2024年第9期

2024年第9期

2024年第9期共收录41篇

1. Design of Monitoring System for Heat Pump Grain Low Temperature Circulating Dryer Based on Internet of Things

Accession number: 20243917117962

Title of translation: 基于物联网的热泵式低温循环粮食烘干机监控系统硏究

Authors: Zuo, Yi (1); Liu, Haolu (2); Chen, Zixuan (2); Zhang, Shihang (1); Wang, Shouyuan (1); Chen, Kunjie (1)

Author affiliation: (1) College of Engineering, Nanjing Agricultural University, Nanjing; 210031, China; (2) Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing; 210014, China

Corresponding author: Chen, Kunjie(kunjiechen@njau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 442-449

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of backward monitoring means and low information level of heat pump low-temperature circulating food dryer, a monitor and control system of heat pump low-temperature circulating food dryer based on the Internet of things was designed and developed. The architecture design of the system used perception layer, transmission layer and application layer, and the system took programmable logic controller ( PLC) and HMI touch screen as the core to design and develop a control system to realize real-time monitoring, graphical display, safety protection and automatic control of dryers and heat pumps. The server system framework was developed by Linux CentOS system. The data connected by EG8000mini module was sent to AP base station and stored in database. Users can remotely monitor and control the heat pump low temperature circulating food dryer through computer or mobile APP. The experimental results showed that the communication success rate of the system was higher than 98% , and the average absolute error of real-time detection of ambient temperature, hot air temperature, hot air humidity and hot air wind speed was 0. 3°C , 0. 26°C , 1. 2% and 0. 47 m/s, respectively, which can meet the remote monitor and control requirements of heat pump type low temperature circulation dryer. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 27

Main heading: Programmable logic controllers

Controlled terms: Analog storage? - ?C (programming language)? - ?Digital storage? - ?Heat pump systems? - ?Low temperature drying? - ?Programmed control systems? - ?Touch screens

Uncontrolled terms: Architecture designs? - ?Grain dryers? - ?Heat pumps? - ?Hot air? - ?Information levels? - ?Lows-temperatures? - ?Monitor and control systems? - ?Monitoring system? - ?Real time monitoring? - ?Temperature (hot)

Classification code: 1103.1 ? - ?1103.2 ? - ?1106.1.1 ? - ?306.1 ? - ?731.1 Control Systems? - ?732.1 Control Equipment? - ?802.3 Chemical Operations

Numerical data indexing: Percentage 2.00E+00%, Percentage 9.80E+01%, Temperature 2.76E+02K, Temperature 2.99E+02K, Velocity 4.70E+01m/s

DOI: 10.6041/j.issn.1000-1298.2024.09.039

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

2. Identification of Winter Wheat in Huang Huai Hai Plain Based on Different Time Scales and Feature Preference

Accession number: 20243917117963

Title of translation: 基于不同时间尺度与特征优选的黄淮海平原冬小麦识别

Authors: Zhou, Junwei (1, 2); Feng, Hao (1, 3); Dong, Qin’ge (1, 3)

Author affiliation: (1) The Research Center of Soil and Water Conservation and Ecological Environment, Chinese Academy of Sciences and Ministry of Education, ( Institute of Soil and Water Conservation Chinese Academy of Sciences and Ministry of Water Resources), Shaanxi, Yangling; 712100, China; (2) University of Chinese Academy of Sciences, Beijing; 100049, China; (3) College of Soil and Water Conservation Science and Engineering, Northwest a and F University, Shaanxi, Yangling; 712100, China

Corresponding author: Dong, Qin’ge(qgdong2011@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 262-274

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Monitoring regional crop acreage accurately and promptly is critical for ensuring food security and promoting sustainable agricultural development in China. The Google Earth Engine ( GEE) cloud platform, along with fused Sentinel - 1 SAR radar and Sentinel - 2 SR surface reflectance imagery were employed to classify winter wheat in 2021 within the Huang - Huai - Hai Plain. The Sentinel time series data were synthesized and smoothed across various temporal scales, and a prioritization of polarization features, spectral features, vegetation index, harmonic coefficients, and textural features were conducted to explore their impacts on the accuracy and generalization ability of winter wheat identification in the region. The results showed that the feature optimization process improved the classification accuracy of the model, and the spectral features were the most significant, followed by harmonic coefficients, polarization, and textural features. Reducing the time scale of image sequences led to higher classification accuracy, with overall accuracies of 95. 4% , 95. 6% , and 96. 4% for 30 d, 20 d and 10 d scales, respectively. However, this also resulted in a decrease in generalization ability, with corresponding scores of 0. 935 , 0. 919, and 0.918. Shorter time scales captured finer details of ground features, achieving higher classification accuracy but showing less adaptability to data variations. Moreover, the model’s generalization ability demonstrated a spatial pattern of the closer it was, the more relevant they were’ . The identification of winter wheat areas using the GEE platform and Sentinel imagery was highly accurate, with overall accuracy and Fl scores of the confusion matrix exceeding 90% , and classification results were highly consistent in spatial detail with high-resolution images. Furthermore, the estimated areas of winter wheat showed a strong correlation with official municipal statistics (coefficient of determination R2>0. 9). ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 39

