sensing

Accession number: 20220811677663

Title of translation:

Authors: Wu, Qiang (1, 2); Huang, Na (3); Luo, Zizi (1, 2); Tang, Yuxue (1, 2); Zhu, Yuhan (1, 2); Xu, Qianqian (4)

Author affiliation: (1) Chongqing Institute of Meteorological Sciences, Chongqing; 401147, China; (2) Chongqing Jiangjin Modern Agrometeorology Test Station, Chongqing; 402260, China; (3) College of Resources and Environmental Sciences, China Agricultural University, Beijing; 100193, China; (4) Hefei Meteorological Bureau, Hefei; 230041, China

Corresponding author: Xu, Qianqian(nancy013@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 321-330

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The cosmic-ray neutron sensing method is a mesoscale and non-contact method for measuring soil moisture, which has been widely studied and applied. However, whether the accuracy and the applicability of the measurement results was consistent under the influence of typical meteorological conditions have not been clearly confirmed. The seasons were divided into time scales and typical meteorological periods were selected to study the difference of continuous observation effect between cosmic-ray neutron sensing (CRNS) and frequency domain reflection(FDR) under mountainous terrain. The result indicated that the seasonal variation of CRNS horizontal footprint was relatively stable under mountainous terrain, while the vertical footprint was fluctuated within the tillage layer. Different precipitation levels in different seasons was the main factor causing CRNS measurement deviation, during the period of severe soil moisture change, such as the continuous loss of soil moisture caused by high temperature and little rain and the process of precipitation of larger magnitude in summer and autumn, the results of CRNS and FDR were consistent. The spring precipitation was also smaller magnitude, canopy interception results in slightly different consistency between CRNS and FDR. In winter, precipitation and evapotranspiration were basically balanced, and the single precipitation was smaller magnitude, CRNS and FDR had a minimal deviation. The variation of CRNS measurement accuracy under typical soil moisture conditions was analyzed to further explain the influence of precipitation on the accuracy of CRNS, while the consistency was good in the period of continuous high temperature and drought, the root mean square error(RMSE), Nash-Sutcliffe efficiency coefficient(NSE)and Kling-Gupta efficiency coefficient(KGE)was 0.014 m3/m3, 0.925 and 0.919, respectively. The research results can provide a scientific basis for the selection of application scenarios and data quality control of CRNS. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 43

Main heading: Soil moisture

Controlled terms: Cosmic rays? - ?Cosmology? - ?Efficiency? - ?Frequency domain analysis? - ?Mean square error? - ?Neutrons? - ?Soil surveys

Uncontrolled terms: Cosmic ray neutron? - ?Cosmic-ray neutron sensing? - ?Efficiency coefficient? - ?Frequency domains? - ?Highest temperature? - ?Measurement accuracy? - ?Meso scale? - ?Mountainous terrain? - ?Seasonal variation? - ?Soil moisture measurement

Classification code: 483.1 Soils and Soil Mechanics? - ?657 Space Physics? - ?657.2 Extraterrestrial Physics and Stellar Phenomena? - ?913.1 Production Engineering? - ?921.3 Mathematical Transformations? - ?922.2 Mathematical Statistics

Numerical data indexing: Size 1.40E-02m

DOI: 10.6041/j.issn.1000-1298.2022.01.035

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

31. Design and Experiment of Trailed Liquid Fertilizer Sprayer

Accession number: 20220811677298

Title of translation:

Authors: Yang, Yanqiang (1, 2); Yun, Yingying (3); Chen, Zhaoying (1, 2); Fan, Guoqiang (1, 2); Dong, Heyin (4, 5); Wang, Yuliang (1, 2)

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) Ocean College, Zhejiang University, Zhoushan; 316021, China; (4) Taian Yimeite Machinery Co., Ltd., Xintai; 271215, China; (5) Taian Animal Husbandry Intelligent Equipment Industry Technology Research Institute, Xintai; 271215, China

Corresponding authors: Fan, Guoqiang(fgq1217@163.com); Fan, Guoqiang(fgq1217@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 159-167

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: There are few studies on the design and optimization of liquid fertilizer sprayer, a trailed liquid fertilizer sprayer was designed, which mainly composed of tank, suction system and discharge system. The theoretical model of spraying operation was established, and the key parameters such as vacuum pump displacement, tank structure and nozzle outlet flow rate were designed and calculated. The key factors such as the shape of scattering baffle, orientation of scattering baffle, shape of nozzle and flow velocity of nozzle outlet were simulated and analyzed. The analysis showed that the ideal spraying effect can be achieved by selecting fan-shaped scattering baffle, positive angle between scattering baffle and horizontal plane, circular nozzle and outlet velocity of about 13 m/s. Taking the radiation width, uniformity variation coefficient and average thickness of spraying as the spraying performance indexes, the spraying operation was optimized and simulated by orthogonal experiment. It was concluded that the significant factor affecting the spraying width was the longitudinal axis length of the scattering baffle, and the significant factor affecting the horizontal average thickness of the ground was the inclination angle of the scattering baffle, each factor had little effect on the coefficient of variation of spraying uniformity. Combined with the design goal, when the traveling speed was 5 km/h, the included angle between the scattering baffle and the horizontal was 35°, the longitudinal axis length of the scattering baffle was 32 cm, the outlet flow rate was 13 m/s and the nozzle height was 1 m. The test spraying width was 11 m, the average ground thickness was 1.65 mm, and the spraying uniformity variation coefficient CV was 34.86%. The simulation analysis was basically consistent with the test results, which verified the accuracy and reliability of the design. The design goal was achieved, the application requirements were met, and some data support was provided for the spraying research of liquid fertilizer. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 26

Main heading: Computational fluid dynamics

Controlled terms: Fertilizers? - ?Flow velocity? - ?Liquids? - ?Reliability analysis? - ?Spray nozzles? - ?Tanks (containers)

Uncontrolled terms: Design and optimization? - ?Design goal? - ?Liquid fertilizer sprayer? - ?Liquid fertilizers? - ?Longitudinal axis? - ?Outlet flows? - ?Spraying uniformity? - ?Suction system? - ?Trailed? - ?Variation coefficient

Classification code: 619.2 Tanks? - ?631 Fluid Flow? - ?631.1 Fluid Flow, General? - ?723.5 Computer Applications? - ?804 Chemical Products Generally? - ?821.2 Agricultural Chemicals? - ?931.1 Mechanics? - ?943.2 Mechanical Variables Measurements

Numerical data indexing: Percentage 3.486E+01%, Size 1.00E00m, Size 1.10E+01m, Size 1.65E-03m, Size 3.20E-01m, Size 5.00E+03m, Velocity 1.30E+01m/s

DOI: 10.6041/j.issn.1000-1298.2022.01.017

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

32. Dynamic Supervision Model of Rice Supply Chain Based on Blockchain and Smart Contract

Accession number: 20220811677339

Title of translation:

Authors: Zhang, Xin (1, 2); Peng, Xiangzhen (1, 2); Xu, Jiping (1, 2); Wang, Xiaoyi (1, 2); Li, Haisheng (2, 3); Zhao, Zhiyao (1, 2)

Author affiliation: (1) School of Artificial Intelligence, Beijing Technology and Business University, Beijing; 100048, China; (2) Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing; 100048, China; (3) School of Computer Science and Engineering, Beijing Technology and Business University, Beijing; 100048, China

Corresponding authors: Wang, Xiaoyi(sdwangxy@163.com); Wang, Xiaoyi(sdwangxy@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 370-382

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Nearly two-thirds of China’s population uses rice as their staple food. The safety of the rice supply chain is directly related to the health of the people and the prosperity of the country. Rice supply chain has the characteristics of long life cycle, complex participation roles of main links, many harmful species, multi-dimensional and multi-source heterogeneity of information and so on. The realization of dynamic supervision of rice supply chain is conducive to the guarantee and traceability of rice quality and safety. Driven by blockchain smart contract, a dynamic model suitable for the information flow characteristics of rice supply chain was constructed, and contractual implementation and prototype verification were carried out. Firstly, based on the analysis and classification of rice supply chain supervision information, a dynamic supervision model framework of rice supply chain was constructed based on blockchain smart contract. Secondly, under the logical framework of the regulatory model, six types of smart contracts, including initialization smart contract, data calling smart contract, model verification smart contract, smart contract for data transmission, contribution evaluation smart contracts, and credit assessment smart contract, were custom-designed. And the smooth operation of the model was analyzed. Finally, based on the dynamic supervision model and smart contract, the rice supply chain supervision prototype system was designed and developed. And simulation analysis and case verification were carried out. The results showed that the dynamic supervision model and prototype system constructed can solve the whole process real-time management of rice supply chain business information, hazard information and personnel information, and realize the dynamic and credible supervision of rice supply chain in the whole life cycle at the information level. The research presented a generation of information technology in the efficient coordination and resource sharing of food supply chain, and provided ideas for the digital transformation of the grain industry. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 30