Main heading: Radar imaging

Controlled terms: Fertilizers? - ?Image enhancement? - ?Photointerpretation? - ?Photomapping

Uncontrolled terms: Classification accuracy? - ?Feature preference? - ?Generalization ability? - ?Google earth engine? - ?Google earths? - ?Random forests? - ?Remote sensing imagery? - ?Remote sensing imagery identification? - ?Time-scales? - ?Winter wheat

Classification code: 1106.3.1 ? - ?1502.1.1.3 ? - ?405.3 Surveying? - ?716.2 Radar Systems and Equipment? - ?742.1 Photography? - ?821.3 Agricultural Methods

Numerical data indexing: Percentage 4.00E+00%, Percentage 6.00E+00%, Percentage 9.00E+01%

DOI: 10.6041/j.issn.1000-1298.2024.09.022

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

3. Improved Pure Pursuit Agricultural Machinery Navigation Curve Path Tracking Method Based on B-spline Optimization

Accession number: 20243917098507

Title of translation: 基于B 样条优化的改进纯追踪农机导航曲线跟踪方法

Authors: Zhang, Wenyu (1, 2); Hu, Liwen (1); Wang, Hui (3); Zhang, Guocheng (1); Luo, Xiwen (1, 2); Zhang, Zhigang (1, 2)

Author affiliation: (1) Key Laboratory of Key Technology on Agricultural Machine and Equipment, Ministry of Education, South China Agricultural University’, Guangzhou; 510642, China; (2) Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL—AAI), Guangzhou; 510642, China; (3) Weichai Lovol Intelligent Agricultural Technology Co., Ltd., Weifang; 261200, China

Corresponding author: Zhang, Zhigang(zzg208@scau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 42-51 and 115

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: ： Aiming at the influence of the smoothness of the sampling path of driving agricultural machinery on the tracking effect and the low tracking adaptability caused by the variable curvature of the curve path, a fuzzy pure tracking control method with integral compensation based on B-spline path optimization was proposed. Firstly, B-spline interpolation method was used to smooth and optimize the sampling path information. Based on the driving law, the interaction between the curvature of agricultural machinery and the operating speed on the tracking control was analyzed, and the pure tracking control method of fuzzy adjusting the forward-looking distance was designed. According to the previous test results, the pure tracking forward-looking distance was fuzzy adjusted by the tractor speed and the average curvature of the forward-looking path. At the same time, the tracking lateral deviation was used to design the front wheel angle integral compensation to reduce the steady-state error. The Simulink simulation model of curve tracking was designed and constructed, and the simulation experiment was carried out. The simulation results showed that the average absolute and maximum absolute lateral deviation of the improved method were reduced by 4. 8% and 7.1% compared with that of the traditional pure tracking control method. The sinusoidal curve tracking test of agricultural machinery in the field was carried out. The interpolation path comparison test results showed that the tracking error after path interpolation was reduced by 75. 9% compared with that before interpolation. The control algorithm comparison test results showed that when the agricultural machinery tracked the sinusoidal path with different amplitudes at speeds ofl.O m /s, 1. 5 m/s and 2. 5 m /s, the average absolute transverse deviation of the improved pure tracking method was reduced by 36. 80%, 62. 50% and 61.03%, and the average standard deviation was reduced by 27. 8%, 24. 0% and 46. 3%, respectively. Finally, the random sampling path in the field was tracked. When the speed was 2. 5 m /s, the horizontal deviation standard deviation was 0. 06 m. This method effectively improved the accuracy of agricultural machinery curve path tracking, and met the agricultural production needs of curve operation. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 32

Main heading: Interpolation

Controlled terms: Agricultural robots? - ?Error compensation? - ?Fertilizers? - ?Fuzzy control? - ?Splines? - ?Tractors (agricultural)

Uncontrolled terms: Agricultural machinery navigation curve? - ?B spline curve? - ?Control methods? - ?Forward looking? - ?Improve pure pursuit? - ?Integral compensation? - ?Path tracking? - ?Pure pursuits? - ?Tracking controls? - ?Tracking method

Classification code: 1201.9 ? - ?1502.1.1.3 ? - ?601.2 Machine Components? - ?602 Mechanical Drives and Transmissions? - ?663.1 Heavy Duty Motor Vehicles? - ?731 Automatic Control Principles and Applications? - ?731.1.1 ? - ?731.6 Robot Applications? - ?821.2 Agricultural Chemicals? - ?821.3 Agricultural Methods

Numerical data indexing: Percentage 0.00E00%, Percentage 3.00E+00%, Percentage 5.00E+01%, Percentage 6.103E+01%, Percentage 7.10E+00%, Percentage 8.00E+00%, Percentage 8.00E+01%, Percentage 9.00E+00%, Size 6.00E+00m, Velocity 5.00E+00m/s

DOI: 10.6041/j.issn.1000-1298.2024.09.003

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

4. Rice Fertilization Period Discrimination Method Based on Multi-modal Knowledge Graph

Accession number: 20243917098029

Title of translation: 基于多模态知识图谱的水稻施肥期判别方法

Authors: Yuan, Licun (1); Zhou, Jun (1); Ge, Weixi (1); Zheng, Pengyuan (1)

Author affiliation: (1) College of Engineering, Nanjing Agricultural University, Nanjing; 210031, China

Corresponding author: Zhou, Jun(zhoujun@njau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 163-173

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: ： Currently, the determination of the optimal fertilization time for rice relies heavily on a combination of traditional experience and manual field inspection, which struggles to meet the demands of modern agricultural intelligence. In response, a method for rice fertilization period discrimination was introduced based on a multi-modal knowledge graph, integrating textual experiential information and visual cues for determining the fertilization period. Initially, a single-modal knowledge graph for rice fertilization was constructed. On this basis, cross-modal feature phrases corresponding to the four fertilization periods (re-greening, tillering, heading, and grain-filling) were extracted by using dependency syntax analysis. These phrases were then combined with the Chinese CLIP model to determine their match with images and their respective weights for the fertilization periods, forming new triplets with cross-modal nodes. This led to the creation of a multi-modal rice fertilization knowledge graph. Subsequently, the multi-modal knowledge graph was used to calculate the comprehensive matching degree of input information, and field-collected images were utilized for cross-validation. This process comprehensively evaluated the accuracy and stability of the discrimination method, thereby determining the decision thresholds for each fertilization period. The discrimination methods accuracy was tested by using 600 images captured on the day of each fertilization period and five days before and after. Results showed that the overall accuracy rate of the multi-modal knowledge graph-based rice fertilization period discrimination method was 86. 2 %, with the highest accuracy rate of 90. 1 % during the grainfilling period. By utilizing both textual and visual modalities, this method enhanced information utilization and demonstrated discriminative capability in real-world scenarios, offering a reference for the automated determination of rice fertilization periods. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 40

Main heading: Knowledge graph

Controlled terms: Fertilizers? - ?Image matching? - ?Modal analysis? - ?Photomapping? - ?Syntactics

Uncontrolled terms: Accuracy rate? - ?CLIP model? - ?Cross-modal? - ?Fertilisation? - ?Fertilization period? - ?Field inspection? - ?Information cues? - ?Knowledge graphs? - ?Multi-modal? - ?Rice

Classification code: 1106.2 ? - ?1106.3.1 ? - ?1201.5 ? - ?1502.1.1.3 ? - ?405.3 Surveying? - ?742.1 Photography? - ?821.3 Agricultural Methods

Numerical data indexing: Percentage 1.00E00%, Percentage 2.00E+00%

DOI: 10.6041/j.issn.1000-1298.2024.09.013

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

5. Point Cloud Reconstruction of Succulent Plants Based on Neural Radiance Fields RGB Image and Dimensional Measurement

Accession number: 20243917117930

Title of translation: 基于神经辐射场的RGB图像点云重建多肉植物及尺寸测量研究

Authors: Yin, Ling (1, 2); Chen, Zhaoda (1); Lan, Shangui (1); Yang, Jie (2, 3); Zhang, Sumin (1, 4); Huang, Qiong (1)

Author affiliation: (1) College of Mathematics and Informatics, South China Agricultural University, Guangzhou; 510642, China; (2) National Engineering Research Center for Swine Breeding Industry, South China Agricultural University, Guangzhou; 510642, China; (3) College of Animal Science, South China Agricultural University, Guangzhou; 510642, China; (4) State Key Laboratory of Swine and Poultry Breeding Industry, South China Agricultural University, Guangzhou; 510640, China

Corresponding author: Huang, Qiong(qhuang@scan.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 316-326

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Focusing on potted succulent plants, handheld RGB cameras were utilized to collect video data of 11 potted succulent plants. By converting videos into image frames, high-quality clear frames were selected, and camera poses were calculated, and containing rich information RGB image data was obtained. An improved method for three-dimensional reconstruction of succulent plants based on NeRF was proposed. A new ray sampling strategy tailored to actual scenes was introduced, along with an enhanced image restoration module and an implicit model for point cloud reconstruction. Seven phenotypic parameters of succulent plants were extracted from the point cloud reconstruction results, including leaf count, plant height, crown circumference, convex hull volume, leaf length, leaf width, and leaf color. Finally, a precision assessment and error analysis were conducted on five representative and easily measurable phenotypic parameters; leaf count, plant height, crown circumference, leaf length, and leaf width. The mean absolute percentage error ( MAPE ) for these parameters was respectively 2. 32% , 3. 95% , 4. 95% , 5. 59% , and 9. 55% , and the root mean square error (RMSE) was respectively 0. 86 leaves and 1. 95 mm, 17. 54 mm, 1. 87 mm, 1. 27 mm, with respective R values of 0. 99, 0. 99, 0. 86, 0. 91 , and 0. 89. The results of precision assessment indicated that the extracted phenotypic parameters can accurately and efficiently reflect the growth status of succulent plants. By leveraging advantages in RGB image synthesis technology, image processing, and 3D point cloud reconstruction, non-destructive extraction of phenotypic parameters for potted succulent plants was achieved with high precision. The research result can provide important technical support for succulent plant cultivation and nurturing, as well as for studies involving non-fixed, multi-perspective RGB data acquisition. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 33