Main heading: Smart contract

Controlled terms: Classification (of information)? - ?Food safety? - ?Food supply? - ?Human resource management? - ?Information management? - ?Life cycle? - ?Supply chains

Uncontrolled terms: Block-chain? - ?Dynamic supervision? - ?Long life cycles? - ?Multi dimensional? - ?Multi-Sources? - ?Prototype system? - ?Rice qualities? - ?Rice supply chain? - ?Staple food? - ?Supervision models

Classification code: 461.6 Medicine and Pharmacology? - ?716.1 Information Theory and Signal Processing? - ?822.3 Food Products? - ?902.3 Legal Aspects? - ?903.1 Information Sources and Analysis? - ?911.3 Inventory Control? - ?912 Industrial Engineering and Management? - ?912.2 Management? - ?912.4 Personnel? - ?913 Production Planning and Control; Manufacturing

DOI: 10.6041/j.issn.1000-1298.2022.01.040

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

33. Field Obstacle Detection Method of 3D LiDAR Point Cloud Based on Euclidean Clustering

Accession number: 20220811677261

Title of translation:

Authors: Shang, Yehua (1, 2); Zhang, Guangqiang (2); Meng, Zhijun (2); Wang, Hao (2); Su, Chunhua (3); Song, Zhenghe (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing; 100097, China; (3) Center of Agriculture Machinery Extension, Ministry of Agriculture and Rural Affairs, Beijing; 100122, China

Corresponding author: Song, Zhenghe(songzhenghe@cau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 23-32

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In response to the current needs of farmland obstacle detection in the automatic driving of agricultural machinery, a method of using three-dimensional LiDAR to detect field obstacles was proposed. Firstly, the collected environmental point cloud was preprocessed. The voxel grid down-sampling method was used to filter the dense point cloud without losing feature information. A bounding box was used to segment the region of interest for fast calculation. The random sample consensus algorithm (RANSAC) was used to detect the farmland ground, and the ground point cloud was removed from the whole point data so that the obstacle points were extracted. Then the obstacle point cloud was clustered by Euclidean distance based on the K-d tree, and the distance threshold of clustering was 0.6 m in this test. Finally, the size of the cluster and the volume of the circumscribed cuboid were judged, and invalid clusters that were too large or too small were filtered out to obtain obstacles. A LiDAR with 32 channels was used to collect field obstacle point cloud at National Experiment Station for Precision Agriculture in Beijing Xiaotangshan. The algorithm was used to detect agricultural implement, haystack, field ridge, low houses, roadside trees, and field pedestrian. The test showed that the algorithm was suitable for the field common obstacles detection. When detecting pedestrians in the field, the people crossed the front view of the LiDAR and the distances from the LiDAR respectively were 5 m, 10 m, 15 m, 20 m, 25 m and 30 m to test the effect of the algorithm at different distances. The results showed that the average detection rate of dynamically walking people in the field within 30 m was 96.11%. This algorithm can be used to detect obstacles in the field environment and can provide a basis for the research of obstacle avoidance strategies in agricultural machinery autonomous driving. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 35

Main heading: Obstacle detectors

Controlled terms: Automobile drivers? - ?Clustering algorithms? - ?Farms? - ?Image segmentation? - ?Optical radar? - ?Trees (mathematics)

Uncontrolled terms: Clusterings? - ?Detection methods? - ?Euclidean? - ?Euclidean clustering? - ?Field obstacle detection? - ?K-d tree? - ?LiDAR? - ?Obstacles detection? - ?Point-clouds? - ?Random sample consensus

Classification code: 432 Highway Transportation? - ?716.2 Radar Systems and Equipment? - ?741.3 Optical Devices and Systems? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?903.1 Information Sources and Analysis? - ?912.4 Personnel? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory

Numerical data indexing: Percentage 9.611E+01%, Size 1.00E+01m, Size 1.50E+01m, Size 2.00E+01m, Size 2.50E+01m, Size 3.00E+01m, Size 5.00E+00m, Size 6.00E-01m

DOI: 10.6041/j.issn.1000-1298.2022.01.003

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

34. Data Cleaning Method of No-tillage Seeder Monitoring Data Based on Multi-conditional Time Series

Accession number: 20220811678136

Title of translation:

Authors: Jiang, Hanlu (1, 2); Zhou, Liming (3); Ma, Ming (4); Li, Yang (3); Zhou, Yan (1, 2); Yuan, Yanwei (3)

Author affiliation: (1) Institute of Semiconductors, Chinese Academy of Sciences, Beijing; 100083, China; (2) College of Materials Science and Opto-Electronics Technology, University of Chinese Academy of Sciences, Beijing; 100049, China; (3) State Key Laboratory of Soil-Plant-Machine System Technology, Chinese Academy of Agricultural Mechanization Sciences, Beijing; 100083, China; (4) Agricultural Mechanization Management Center of Jilin Province, Changchun; 130062, China

Corresponding authors: Zhou, Yan(zhouyan@semi.ac.cn); Zhou, Yan(zhouyan@semi.ac.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 85-91

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Improving the prediction accuracy of working state of no-tillage seeder and cleaning the invalid data timely will improve the data quality and reduce the cache pressure of monitoring equipment. However, as the agricultural machinery moved back and forth in the farmland, monitoring equipment captured a large number of invalid images at both ends of the farmland or when the vehicle stopped. These images affected the accuracy of farmland operation quality evaluation and created congestion in transmission network. A data cleaning method based on multi-condition time series, mainly vehicle speed, seeding rate and instantaneous area, was proposed to deal with the periodic change of long time series of agricultural machinery in the farmland. The model included multiple long-short term memory (LSTM) and spatiotemporal feature channel fusion (CONCAT connect) to maintain the individual difference under multi-condition. The current time sequence state of the agricultural machinery working condition can be predicted, and the real-time cleaning state of the image capture system can be indirectly acquired. Due to screen and capture valid image from captured image every three minutes by cleaning state, the system achieved the maximum efficiency in transmission channel and memory space. The comparison results of different models after 40 iterations showed that the prediction accuracy of this method for both valid and invalid samples was over 85% and the average accuracy of image cleaning was 92.4%. The data cleaning results showed that about 63% of the redundant data was removed after data cleaning. Therefore, the research method took the working condition of no-tillage seeder as the basis of image cleaning was effective, which had high research value and application prospect. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Time series

Controlled terms: Agricultural machinery? - ?Cleaning? - ?Farms? - ?Forecasting? - ?Image processing? - ?Long short-term memory? - ?Traffic congestion

Uncontrolled terms: Cleaning methods? - ?Condition? - ?Data cleaning? - ?Monitor? - ?Monitoring equipment? - ?No-tillage seeders? - ?Prediction accuracy? - ?State prediction? - ?Times series? - ?Working parameters

Classification code: 723.2 Data Processing and Image Processing? - ?802.3 Chemical Operations? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.1 Agricultural Machinery and Equipment? - ?922.2 Mathematical Statistics

Numerical data indexing: Percentage 6.30E+01%, Percentage 8.50E+01%, Percentage 9.24E+01%

DOI: 10.6041/j.issn.1000-1298.2022.01.009

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

35. Assessment of Regional Agricultural Drought Vulnerability Based on Five-element Semipartial Subtraction Set Pair Potential

Accession number: 20220811679353

Title of translation:

Authors: Jin, Juliang (1, 2); Kong, Lingru (1, 2); Cui, Yi (1, 2); Zhou, Rongxing (1, 2); Chen, Menglu (1, 2); Ning, Shaowei (1, 2)

Author affiliation: (1) School of Civil Engineering, Hefei University of Technology, Hefei; 230009, China; (2) Institute of Water Resources and Environmental Systems Engineering, Hefei University of Technology, Hefei; 230009, China