Main heading: Image reconstruction

Controlled terms: Energy efficiency? - ?Image denoising? - ?Image enhancement? - ?Network security? - ?Photointerpretation? - ?RGB color model? - ?Video recording

Uncontrolled terms: Leaf length? - ?NeRF? - ?Plant height? - ?Plant phenotypic? - ?Point-clouds? - ?Precision assessment? - ?RGB images? - ?Size measurements? - ?Succulend plant? - ?Three-dimensional reconstruction

Classification code: 1008.6 ? - ?1009.4 ? - ?1106 ? - ?1106.3.1 ? - ?716.1 Information Theory and Signal Processing? - ?716.4 Television Systems and Equipment? - ?741.1/Optics ? - ?742.1 Photography

Numerical data indexing: Percentage 3.20E+01%, Percentage 5.50E+01%, Percentage 5.90E+01%, Percentage 9.50E+01%, Size 2.70E-02m, Size 5.40E-02m, Size 8.70E-02m, Size 9.50E-02m

DOI: 10.6041/j.issn.1000-1298.2024.09.027

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

6. Effect of Water and Nitrogen Regulation on Potato Yield and Soil Quality Evaluation

Accession number: 20243917117960

Title of translation: 水氮调控对宁夏中部旱区马铃薯产量与土壤质量的影响

Authors: Yang, Yingpan (1); Yin, Juan (1, 2); Zhu, Yinhao (1); Li, Sheng (1)

Author affiliation: (1) College of Civil and Hydraulic Engineering, Ningxia University, Yinchuan; 750021, China; (2) Engineering Research Center of Ministry of Education for Efficient Utilization of Water Resources in Modern Agriculture in Arid Regions, Yinchuan; 750021, China

Corresponding author: Yin, Juan(yj7115@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 358-370 and 458

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To address the problems of low potato yield and low soil quality in the central arid zone of Ningxia, the interrelationship between potato yield and farmland environmental factors was investigated and evaluated. Aiming to explore and evaluate the soil quality condition of potato farmland in the central arid zone of Ningxia, and the interrelationship between potato yield and farmland environmental factors, with a view to improving potato yield and farmland soil quality, taking potato farmland as the research object, the two-year experiment was conducted in a three-factor completely randomised design, with irrigation treatments set at irrigation quota (2 250 m3/hm2, W3), 20% water saving (1 800 m3/hm2, W2), and 40% water saving (1 350 m3/hm2, W1);and nitrogen application treatments set at nitrogen application (195 kg/hm2, N3), and 20% nitrogen reduction (156 kg/hm2, N2), 40% nitrogen reduction (117 kg/hm2, N1), with no local N fertiliser and no irrigation as CK treatment, soil nutrients, enzyme activities, microbial carbon, nitrogen, phosphorus and yield were measured and included in the soil quality index (SQI), which was fitted to potato yield. The results showed that water and nitrogen regulation had significant effects on soil quick potassium, effective phosphorus, nitrate nitrogen, ammonium nitrogen, total nitrogen, total phosphorus, total potassium, and organic matter, and catalase activity (SP), sucrase activity (SS), soil urease activity (SU), and soil alkaline phosphatase activity (SAP) in the 0~20 cm soil layer were the largest under different water and nitrogen regulation in the W2N2 treatment, which was increased compared with that of the CK treatment by 23.66%, 86.28%, 58.66%, 56.92%. And it showed a trend of gradual decrease with the increase of soil depth. Potato yield, soil microbiota carbon nitrogen phosphorus and stoichiometry were maximum in W2N2 (1 800 m3/hm2, 156 kg/hm2) treatment. The highest soil quality grade of W2N2 treatment was obtained by SQI, and it was found that W2N2 treatment could synergistically improve the comprehensive soil quality and potato yield by fitting, and the results of this study can provide theoretical references for the sustainable production of potato and the improvement of soil quality in arid regions of northern China. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 42

Main heading: Alkalinity

Controlled terms: Computer control? - ?Damage detection? - ?Elastin? - ?Electronegativity? - ?Failure analysis? - ?Model predictive control? - ?Negative bias temperature instability? - ?Nitrogen fertilizers? - ?Nitrogen removal? - ?Oil resistance ? - ?Reliability theory? - ?Statistical process control

Uncontrolled terms: Arid zones? - ?Environmental factors? - ?Irrigation quotas? - ?Nitrogen application? - ?Nitrogen regulation? - ?Potato yield? - ?Soil chemical property? - ?Soil quality index? - ?Soils qualities? - ?Water regulation

Classification code: 1106.5 ? - ?1201.7 ? - ?1202.2 ? - ?1502.1.1.4 ? - ?214.1 ? - ?731.1 Control Systems? - ?731.5 Robotics? - ?801 Chemistry? - ?801.3.1 ? - ?802.2 Chemical Reactions? - ?802.3 Chemical Operations? - ?804 Chemical Products Generally? - ?804.1 Organic Compounds? - ?821.3 Agricultural Methods? - ?913.3 Quality Assurance and Control? - ?913.3.1 Inspection

Numerical data indexing: Mass 1.17E+02kg, Mass 1.56E+02kg, Mass 1.95E+02kg, Percentage 2.00E+01%, Percentage 2.366E+01%, Percentage 4.00E+01%, Percentage 5.692E+01%, Percentage 5.866E+01%, Percentage 8.628E+01%, Size 0.00E00m to 2.00E-01m, Volume 2.50E+02m3, Volume 3.50E+02m3, Volume 8.00E+02m3

DOI: 10.6041/j.issn.1000-1298.2024.09.031

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

7. Design and Testing of Experimental Hydrothermal Reactor Based on Radio Frequency Intensification

Accession number: 20243917117946

Title of translation: 基于射频波强化的试验型水热反应器研究

Authors: Wu, Mingtai (1); Zhang, Hao (1); Zhang, Yiming (1); Duan, Yuting (1); Wang, Bowen (1); Wang, Shaojin (1, 2); Ling, Bo (1)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest a and F University, Shaanxi, Yangling; 712100, China; (2) Department of Biological Systems Engineering, Washington State University, Pullman; WA; 99164-6120, United States

Corresponding author: Ling, Bo(6lb6lb@nwafu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 450-458

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Since the current researches about hydrothermal extraction was mainly relying on microwave intensification, which has the problems of small penetration depth and poor heating uniformity, a method of radio frequency ( RF) with better heating uniformity was used to heat and a set of hydrothermal reactor suitable for RF intensification was designed based on the horizontal parallel electrodes RF heating system. This hydrothermal reactor was mainly composed of four parts; double-layer autoclave, pressure regulator, fiber-optical thermometer and air-driven magnetic stirrer. Firstly, the overall structure and working principle were explained. Then the key components of the double-layer autoclave and air-driven magnetic stirrer were designed in detail based on the stress analysis theory of the internal pressure thin-wall cylinder and the magnetic coupling transmission theory, and the pressure regulator and fiber-optical thermometer were designed and selected, respectively. Finally, the experimental platform of RF intensify hydrothermal reaction was built and the stirring speed, liquid/solid ratio ( LSR ) and RF electrode gap were selected to test the stirring and heating performance of the hydrothermal reactor. The results showed that there was no significant difference for the stirring speed between the experimental groups and control group (pure water) , when the LSR was greater than 20 mL/g (p > 0. 05) , and the LSR was no longer the main factor affecting the stirring speed. When the LSR was less than 40 mL/g, and the stirring speed was greater than 150 r/min, the electrodes gaps was the main factor affecting the heating rate of sample, and the heating rate was increased continuously with the reduction of the electrodes gaps. When the electrodes gap was 130 mm, the heating rate can reach 8 ~ 10°C/min. The development of this reactor can provide important technical support for the experimental research of hydrothermal extraction based on RF intensification. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 29

Main heading: Pressure regulators

Controlled terms: Autoclaves? - ?Fiber optic sensors? - ?Magnetic couplings? - ?Reactor refueling

Uncontrolled terms: Electrode gap? - ?Heating uniformity? - ?Hydrothermal extraction? - ?Hydrothermal reactor? - ?Liquid solids? - ?Magnetic stirring? - ?Process intensification? - ?Radio frequency heating? - ?Radiofrequencies? - ?Stirring speed

Classification code: 1001.2 ? - ?101.2 ? - ?601.1 Mechanical Devices? - ?601.2 Machine Components? - ?732.1 Control Equipment? - ?741.1.2 Fiber Optics? - ?802.1 Chemical Plants and Equipment

Numerical data indexing: Angular velocity 2.505E+00rad/s, Size 1.30E-01m, Specific volume 2.00E-02m3/kg, Specific volume 4.00E-02m3/kg, Temperature 2.81E+02K to 2.83E+02K

DOI: 10.6041/j.issn.1000-1298.2024.09.040

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

8. Design and Experiment of Corn Layer Fertilization Device with Fertilizer Flow Reconstruction Based on Discrete Element Method

Accession number: 20243917095288

Title of translation: 基于离散元的肥料流重构玉米分层施肥装置设计与试验

Authors: Wang, Shoujiang (1, 2); Yan, Bingxin (2); Li, Liwei (2); Dong, Jianjun (2); Wu, Guangwei (1, 2)