Corresponding authors: Cui, Yi(cuiyi9007@163.com); Cui, Yi(cuiyi9007@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 340-348

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The agricultural drought vulnerability dynamic assessment is of great significance for the sustainable development of regional agriculture. In order to analyze the development trend of agricultural drought vulnerability evaluation subsystem and indexes, and identify the main indexes that affect the change of regional agricultural drought vulnerability, an adjoint function of connection number, which was the five-element semipartial subtraction set pair potential was constructed. Then, a dynamic evaluation model of regional agricultural drought vulnerability was established, application results of Bengbu City showed that, in the agricultural drought vulnerability evaluation system of Bengbu City, the overall trend of exposure subsystem from 2001 to 2010 was fluctuated between the symmetrical potential and the partial inverse potential, and it was developed towards the reduction of set pair potential. The agricultural drought vulnerability showed an increasing trend, the main index that had a great impact on the vulnerability in Bengbu City was multiple cropping, and it displayed a trend to the inverse potential. Furthermore, the development of damage sensitivity subsystem was fluctuated greatly, from 2001 to 2010, it was gradually developed from the partial inverse potential to the partial identical potential, and the evaluation results showed a positive trend. The decrease of unit added value for agricultural water consumption made an obvious improvement of agricultural drought vulnerability in Bengbu City. Moreover, in 2001-2009, the disaster prevention ability subsystem was in the partial inverse potential. After 2009, it was gradually changed to the symmetrical potential. Meanwhile, the vulnerability showed a slow improvement trend, and the primary influence factors were water-saving irrigation rate and per capita income of farmers. The research provided a scientific decision basis for improving the regional agricultural drought disasters vulnerability, and also provided an effective way to deal with the multi-level problems of complex systems. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Disaster prevention

Controlled terms: Agriculture? - ?Disasters? - ?Drought? - ?Inverse problems? - ?Risk assessment? - ?Water conservation? - ?Water supply

Uncontrolled terms: Agricultural drought? - ?Agriculture droughts? - ?Assessment of vulnerability? - ?Dynamic assessment? - ?Five-element semipartial subtraction set pair potential? - ?Pair potential? - ?Prevention and control of risk? - ?Prevention and controls? - ?Symmetrical potential? - ?Vulnerability evaluations

Classification code: 443.3 Precipitation? - ?444 Water Resources? - ?446.1 Water Supply Systems? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?914.1 Accidents and Accident Prevention

DOI: 10.6041/j.issn.1000-1298.2022.01.037

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

36. Design and Experiment of Zigzag Opener for Double-row No-tillage Seeding on Soybean Ridge

Accession number: 20220811677512

Title of translation:

Authors: Zhao, Shuhong (1); Yang, Luoluo (1); Zhang, Xin (1); Hou, Leitao (1); Yuan, Yiwen (1); Yang, Yueqian (1)

Author affiliation: (1) College of Engineering, Northeast Agricultural University, Harbin; 150030, China

Corresponding author: Yang, Yueqian(yangyueqian@126.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 74-84

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Under the corn-soybean rotation no-tillage planting mode, the corn root-soil combination is large and the ridge distribution is uneven, which hinders the ridge movement of the double-row sowing opener on the soybean ridge, resulting in the uniformity of the seeding depth and the consistency of the row spacing. For poor problems, a double-row sowing opener on a sawtooth soybean ridge was designed. Based on the description of the structure and working principle of the double-row sowing opener on the zigzag soybean ridge, the rake curve was designed, and the rake curve equation was deduced; the mechanical model of the side cutting root system was analyzed, and the side cutting was determined to be sawtooth. The agronomic measurement of the corn root-soil combination determined the key parameters of the sawtooth side edge; according to the agronomic requirements of soybean seeding, it was clear that the seed guide tube in the main body of the opener was arranged in a staggered manner, and the sawtooth opening was determined. The gap angle of the ditch device was 5°. The results of the discrete element simulation verification test showed that the sawtooth opener can effectively cut the corn root system and had better working stability, which verified the rationality of the design idea. Under the conditions of a forward speed of 7 km/h and a trenching depth of 50 mm, the field performance test was conducted with the root cutting rate as the main indicator. The results showed that the serrated side edge had a strong sawing ability, and the average root cutting rate was 97.25%. Field comparison experiments with double-disc openers showed that compared with double-disc openers, the coefficient of variation of trenching depth was reduced by 43.33%, and the coefficient of variation of transverse seed spacing was reduced by 60.81%. Both the simulation test and the field test showed that the sawtooth opener met the agronomic requirements of double-row sowing on no-till soybean ridges. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Compressive strength

Controlled terms: Agronomy? - ?Trenching

Uncontrolled terms: Discrete elements? - ?Double rows? - ?No tillage? - ?No-tillage sowing? - ?Opener? - ?Root cuttings? - ?Root system? - ?Sawteeth? - ?Side-cutting? - ?Soybean

Classification code: 619.1 Pipe, Piping and Pipelines? - ?821.3 Agricultural Methods

Numerical data indexing: Percentage 4.333E+01%, Percentage 6.081E+01%, Percentage 9.725E+01%, Size 5.00E-02m, Size 7.00E+03m

DOI: 10.6041/j.issn.1000-1298.2022.01.008

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

37. Topographic Factor Extraction Method Based on SRTM

Accession number: 20220811679377

Title of translation: SRTM

Authors: Zhang, Hongming (1); Chang, Yi (1); Yang, Qinke (2); Zhang, Quan (2); Dong, Liang (1); Xu, Yikun (1)

Author affiliation: (1) College of Information Engineering, Northwest A& F University, Yangling; 712100, China; (2) Department of Urbanology and Resource Science, Northwest University, Xi’an; 710069, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 205-214

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Topography is an important factor that affects soil erosion, which is usually measured by slope gradient and slope length (LS) in erosion estimation models, and extracted based on digital elevation model (DEM) on a vast area. SRTM, as currently high-quality and easily accessible elevation data on a vast area, has been applied in global soil erosion evaluation. However, the traditional algorithm for topographic factor extraction requires that the unit of elevation identical with cell size (usually meters), which makes SRTM need perform coordinate transformation before extraction. Aiming at the problem of high cost in performing coordinate transformation on SRTM data in a large area, an algorithm for extracting terrain factors directly was proposed based on SRTM (LSA-SRTM). The longitude and latitude information of the geographic coordinate system was used to directly calculate the cell size and the unit slope length. D8 method was used to acquire slope gradient and flow direction matrix. Then, the slope gradient cutoff was calculated according to the slope gradient result, the catchment area was calculated and the channel network cutoff was set, furtherly, the cumulative slope length was obtained by “forward-reverse traversal”. Finally, the LS factor was calculated according to the slope gradient, cumulative slope length and the segmentation formula of CSLE. Using Himmelblau-Orlandini mathematical surface and 1” SRTM of five typical samples in China as the data source, the LSA-SRTM method, the projected coordinate system DEM-based LS extraction algorithm (LSA-DEM) and manual measurement method were compared. On the mathematical surface and the typical sample area, the R2 of the slope length of LSA-SRTM method and the measured value were 0.855 2, 0.778 8, 0.726 9, 0.702 4, 0.690 9 and 0.725 5. The R2 of the LS and the measured value were 0.890 7, 0.820 9, 0.821 3, 0.714 2, 0.714 5 and 0.821 2. In terms of execution time, the LSA-SRTM method had high efficiency. The experiment results showed that the LSA-SRTM had higher accuracy and efficiency, which can provide a support for the study of topographic factor extraction in vast areas. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 39

Main heading: Surveying

Controlled terms: Catchments? - ?Digital instruments? - ?Efficiency? - ?Erosion? - ?Extraction? - ?Geomorphology? - ?Metadata? - ?Runoff? - ?Topography? - ?Tracking radar

Uncontrolled terms: Cell-size? - ?Co-ordinate system? - ?Coordinate transformations? - ?CSLE? - ?Cumulative slope length? - ?Digital elevation model? - ?Slope gradients? - ?Slope length? - ?Topographic factor? - ?Typical samples

Classification code: 405.3 Surveying? - ?442.1 Flood Control? - ?444.1 Surface Water? - ?481.1.1 Geomorphology? - ?716.2 Radar Systems and Equipment? - ?802.3 Chemical Operations? - ?913.1 Production Engineering? - ?951 Materials Science

DOI: 10.6041/j.issn.1000-1298.2022.01.023

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

38. Prediction of CO2 Concentration in Xinjiang Breeding Environment of Mutton Sheep Based on LightGBM-SSA-ELM

Accession number: 20220811677520

Title of translation: LightGBM-SSA-ELMCO2

Authors: Yin, Hang (1); Lü, Jiawei (1, 2); Chen, Yaocong (1, 3); Cen, Honglei (4); Li, Jingbin (4); Liu, Shuangyin (1, 5)

Author affiliation: (1) College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou; 510225, China; (2) Information Technology Research Center, Beijing Academy of Agricultural and Forestry Sciences, Beijing; 100097, China; (3) Guangdong Provincial Agricultural Products Safety Big Data Engineering Technology Research Center, Guangzhou; 510225, China; (4) College of Mechanical and Electric Engineering, Shihezi University, Shihezi; 832003, China; (5) Guangzhou Key Laboratory of Agricultural Products Quality and Safety Traceability Information Technology, Zhongkai University of Agriculture and Engineering, Guangzhou; 510225, China

Corresponding authors: Liu, Shuangyin(hdlsyxlq@126.com); Liu, Shuangyin(hdlsyxlq@126.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 261-270

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Air quality plays an important role in mutton sheep breeding environment, in order to reduce the stress response of CO2 to the growth of large-scale mutton sheep and ensure the healthy growth of mutton sheep in the appropriate environment, the key is to accurately control the CO2 in the mutton sheep breeding environment. A CO2 prediction model of mutton sheep breeding environment was proposed based on light gradient boosting machine (LightGBM), sparrow search algorithm (SSA) and extreme learning machine (ELM). Firstly, LightGBM was used to screen out the important characteristics of carbon dioxide concentration and reduce the input dimension of the prediction model. Then, ELM neural network algorithm with single hidden layer with strong nonlinear processing ability was used to build the CO2 prediction model. Finally, through the sparrow intelligent optimization algorithm, the super parameters needed in ELM model were optimized to obtain the best prediction model. The prediction model was applied to a large-scale mutton sheep breeding base in Manas County, Changji Hui Autonomous Prefecture, Xinjiang Uygur Autonomous Region, and good prediction results were obtained. The experimental results showed that the prediction model had good prediction effect, and the root mean square error (RMSE) of ELM was higher than that of SVR, BPNN, LSTM, GRU and LightGBM. The RMSE, mean absolute error (MAE) and R2 were 0.021 3 mg/L, 0.013 6 mg/L and 0.988 6, respectively. The results showed that the combined model can not only achieve accurate control of carbon dioxide in sheep house, but also meet the needs of fine decision-making for mutton sheep breeding. It also can help farmers make decisions and reduce farming risks. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 34

Main heading: Carbon dioxide

Controlled terms: Air quality? - ?Decision making? - ?Forecasting? - ?Knowledge acquisition? - ?Learning algorithms? - ?Long short-term memory? - ?Mean square error? - ?Multilayer neural networks? - ?Quality control

Uncontrolled terms: CO 2 concentration? - ?CO2 concentration prediction? - ?Concentration prediction? - ?Gradient boosting? - ?Intensive culture? - ?Light gradient boosting machine? - ?Light gradients? - ?Search Algorithms? - ?Sheep house? - ?Sparrow search algorithm

Classification code: 451.2 Air Pollution Control? - ?723.4 Artificial Intelligence? - ?723.4.2 Machine Learning? - ?804.2 Inorganic Compounds? - ?912.2 Management? - ?913.3 Quality Assurance and Control? - ?922.2 Mathematical Statistics

Numerical data indexing: Mass density 3.00E-03kg/m3, Mass density 6.00E-03kg/m3, Size 5.08E-02m

DOI: 10.6041/j.issn.1000-1298.2022.01.029

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

39. Optimal Model of Blueberry Greenhouse Light and Temperature Coordination

Accession number: 20220811677245

Title of translation:

Authors: Xu, Lihong (1); Xu, He (1); Wei, Ruihua (1)

Author affiliation: (1) College of Electronics and Information Engineering, Tongji University, Shanghai; 201804, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 360-369

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Photosynthesis directly affects the quality and growth of blueberries, and the rate of crop photons is mainly influenced by temperature and photon yield density. At present, most greenhouse control did not consider the coordination of light temperature, and the actual energy consumption of greenhouses, not only resulting in meaningless waste of energy, but also creating a greenhouse small-climate environment which reduced the efficiency of blueberry photosynthesis. In order to solve the above problems, considering the photosynthemum and greenhouse cooling energy consumption during the spring and summer when blueberry was in flower fruit period, and the temperature and lighting control value of greenhouse were optimized by multi-target optimization algorithm. Firstly, the blueberry photosynthing rate model with temperature correction was established, which was based on the results of the temperature and photon pass density nesting test. Using a right-angled bi-curve correction model with temperature correction to model the blueberry photosynthetic rate. The model fitting results had a coefficient of determination (R2) of 0.983 6, an average square root error of 0.570 1 μmol/(m2?s), and an average relative error of 3.86%, which can better reflect the relationship between blueberry photosynthing rate and temperature and light. Then a greenhouse energy consumption model was established, and the optimal solution of Pareto was solved by using NSGA- multi-objective optimization algorithm with greater net photosynthing rate and energy saving as the optimization goal. In order to further illustrate the optimization effect, different selection strategies were adopted for the optimization solution, which can reduce the energy consumption by about 21.3% while maintaining the photosynthetic rate of blueberries basically unchanged; under the premise of giving priority to planting benefits, the energy consumption can be reduced by 8.6% while the average increase of the photosynthetic rate by about 28.9%. The results can provide a theoretical basis for analyzing the physiological characteristics of crops and optimizing the greenhouse light temperature regulation setting. Greenhouse decision makers or control algorithms can use this method to set greenhouse temperature, light regulation settings. At the same time, the research method can also be applied to the setting value optimization of other crops which missing yield models in greenhouse production. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 29

Main heading: Greenhouses

Controlled terms: Crops? - ?Decision making? - ?Energy efficiency? - ?Energy utilization? - ?Light? - ?Multiobjective optimization? - ?Photons? - ?Photosynthesis? - ?Plants (botany)

Uncontrolled terms: Blueberry? - ?Economic benefits? - ?Energy-consumption? - ?Greenhonse? - ?Greenhouse light? - ?Light and temperature coordination? - ?Multi-objectives optimization? - ?Photosynthetic rate? - ?Photosynthetic rate model? - ?Rate models

Classification code: 525.2 Energy Conservation? - ?525.3 Energy Utilization? - ?741.1 Light/Optics? - ?802.2 Chemical Reactions? - ?821.4 Agricultural Products? - ?821.6 Farm Buildings and Other Structures? - ?912.2 Management? - ?921.5 Optimization Techniques? - ?931.3 Atomic and Molecular Physics

Numerical data indexing: Amount of substance 1.00E-06mol, Percentage 2.13E+01%, Percentage 2.89E+01%, Percentage 3.86E+00%, Percentage 8.60E+00%

DOI: 10.6041/j.issn.1000-1298.2022.01.039

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

40. Characteristics and Influencing Factors of Evapotranspiration and Net CO2 Exchange in Winter Wheat-Summer Maize Field

Accession number: 20220811679311

Title of translation: -CO2

Authors: Li, Cheng (1); Wang, Ranghui (2); Li, Zhaozhe (1); Xu, Yang (3)

Author affiliation: (1) College of Horticulture and Plant Protection, Yangzhou University, Yangzhou; 225009, China; (2) Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing University of Information Science and Technology, Nanjing; 210044, China; (3) College of Agriculture, Yangzhou University, Yangzhou; 225009, China

Corresponding author: Wang, Ranghui(rhwang@nuist.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 331-339