Author affiliation: (1) Mechanical and Electronic Engineering Institute, Xinjiang Agricultural University, Urumqi; 830052, China; (2) Intelligent Equipment Research Center, Beijing Academy ofAgriculture and Forestry Sciences, Beijing; 100097, China

Corresponding author: Wu, Guangwei(wugw@nercita.org.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 138-150 and 184

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: ： To enhance the accuracy of proportional fertilizer distribution for corn layered fertilization and the stability of soil coverage between layers, a layered fertilizer flow reconstruction apparatus was developed. The optimal diameter of the circular bulk fertilizer disc was determined to be 20 m m by using the discrete element method. Subsequently, a comparative test was carried out between fertilizer flow reconstruction and non-reconstruction. The results demonstrated that after fertilizer flow reconstruction, the operational efficiency was improved, and the stability of both 7: 3 and 8: 2 ratio fertilizers was enhanced. By conducting kinematic analysis of ditching for layered fertilization, it was established that the trencher’s angle, the lateral distance of the shallow fertilizer opening, and the machine’s operating speed were key factors influencing the efficacy of layered fertilization. A regression model was formulated to correlate the variation coefficient of each factor with the depth of deep and shallow fertilizers. The impact of the interaction of each factor on the test index was then analyzed by using the response surface method. By using the multi-objective optimization design method, the optimum operation parameter insertion angle of the layered fertilizer applicator was 390, the transverse spacing was 174 m m, and the operation speed was 4. 3 km/h. Based on the optimized parameters, the layered fertilization device was manufactured, and field tests were conducted. The results revealed that the variation coefficient of deep fertilizer depth was 4. 7 8 %, while that of shallow fertilizer was 6.41%. The stratified fertilization operation exhibited stability and reliability. The research result can offer a theoretical and methodological foundation for the design of layered fertilization devices. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 32

Main heading: Regression analysis

Controlled terms: Design for testability? - ?Fertilizers? - ?Layered manufacturing? - ?Trenching

Uncontrolled terms: Comparative tests? - ?Corn fertilizer flow reconstruction layer fertilizer device? - ?Discrete elements method? - ?Fertilisation? - ?Flow reconstruction? - ?Kinematic Analysis? - ?Machine operating? - ?Operational efficiencies? - ?Optimal diameters? - ?Variation coefficient

Classification code: 1202.2 ? - ?1502.1.1.3 ? - ?610.1 ? - ?714.2 Semiconductor Devices and Integrated Circuits? - ?821.3 Agricultural Methods? - ?904 ? - ?913.4 Manufacturing

Numerical data indexing: Percentage 6.41E+00%, Percentage 8.00E+00%, Size 1.74E+02m, Size 2.00E+01m, Size 3.00E+03m

DOI: 10.6041/j.issn.1000-1298.2024.09.011

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

9. Application Status and Development Prospects of Digital Twin Technology in Agricultural Production Process Control

Accession number: 20243917095282

Title of translation: 数字挛生技术在农业生产管控中的应用现状与展望

Authors: Wang, Jizhang (1); Wang, Tao (1); Fu, Yihui (1); Yuan, Junjie (1); Hu, Yongguang (1)

Author affiliation: (1) School ofAgricultural Engineering, Jiangsu University, Zhenjiang; 212013, China

Corresponding author: Wang, Jizhang(whxh@ujs.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 1-20

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: ： Digital twin technology, a sophisticated multi-scale and multi-physical methodology, facilitates the real-time synchronization and high-fidelity data exchange and integration between the physical and informational realms. Owing to its immense potential in real-time monitoring, predictive analytics, and decision optimization, this transformative technology has begun to see preliminary applications in the management of agricultural production processes, offering unprecedented opportunities for enhancing efficiency and productivity. To elucidate the current application landscape and future trajectory of digital twin technology in agricultural management, various application instances across diverse production settings, including arable fields, orchards, greenhouses, livestock farming, and agricultural machinery were enumerated and scrutinized. Following this, five-dimensional model of digital twins in agricultural processes was delved, offering an in-depth analysis of pivotal technologies such as data acquisition, virtual scenario construction, cyber-physical interaction, and data analytics. Ultimately, informed by the evaluation of current applications and critical technologies, the developmental trends of digital twin technology in the intelligent management of agricultural production were posited. Through the comprehensive discourse and analysis, it aimed to furnish valuable insights for the advancement and deployment of digital twin technology in the intelligent control of agricultural production processes, paving the way for a more sustainable and efficient agricultural future. Based on the analysis of current applications agricultural production and key technologies is ： It is essential , the development to move beyond trend of the digital application twins applied framework to intelligent of a single control scenario in and stage, and realize digital twin and intelligent control services for the entire agricultural production process. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 149