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming to reveal the synergistic effect of various factors on cropland evapotranspiration (ET) and net CO2 exchange (NEE) in the Huang-Huai-Hai Plain, a field experiment based on an eddy covariance technique was conducted at a typical winter wheat-summer maize field in Yucheng City, Shandong Province. Based on daily observation data of water and carbon fluxes from 2003 to 2010 and the structural equation model, the characteristics and influencing factors of ET and NEE were systematically analyzed. The results showed that the ET and NEE of different photosynthetic plants (e.g., wheat and maize) had significant differences. Seasonal variations of ET generally showed bimodal curves, with the first peak (in May) higher than the second one (in August) in each year. The ET in the wheat season fluctuated between 315.56 mm and 499.54 mm, with a multi-year average of 398.63 mm, whereas it fluctuated from 221.68 mm to 314.95 mm in the maize season, with a multi-year average of 256.59 mm. The significant trends of ET were found in these two different growing seasons (P2 and -149.93 g/m2, with a multi-year average of -272.57 g/m2, whereas it fluctuated from -469.63 g/m2 to -118.79 g/m2 in the maize season, with a multi-year average of -293.57 g/m2. The net radiation was an important factor affecting seasonal changes of the ET and NEE in this field, which were mainly found to impose direct effects on the ET and NEE. As for indirect effects, radiation and temperature had great indirect effects on the ET and NEE through the leaf area index in the wheat season, whereas the indirect effect of VPD were larger in the maize season. Additionally, other environmental factors, e.g., the soil water content and wind speed had different effects on the ET and NEE in different growing seasons. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 46

Main heading: Crops

Controlled terms: Carbon dioxide? - ?Ecosystems? - ?Evapotranspiration? - ?Radiation effects

Uncontrolled terms: Agro-ecosystems? - ?CO 2 exchange? - ?Growing season? - ?Indirect effects? - ?Net CO2 exchange? - ?Structural equation models? - ?Summer maize field? - ?Synergistic effect? - ?Winter wheat? - ?Winter wheat-summer maize field

Classification code: 454.3 Ecology and Ecosystems? - ?804.2 Inorganic Compounds? - ?821.4 Agricultural Products

Numerical data indexing: Linear density -1.1879E-01kg/m, Linear density -1.4993E-01kg/m, Linear density -2.7257E-01kg/m, Linear density -2.9357E-01kg/m, Linear density -3.6784E-01kg/m, Linear density -4.6963E-01kg/m, Size 2.2168E-01m to 3.1495E-01m, Size 2.5659E-01m, Size 3.1556E-01m to 4.9954E-01m, Size 3.9863E-01m

DOI: 10.6041/j.issn.1000-1298.2022.01.036

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

41. Research on Double Hump Phenomenon of Axial Flow Pump

Accession number: 20220811678480

Title of translation:

Authors: Xie, Rongsheng (1, 2); Hua, Ertian (1); Xu, Gaohuan (2); Guo, Xiaomei (2); Yang, Fan (3); Tang, Fangping (3)

Author affiliation: (1) College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou; 310023, China; (2) College of Mechanical and Automotive Engineering, Zhejiang University of Water Resources and Electric, Hangzhou; 310018, China; (3) Key Laboratory of Water Conservancy and Power Engineering of Jiangsu Province, Yangzhou University, Yangzhou; 225009, China

Corresponding author: Hua, Ertian(het@zjut.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 178-185

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to research the hydraulic stability of axial flow pump in the double hump region under small flow conditions, the relationship between the head-flow curve of the axial flow pump and the characteristics of the internal flow field was discussed, and a test and research on an axial flow pump with a specific speed of 825 was carried out. The internal and external hydraulic characteristics of the impeller under small flow conditions were obtained through the characteristic energy curve test, the internal flow field tracer particle trajectory was captured by a high-speed camera, the wall pressure pulsation collection, and the impeller inlet and outlet section velocity measurement by LDV equipment. According to the results of energy characteristics, it was found that there was a double hump phenomenon in the head-flow curve of the axial flow pump. The first hump appeared between 0.5QBEP and 0.6QBEP, corresponding to the tangential fluctuation of the speed on the side of the inlet flange, the rapid increase of the velocity circulation, and the extreme peak-to-peak pressure pulsation. The test results showed that the first hump was related to the generation of the impeller inlet reflux. The second hump occurred between 0.33QBEP and 0.4QBEP, the test results showed that the second hump was related to the drastic changes in the flow field of the impeller outlet. The impeller inlet reflux was generated during the second hump formation, although the strength was increasing and the influence range was wider, the pressure pulsation peak-to-peak value on the wall of the inlet side of the impeller chamber was no longer increased. The pressure pulsation peak-to-peak value on the wall of the outlet side of the impeller chamber was increased rapidly, and the unevenness of the velocity distribution between the outlet hub and the blades was obviously deteriorated, the reflux area of impeller outlet was increased, which indicated that the second hump was related to the drastic changes in the flow field of the impeller outlet. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 27

Main heading: Flow fields

Controlled terms: Axial flow? - ?High speed cameras? - ?Impellers? - ?Pumps? - ?Testing? - ?Velocity distribution? - ?Wall flow

Uncontrolled terms: Axial flow pump? - ?Double hump? - ?Field test? - ?Flow condition? - ?Flow curves? - ?Flow field test? - ?Hydraulic characteristic? - ?Impeller inlets? - ?Impeller outlet? - ?Pressure pulsation

Classification code: 601.2 Machine Components? - ?618.2 Pumps? - ?631.1 Fluid Flow, General? - ?742.2 Photographic Equipment? - ?922.2 Mathematical Statistics

DOI: 10.6041/j.issn.1000-1298.2022.01.019

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

42. Calibration of Discrete Element Simulation Parameters of Sloping Soil on Loess Plateau and Its Interaction with Rotary Tillage Components

Accession number: 20220811678129

Title of translation:

Authors: Sun, Jingbin (1, 2); Liu, Qi (1, 2); Yang, Fuzeng (1, 2); Liu, Zhijie (1, 2); Wang, Zheng (3)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A& F University, Yangling; 712100, China; (2) Scientific Observing and Experimental Station of Agricultural Equipment for the Northern China, Ministry of Agriculture and Rural Affairs, Yangling; 712100, China; (3) College of Forestry, Northwest A& F University, Yangling; 712100, China

Corresponding authors: Yang, Fuzeng(yangfzkm@nwafu.edu.cn); Yang, Fuzeng(yangfzkm@nwafu.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 63-73

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problem of lack of accurate and reliable discrete element simulation parameters for the research on the interaction mechanism of soil-rotary tillage components with sloping soil on the Loess Plateau and the optimized design of special rotary tillage equipment, taking the typical slope clay loam soil with common moisture content of 13.4%±1% on the Loess Plateau as the research object, the relevant parameters were calibrated based on Hertz-Mindlin with JKR Cohesion contact model in EDEM. Firstly, the contact parameters between soil particles were calibrated. The simulated accumulation angle of soil particles was used as the response value, the regression model of soil accumulation angle was obtained based on the Box-Behnken optimization method in the Design-Expert software. The regression model was optimized by using the measured accumulation angle as the target, and the optimization results of restitution coefficient, static friction coefficient, rolling friction coefficient and surface energy parameters between soil particles were 0.15, 0.33, 0.05 and 9.04 J/m2, respectively. Under the optimal parameter combination, the simulation value of soil accumulation angle was 41.59°, and the relative error with the measured value was 3.8%. Then, the contact parameters between soil and rotary tillage knife material 65Mn steel were calibrated. The numerical range of the above three parameters between soil and 65Mn steel was obtained by static friction test, oblique plate test and impact test. Based on this, the static sliding friction angle of soil on 65Mn steel was obtained based on Box-Behnken optimization method. The regression model was optimized by using the measured static sliding friction angle as the target, and the optimization results of static friction coefficient, rolling friction coefficient and restitution coefficient between soil particles and 65Mn steel were 0.50, 0.06 and 0.18, respectively. Under the optimal parameter combination, the simulation value of static sliding friction angle was 24.0°, and the relative error with the measured value was 1.7%. Finally, through the comparative analysis of field test and simulation test of slope rotary tillage, it was concluded that the maximum relative errors of horizontal and lateral displacement of soil particles were 4.3% and 5.1% respectively, within the acceptable range. It showed that the calibration results and research methods of discrete element simulation parameters were accurate and reliable. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 32

Main heading: Landforms

Controlled terms: Agricultural machinery? - ?Agriculture? - ?Errors? - ?Finite difference method? - ?Mechanization? - ?Regression analysis? - ?Soils