Controlled terms: Fertilizers? - ?Network security? - ?Production control

Uncontrolled terms: ‘current? - ?Agricultural productions? - ?Application development? - ?Application status? - ?Development prospects? - ?Intelligent management? - ?Intelligent management and control? - ?Management and controls? - ?Production process? - ?： digital twin

Classification code: 1106 ? - ?1502.1.1.3 ? - ?821.3 Agricultural Methods? - ?913.2 Production Control

DOI: 10.6041/j.issn.1000-1298.2024.09.001

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

10. Design and Experiment of Rice Side-deep Variable Rate Fertilization Control System Based on Prescription Diagrams

Accession number: 20243917095285

Title of translation: 基于处方图的水稻侧深变量施肥控制系统设计与试验

Authors: Wang, Jinfeng (1); Lu, Zhenyang (1); Zhao, Minyi (1); Wang, Zhentao (1)

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

Corresponding author: Wang, Jinfeng(jinfeng_w@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 151-162

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: ： To address the issues of fertilizer resource wastage and the inability to achieve spatially differentiated nutrient supply in rice side-deep fertilization due to the lack of scientific prescriptions and intelligent decision-making, a prescription map-based variable-rate fertilization control system for rice side-deep fertilization was designed. Combining fertilizer application theory analysis, controllable factors influencing the fertilizer application rate in variable rate fertilization operations, including fertilizer shaft rotation speed, external groove wheel working length, and machine forward speed were identified to explore fertilization control strategies and construct and train an intelligent decision-making model based on neural networks. Using the soil nutrient balance method combined with the Kriging spatial interpolation method in ArcGIS, a fertilization prescription map was generated. Subsequently, the hardware and software for the rice side-deep variable rate fertilization control system were designed and integrated into a rice transplanter for performance testing. The precision test of the bivariate control model for fertilizer amount showed a maximum application error of3. 27%, a minimum error of 0. 06%, and an overall average error of 1.23% . Results from the target fertilization amount accuracy test indicated that the average application rate errors for urea, diammonium phosphate, potassium sulfate, and blended compound fertilizer were 4. 60%, 4. 41 %, 4. 18%, and 3. 66%, respectively, with average dosage errors of 5. 04%, 4.83%, 3.81%, and 4. 84% . In field tests guided by electronic prescription maps, the system obtained 54 867 valid positioning points with six positioning errors, all occurring near field boundaries, the average broadcasting amount error for partitioned and fixed-point variable fertilization was 4.23% . The results demonstrated that the integrated rice transplanter with side-deep variable rate fertilization capabilities had high application rate accuracy and stability, and the control system exhibited high precision in fertilizer amount control. Using electronic prescription maps to guide fertilization operations was practical and reliable, enabling integrated intelligent variable-rate fertilization during rice transplanting. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 29

Main heading: Urea fertilizers

Controlled terms: Agricultural robots? - ?Conformal mapping? - ?Elastin? - ?Failure modes? - ?Forward error correction? - ?Linear transformations? - ?Phosphate fertilizers? - ?Photomapping? - ?Potassium fertilizers? - ?Volatile fatty acids ? - ?Z transforms

Uncontrolled terms: Application rates? - ?Bivariate? - ?Bivariate control? - ?Fertilisation? - ?Intelligent decision-making? - ?Prescription diagram? - ?Prescription map? - ?Rice? - ?Side-deep variable rate fertilization? - ?Variable rate fertilization

Classification code: 1103.3 ? - ?1201.14 ? - ?1201.2 ? - ?1201.3 ? - ?1201.6 ? - ?214.1 ? - ?405.3 Surveying? - ?731.6 Robot Applications? - ?742.1 Photography? - ?804.1 Organic Compounds? - ?804.2 Inorganic Compounds? - ?821.2 Agricultural Chemicals? - ?821.3 Agricultural Methods

Numerical data indexing: Percentage 1.23E+00%, Percentage 1.80E+01%, Percentage 2.70E+01%, Percentage 3.81E+00%, Percentage 4.00E+00%, Percentage 4.10E+01%, Percentage 4.23E+00%, Percentage 4.83E+00%, Percentage 6.00E+00%, Percentage 6.00E+01%, Percentage 6.60E+01%, Percentage 8.40E+01%

DOI: 10.6041/j.issn.1000-1298.2024.09.012

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

11. Design and Test of Spiral Rejection Mechanism for Inferior Bowl Seedlings

Accession number: 20243917098273

Title of translation: 温室穴盘育苗劣质钵苗螺旋式剔除机构设计与试验

Authors: Tong, Junhua (1, 2); Shang, Kaiyuan (1); Wang, Xiaoqin (1); Sun, Liang (1, 2); Zhang, Ning (1); Norupiri, R.O. (1); Shangquan, M.A. (1)

Author affiliation: (1) School ofMechanical Engineering, Zhejiang Sci-Tech University, Hangzhou; 310018, China; (2) Key Laboratory of Agricultural Equipmentfor Hilly and Mountainous Areas in Southeastern China, Ministry ofAgriculture and Rural Affairs, Hangzhou; 310018, China