Uncontrolled terms: 65Mn steel? - ?Discrete elements method? - ?Discrete-element simulations? - ?Loess Plateau? - ?Parameters calibrations? - ?Regression modelling? - ?Rotary tillages? - ?Simulation parameters? - ?Sloping soil? - ?Soil particles

Classification code: 481.1 Geology? - ?483.1 Soils and Soil Mechanics? - ?601 Mechanical Design? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.1 Agricultural Machinery and Equipment? - ?921.6 Numerical Methods? - ?922.2 Mathematical Statistics

Numerical data indexing: Energy 5.00E-02J, Energy 9.04E+00J, Percentage 1.00E00%, Percentage 1.34E+01%, Percentage 1.70E+00%, Percentage 3.80E+00%, Percentage 4.30E+00%, Percentage 5.10E+00%

DOI: 10.6041/j.issn.1000-1298.2022.01.007

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

43. Remote Sensing Recognition of Plastic-film-mulched Farmlands on Loess Plateau Based on Google Earth Engine

Accession number: 20220811677389

Title of translation: Google Earth Engine

Authors: Zheng, Wenhui (1, 2); Wang, Runhong (1, 2); Cao, Yinxuan (1, 2); Jin, Ning (3); Feng, Hao (2, 4); He, Jianqiang (1, 2)

Author affiliation: (1) Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Area, Ministry of Education, Northwest A& F University, Yangling; 712100, China; (2) Institute of Water-saving Agriculture in Arid Areas of China, Northwest A& F University, Yangling; 712100, China; (3) Department of Resources and Environment, Shanxi Institute of Energy, Jinzhong; 030600, China; (4) Institute of Water and Soil Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling; 712100, China

Corresponding authors: He, Jianqiang(jianqiang_he@nwsuaf.edu.cn); He, Jianqiang(jianqiang_he@nwsuaf.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 224-234

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Plastic-film-mulching has made an outstanding contribution to agricultural production and food security in China, but also caused many serious environmental problems. It is very important to quickly and accurately obtain the spatial distribution information of plastic-mulched farmlands. In order to establish a framework for remote sensing recognition of plastic-film-mulched farmland, the Tuanjie Town of Dingxi City in Gansu Province was chosen as the research area, which was a typical dry farming agricultural area with heavy plastic film application on the Loess Plateau. Based on the Google Earth Engine, Landsat-8 reflectance data was used to analyze the importance of different features and select the optimal textural features. Then, the random forest (RF) algorithm with optimized parameters was used to extract the plastic-film-mulched farmland area and select the best feature combination. Finally, based on the best feature combination, the performance of RF algorithm was evaluated through comparison between the classification results based on the other algorithms of support vector machines (SVM), decision tree (DT), and minimum distance classifier (MDC), respectively. The results showed that the optimized parameters of RF algorithm could greatly improve the classification accuracy. Among the schemes based on single kind of features, the accuracy of scheme based on spectral features was the highest. The addition of index and textural features could also improve the overall identification accuracy to some extent. The performance of the selected optimal texture features was better than that of all texture features. The recognition result based on the combination of ‘spectral + index + optimal textural features’ was the best, whose overall accuracy and Kappa coefficient were 95.05% and 0.94, respectively. The overall accuracy of RF algorithm was 3.10 percentage points, 7.74 percentage points and 50.78 percentage points higher than the algorithms of SVM, DT and MDC, respectively, which proved the RF algorithm had some obvious advantages in recognition of plastic-film-mulched farmlands. The research realized an accurate identification of plastic-film-mulched farmlands in areas with complex terrain features in China. The results can provide theory and technology supports for the studies related to spatial variations and sustainability production with plastic film mulching in the near future. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 46

Main heading: Feature extraction

Controlled terms: Decision trees? - ?Engines? - ?Farms? - ?Landforms? - ?Parameter estimation? - ?Remote sensing? - ?Support vector machines? - ?Sustainable development? - ?Textures

Uncontrolled terms: Features selection? - ?Google earth engine? - ?Google earths? - ?Loess Plateau? - ?Plastic-film? - ?Plastic-film-mulched farmland? - ?Random forest algorithm? - ?Random forests? - ?Remote sensing recognition? - ?Remote-sensing

Classification code: 481.1 Geology? - ?723 Computer Software, Data Handling and Applications? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory? - ?961 Systems Science

Numerical data indexing: Percentage 9.505E+01%

DOI: 10.6041/j.issn.1000-1298.2022.01.025

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

44. Design and Experiment of Adjustable Spacing End-effector Based on Cylindrical Cam

Accession number: 20220811677503

Title of translation:

Authors: Cui, Yongjie (1, 2); Wei, Yongzhe (1); Ding, Xinting (1); Cui, Gongpei (1, 2); He, Zhi (1, 3); Wang, Minghui (1)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A& F University, Yangling; 712100, China; (2) Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling; 712100, China; (3) Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling; 712100, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 104-114 and 122

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The sparse planting and transplanting of plug seedlings is a key step in the cultivation of seedlings in facility agriculture, which can provide an excellent growth environment for seedlings and increase production and income. Aiming at the problems of low automation degree of adjustable plant spacing equipment, inefficient manual work, vulnerable to seedling damage and injury in the process of thinning and transplanting, a plant spacing adjustable seedling end-effector was designed based on cylindrical cam, which can realize thinning and transplanting between different plant spacings. First of all, the overall structure of the end-effector was designed and its working principle was determined. Secondly, through theoretical analysis, the key parameters of the cylindrical cam and the finger were determined, and the stress condition under operation was analyzed. Thirdly, EDEM and Recur Dyn were used to establish a composite model of seeding bowl root-soil for coupling simulation single factor simulation test, and the factor range of subsequent orthogonal test was determined. Finally, a transplanting test platform for plug seedlings was built, and orthogonal tests were carried out with the seedling needle included angle, penetrating angle, seedling needle spacing and variable pitch speed as test factors, and the seeding bowl deformation quantity and the transplanting success rate as test indexes. The experimental results showed that the primary and secondary influence order of test factors on the seeding bowl deformation quantity were penetrating angle, variable pitch speed, seedling needle included angle, seedling needle spacing. And the primary and secondary influence order of test factors on the transplanting success rate were seedling needle spacing, penetrating angle, pitch change speed, seedling needle included angle. The verification test was carried out under the optimal parameter combination with seedling needle angle of 10°, penetrating angle of 4°, seedling needle spacing of 8 mm, and pitch change speed of 5 mm/s, and the plug seedlings were transplanted from 128-cell to 72-cell and from 72-cell to 50-cell respectively. The average seeding bowl deformation quantity of 128-cell was (1.13±0.68) mm, and the average seeding bowl deformation quantity of 72-cell was (1.51±0.64) mm. The total success rate of transplant was 93.33%, and the transplanting efficiency of the whole machine was 22 plants/min. It satisfied the needs of different plug tray specifications and had strong applicability. The research result can provide theoretical basis and technical support for the research of the thinning and transplanting operation device. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Deformation

Controlled terms: Agricultural machinery? - ?Cams? - ?Crops? - ?Cultivation? - ?Efficiency? - ?End effectors? - ?Needles? - ?Seed

Uncontrolled terms: Coupling simulation? - ?Cylindrical cam? - ?Orthogonal test? - ?Pitch changes? - ?Plant spacing? - ?Plug seedling? - ?Secondary influences? - ?Thinning and transplanting? - ?Thinnings? - ?Variable pitch

Classification code: 601.3 Mechanisms? - ?731.5 Robotics? - ?821.1 Agricultural Machinery and Equipment? - ?821.3 Agricultural Methods? - ?821.4 Agricultural Products? - ?913.1 Production Engineering

Numerical data indexing: Percentage 9.333E+01%, Size 8.00E-03m, Velocity 5.00E-03m/s

DOI: 10.6041/j.issn.1000-1298.2022.01.011

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

45. Classification Model of Grape Downy Mildew Disease Degree in Field Based on Improved Residual Network

Accession number: 20220811679282

Title of translation:

Authors: He, Dongjian (1, 2); Wang, Peng (1, 2); Niu, Tong (1, 2); Mao, Yanru (1, 3); Zhao, Yanru (2, 3)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 235-243

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In view of the inefficiency and lag of the traditional artificial diagnosis and classification methods for grape downy mildew, an improved residual network model for grape downy mildew identification and disease degree classification was proposed. The images of downy mildew in the prophase, metaphase, anaphase and healthy leaves were collected in the field, and the effects of the factors of weather, shooting angle and equipment noise were simulated to increase the data capacity. Based on the characteristics of high similarity and difficult to distinguish between leaves with different disease degrees, by using the optimized ResNet-50 model, a 3×3 maximum pool layer with step size of 2 was added into the Base Block of Conv3, Conv4 and Conv5 (the residual body composed of several residual blocks) to solve the problem of serious information loss of the shortcut branch and the insufficient feature extraction ability of the main branch, so as to achieve dimensionality reduction of retaining important information. The main branch structure of the residual block in the ID Block was improved, and the 1×1 dimensionality reduction convolution layer in the first layer was replaced by 3×3 dimensionality reduction convolution layer with a step of 1; a newly full connection layer was designed, in which the global average pooling and 3 layer full connection layer network were used to replace the original model full connection layer structure, and the Dropout (random inactivation) layer was added to avoid the model over fitting. The experimental results of the original data set and the expanded data set showed that when the momentum factor m was 0.60 and the learning rate α was 0.001, the improved ResNet-50 network model had the best recognition effect compared with ResNet-34/50/101, AlexNet, VGG-16 and GoogLeNet. The improved residual block enhanced the feature extraction ability of the network. On the basis of optimizing the super parameters, the accuracy of the improved residual block was 2.31 percentage points higher than that of the original model. Different data augmentation methods had certain contribution to improve the recognition accuracy of the model. The recognition accuracy of the improved residual network model was 4.68 percentage points higher than that of the original model, reached 99.92%, which provided a real-time and accurate solution for automatic classification of grape downy mildew disease degree in complex environment. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 28

Main heading: Feature extraction

Controlled terms: Classification (of information)? - ?Computer aided diagnosis? - ?Convolution? - ?Deep learning? - ?Extraction? - ?Fungi? - ?Network layers

Uncontrolled terms: Data set? - ?Deep learning? - ?Dimensionality reduction? - ?Disease degree? - ?Downy mildew? - ?Features extraction? - ?Grape? - ?Network models? - ?Original model? - ?Residual network

Classification code: 461.1 Biomedical Engineering? - ?461.4 Ergonomics and Human Factors Engineering? - ?716.1 Information Theory and Signal Processing? - ?723 Computer Software, Data Handling and Applications? - ?723.5 Computer Applications? - ?802.3 Chemical Operations? - ?903.1 Information Sources and Analysis

Numerical data indexing: Percentage 9.992E+01%

DOI: 10.6041/j.issn.1000-1298.2022.01.026

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

46. Contribution and Potential of Comprehensive Utilization of Straw in GHG Emission Reduction and Carbon Sequestration

Accession number: 20220811677244

Title of translation:

Authors: Huo, Lili (1, 2); Yao, Zonglu (1, 2); Zhao, Lixin (1, 2); Luo, Juan (1, 2); Zhang, Peizhen (1, 2)

Author affiliation: (1) Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing; 100081, China; (2) Center for Carbon Neutrality in Agriculture and Rural Region, Chinese Academy of Agricultural Sciences, Beijing; 100081, China

Corresponding authors: Zhao, Lixin(zhaolixin5092@163.com); Zhao, Lixin(zhaolixin5092@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 349-359

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: It is vital to promote the comprehensive utilization of straw for enhancing the ability of agriculture and rural areas to reduce carbon emissions and fix carbon. Based on the IPCC Guidelines (2006) greenhouse gas (GHG) emission accounting theoretical framework, and in view of the problems of unclear base and unclear bases of GHG emission factors in the comprehensive utilization of straw, an evaluation method for the comprehensive utilization of straw was constructed, the scope and boundary of the evaluation was clarified, the GHG emission factors were scientifically calculated and the carbon-reduction base of different straw utilization technologies were evaluated. Based on different scenarios, the emission reduction and carbon sequestration potential of comprehensive utilization of straw by 2030 and 2060 was predicted. The results showed that the GHG emission reduction contribution of comprehensive utilization of straw in 2020 was 70 million tCO2e. Among them, the GHG emission from open burning and natural decomposition was 5.6×107 tCO2e, and the GHG emission reduction from comprehensive utilization of straw was 1.26×108 tCO2e. The emission reduction of straw fertilizer and energy utilization were the highest, with emission reduction of 7.9×107 tCO2e and 3.8×107 tCO2e, respectively. It was estimated that the GHG emission reduction and carbon sequestration contribution potential of comprehensive utilization of straw by 2030 and 2060 would be 1.52×108~1.72×108 tCO2e and 2.20×108~2.73×108 tCO2e, respectively. The contribution of straw fertilizer to emission reduction in comprehensive utilization was the highest and continued to increase steadily, and it was estimated that the contribution to emission reduction in 2030 and 2060 would account for 40.7% and 31.9%, respectively. Straw energy utilization had the greatest emission reduction potential, and it was estimated that the contribution to emission reduction in 2030 and 2060 would be 55.2% and 62.8%, respectively. Therefore, the dual carbon reduction effects of soil/forest carbon sinks and fossil energy substitution should be paid attention in comprehensive utilization of straw. Adhere to the principle of agriculture-oriented and diversified utilization, increasing efforts to promote full-scale utilization, reducing GHG emissions from incineration, and making full use of straw in reducing carbon emissions, can provide support for achieving the goal of carbon neutrality. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 57

Main heading: Greenhouse gases

Controlled terms: Agriculture? - ?Carbon? - ?Emission control? - ?Energy utilization? - ?Fertilizers? - ?Gas emissions? - ?Soils? - ?Straw

Uncontrolled terms: Agriculture and rural? - ?Carbon emissions? - ?Carbon reduction? - ?Carbon sequestration? - ?Comprehensive utilizations? - ?Emission factors? - ?Emission reduction? - ?Greenhouse gas emission reduction? - ?Greenhouse gas emissions? - ?Greenhouses gas

Classification code: 451.1 Air Pollution Sources? - ?451.2 Air Pollution Control? - ?483.1 Soils and Soil Mechanics? - ?525.3 Energy Utilization? - ?804 Chemical Products Generally? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.2 Agricultural Chemicals? - ?821.5 Agricultural Wastes

Numerical data indexing: Percentage 3.19E+01%, Percentage 4.07E+01%, Percentage 5.52E+01%, Percentage 6.28E+01%

DOI: 10.6041/j.issn.1000-1298.2022.01.038

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

47. Distribution Characteristics of Salinity and Nutrients in Salinized Soil Profile and Estimation of Salt Migration

Accession number: 20220811678461

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: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 279-290 and 330

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problem of soil salinization in salinized irrigation areas, taking Wulate Irrigation Area in the lower reaches of the Hetao Irrigation District, Inner Mongolia as the research area, through the combination of field test and indoor test analysis, the redundancy analysis method was used to explore the correlation between salt segregation elements and total salt, pH value, and nutrients in the root layer soil (0~20 cm, 20~40 cm) in spring and autumn on the salinized improved cultivated land and wasteland, and its change characteristics and quantitative relationship were clarified, and the salt migration of 1m soil between the improved cultivated land and the wasteland in the experimental area was estimated. The results showed that the anions of the improved farmland and wasteland soil were mainly Cl-, accounting for 45.27% and 58.78% of the total anions, respectively, and the cations were mainly Na+, accounting for 60.67% and 53.94% of the total cations respectively. The total salt content of wasteland exceeded 7.0 g/kg on average, and the degree of soil salinization was relatively serious. Redundancy analysis showed that SO42-, Cl- and Ca2+ played the leading role in improving the total salt content of cultivated soil, and Cl-, Mg2+ and Na+ played the leading role in the total salt content of wasteland soil. The change of soil pH value was mainly related to HCO3-. Improved cultivated land had a significant negative correlation between available phosphorus and Na+ (P+ (P+ (P+ had the most important impact on total salt, pH value, and soil nutrients, followed by Ca2+; in wasteland, Na+ had the most important impact on total salt, pH value, and soil nutrients, followed by K+. In one growth cycle of crops, the amount of salt accumulated in 1 m of wasteland soil was 939 842 kg/hm2. Groundwater replenishment brought salt into the soil, accounting for 70.06% of the salt accumulation. The salt transferred from the cultivated land groundwater to the wasteland during the irrigation period was concentrated in the 60~100 cm soil and accounted for 22.83% of the salt accumulation. The amount of salt that the cultivated land penetrated into the wasteland was 7.11% of the salt accumulation. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 45

Main heading: Land use

Controlled terms: Farms? - ?Irrigation? - ?Nutrients? - ?pH? - ?Phosphorus? - ?Positive ions? - ?Redundancy? - ?Soils

Uncontrolled terms: Cultivated lands? - ?Irrigation districts? - ?pH value? - ?Redundancy analysis? - ?Relationship? - ?Research object? - ?Salinized irrigation district? - ?Salt content? - ?Salt ions? - ?Salt migration

Classification code: 403 Urban and Regional Planning and Development? - ?483.1 Soils and Soil Mechanics? - ?801.1 Chemistry, General? - ?804 Chemical Products Generally? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.3 Agricultural Methods

Numerical data indexing: Mass 7.00E-03kg, Mass 8.42E+02kg, Percentage 2.283E+01%, Percentage 4.527E+01%, Percentage 5.394E+01%, Percentage 5.878E+01%, Percentage 6.067E+01%, Percentage 7.006E+01%, Percentage 7.11E+00%, Percentage 7.138E+01%, Percentage 7.165E+01%, Percentage 8.902E+01%, Percentage 8.916E+01%, Size 0.00E00m to 2.00E-01m, Size 1.00E00m, Size 2.00E-01m to 4.00E-01m, Size 6.00E-01m to 1.00E00m

DOI: 10.6041/j.issn.1000-1298.2022.01.031

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

48. Effects of Successive Application of Biochar on Soil Improvement and Maize Yield of Black Soil Region

Accession number: 20220811678666

Title of translation:

Authors: Wei, Yongxia (1, 2); Zhu, Tianyu (1); Liu, Hui (2, 3)

Author affiliation: (1) School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin; 150030, China; (2) Key Laboratory of High Efficient Utilization of Agricultural Water Resources, Ministry of Agriculture and Rural Affairs, Northeast Agricultural University, Harbin; 150030, China; (3) School of Science, Northeast Agricultural University, Harbin; 150030, China

Corresponding authors: Liu, Hui(xiaolaida@163.com); Liu, Hui(xiaolaida@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 291-301

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to study the effects of biochar application on soil structure, water holding capacity, maize yield and sustainability of sloping farmland in black soil area, four consecutive years of biochar effect experiments were carried out in the runoff plot of 3° sloping farmland in black soil area from 2015. A total of five biochar application rates C0(0 t/hm2), C25(25 t/hm2), C50(50 t/hm2), C75(75 t/hm2) and C100(100 t/hm2) were set. The results showed that soil bulk density was decreased with the increase of biochar in the four years, and porosity was increased gradually. Appropriate amount of biochar can effectively reduce the proportion of soil solid phase and improve the proportion of gas phase and liquid phase. In addition to 2015, the generalized soil structure index (GSSI) was increased first and then decreased with the increase of biochar application rate for three consecutive years, and the three-phase structure distance index (STPSD) was decreased first and then increased with the increase of biochar application rate, reaching the optimal values (99.96, 0.63) in the third year of C50 treatment. At the same time, the soil three-phase ratio R was the smallest (1.03), and the three-phase ratio was the closest to the ideal state. For four consecutive years, the aggregate content R0.25, mean mass diameter (MWD) and geometric mean diameter (GMD) were increased first and then decreased with the increase of biochar application rate. Adding 50 t/hm2 biochar for three consecutive years had the best effect on improving soil stability. The saturated moisture content was positively correlated with carbon application rate for four consecutive years. In addition to 2015, the field water holding rate was increased first and then decreased with the increase of carbon application rate, and reached the optimal treatment at C100, C50, C50 and C25, respectively. The peak value was 37.33% at C25 in 2018. The change rule of soil effective moisture content and field water holding capacity was the same. Soil water storage in 0~60 cm soil layer of maize at different growth stages was increased first and then decreased. Soil water storage in 60~100 cm soil layer was negatively correlated with carbon application rate. The maize yield sustainability index (SYI) reached the maximum at C50 (0.954), and the coefficient of variation (CV) was the lowest at C100 (0.022). Annual application of 50 t/hm2 biochar to promote maize yield stability and sustainability effect was the most obvious. ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 47

Main heading: Sustainable development

Controlled terms: Aggregates? - ?Carbon? - ?Farms? - ?Liquids? - ?Moisture determination? - ?Phase structure? - ?Soil moisture? - ?Water content

Uncontrolled terms: Biochar? - ?Black soil regions? - ?Farm land? - ?Maize? - ?Slopping farm land of black soil region? - ?Soil structure? - ?Soil water holding capacity? - ?Soil water holdings? - ?Soil-structure? - ?Sustainability yield index ? - ?Water-holding capacity

Classification code: 406 Highway Engineering? - ?412.2 Concrete Reinforcements? - ?483.1 Soils and Soil Mechanics? - ?804 Chemical Products Generally? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?931.2 Physical Properties of Gases, Liquids and Solids? - ?933 Solid State Physics? - ?944.2 Moisture Measurements

Numerical data indexing: Percentage 3.733E+01%, Size 0.00E00m to 6.00E-01m, Size 6.00E-01m to 1.00E00m

DOI: 10.6041/j.issn.1000-1298.2022.01.032

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

49. Design and Test of Double Crank Planar Five-bar Reel in Rape Windrower

Accession number: 20220811679419

Title of translation:

Authors: Zhang, Min (1); Jin, Mei (1); Wang, Gang (1); Liang, Suning (1); Wu, Chongyou (1)

Author affiliation: (1) Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing; 210014, China

Corresponding author: Wu, Chongyou(542681935@qq.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 53

Issue: 1

Issue date: January 25, 2022

Publication year: 2022

Pages: 115-122

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problems such as easy winding and hanging of the reel of rape windrower, a double crank plane five-bar reel mechanism was proposed, and the kinematic analysis model of the reel mechanism was established. According to the constraints of the double crank plane five-bar mechanism, based on the compiled reel finger movement analysis program, a set of structural parameter combinations of the reel mechanism meeting the requirements of rape cutting reel was obtained by human-computer interaction. The movement requirements of the reel’s finger for low-speed entry, accelerated push, fast delivery and finger upturned was realized. Compared with the eccentric reel, the dynamic trajectory of the reel was increased at the same turning radius and revolving speed. Height and width of the reel buckle of the reel finger dynamic trajectory were increased. The influence of the initial structure angle of the reel and the advancement speed of the machine on the motion state, speed, acceleration and trajectory of the reel finger was analyzed. The analysis showed that the speed of the reel finger was changed at a non-uniform speed during a rotation period, the reel finger speed was changed slowly during the reeling process, and there was no sudden change in acceleration. By reasonably matching the reel rotation speed and the forward speed of the machine, zero-speed lifting of the grains could be realized, the impact on the rape head was small, and the twine was reduced. The comparative analysis showed that the ratio of the reel linear velocity of the double crank plane five-bar mechanism reel can be obtained by approximately calculating the circumferential linear velocity of the finger tip static trajectory with the reel axis as the center and the minimum inscribed circle radius as the length at a constant rotated speed. A comparative test of double crank plane five-bar mechanism reel and cam-action reel for rape swathing was carried out. Field experiments showed that the laying angle and angle difference was respectively less than or equal to 25° and 8° of the windrower with double crank planar five-bar mechanism reel under the same test conditions. The effect of the reel speed on the laying angle was not significant (P=0.165> 0.1), and the difference of the reel type had an extremely significant effect on the laying angle (P=0.002 0.1), the reel difference had a significant influence on the laying angle difference (P=0.015 ? 2022, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Trajectories

Controlled terms: Bars (metal)? - ?Human computer interaction? - ?Kinematics? - ?Reels? - ?Rotation

Uncontrolled terms: Angle difference? - ?Design and tests? - ?Double crank planar five-bar mechanism? - ?Dynamic trajectories? - ?Five-bar mechanism? - ?Linear velocity? - ?Planar five-bar mechanisms? - ?Rape? - ?Rape windrower? - ?Windrowers

Classification code: 535.1.2 Rolling Mill Practice? - ?691.2 Materials Handling Methods? - ?931.1 Mechanics

DOI: 10.6041/j.issn.1000-1298.2022.01.012

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village