Corresponding author: Sun, Liang(liangsun@zstu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 129-137

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In the process of seedling raising in the greenhouse hole tray, about 5% to 20% of the holes had the phenomenon of missed seeding, stunted development, etc. In order to improve the utilization rate of the hole tray and ensure the quality of the finished seedlings, it was necessary to remove the inferior rejection seedling substrate ends ： finger block shovel neatly type and and replenish air suction the healthy type. bowl There seedlings were problems in time. such There as were the finger two common shovel type seedling removal method and the air suction seedling removal method. The finger shovel type seedling was easy to cause the bowl body to be loose, fragile and difficult to grasp and the air suction seedling removal method had a low rejection rate under high moisture content. The conveyor belt was used to move the hole plate, and the lifting module drove the traversing module to lift, and two seedling removal end effector were installed on the traversing module, and the culling end-effector used spiral blades to break up the substrate. The matrix in the hole was broken and transported to the top soil storage tank by means of spiral conveying and negative pressure adsorption, and automatically transferred it to the soil discharge tank when it was lifted. Taking the 200-hole strip matrix cavity disc as the research object, the soil lifting mode of the spiral blade was theoretically analyzed and the relevant design parameters were determined, and the path planning of the spiral inferior seedling rejection device was carried out. The test platform of the spiral inferior seedling rejection device was built and the four-factor and three-levelorthogonal experimental research on the removal of spiral substrate was carried out. The influence of experimental factors, from large to small, included notch cutting angle, pitch, rotation speed and lifting speed. The optimal parameters were determined to be 16 mm pitch, 10° notch cutting angle, 2 500 r/min rotation speed and 10 mm/s lifting speed. The performance verification test was carried out under the optimal combination of parameters, and the results showed that the average operating efficiency of the whole machine was 832 holes/h (42 trays/h) . The average rejection rate of the substrate was over 83%, which met the needs of the seedling rejection operation. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 24

Main heading: Shovels

Controlled terms: Belt conveyors? - ?Elastin? - ?Light velocity? - ?Plastic bottles? - ?Soil testing? - ?Tanks (containers)

Uncontrolled terms: Air suction? - ?Cutting angles? - ?Defective seedling removal device? - ?Inferior seedling? - ?matrix? - ?Rejection rates? - ?Removal method? - ?Spiral blades? - ?Spiral type? - ?Spiral type actuator

Classification code: 1502.1.1.4.3 ? - ?207.1 ? - ?483.1 Soils and Soil Mechanics? - ?605.2 Small Tools, Unpowered? - ?610.2 ? - ?692.1 Conveyors? - ?694.1 Packaging, General? - ?741.1/Optics ? - ?804.1 Organic Compounds

Numerical data indexing: Angular velocity 8.35E+00rad/s, Percentage 5.00E+00% to 2.00E+01%, Percentage 8.30E+01%, Size 1.60E-02m, Velocity 1.00E-02m/s

DOI: 10.6041/j.issn.1000-1298.2024.09.010

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

12. Numerical Simulation of Hydraulic Characteristics of Frame-type Current Meter Based on Dynamic Grid 6DOF Model and Prediction of Flow Measurement Rate Constant in Open Channel

Accession number: 20243917117951

Title of translation: 基于动网格6DOF模型的框架式流速仪水力特性

Authors: Tang, Yuan (1); Shen, Lixia (1); Wu, Jianhua (1); Zhang, Yusheng (1); Cheng, Yixiong (2); Xu, Yunbin (1)

Author affiliation: (1) College of Water Resource Science and Engineering, Taiyuan University of Technology, Taiyuan; 030024, China; (2) College of Civil Engineering, Taiyuan University of Technology, Taiyuan; 030024, China

Corresponding author: Wu, Jianhua(1004566313@qq.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 371-381

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: A six degrees of freedom rigid body dynamics coupled numerical simulation model under dynamic grid was established, and the passive rotation process of the propeller caused by water impacting the frame-type current meter was simulated. It was based on the Navier - Stokes equation for incompressible fluid flow and the SST k - u> turbulence model, combined with the VOF multiphase flow model. This was done to analyze the flow field characteristics and motion posture of the frame-type current meter in the open channel, while calibrating the multiplier constant K and friction coefficient C. In this way, this can analyze the influence of different positions of the current meter on the multiplier constant K and friction coefficient C. The results showed that the use of the dynamic grid 6D0F model can effectively simulate the flow state of the frame-type current meter in open channels, and the simulation results were highly reliable. By analyzing the fitting curves of rotational speed and flow velocity at different times, it can be concluded that the different positions of the current meter would affect the magnitude of the friction coefficient C of the current meter, and it had little effect on the multiplication constant K of the current meter. This achievement can provide theoretical basis and technical support for the construction of digital twin irrigation areas and the measurement of open channel water in irrigation areas. The research results can provide necessary references for further research on the optimization of frame-type current meter and the wear of current meters under different sediment flow conditions. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 17

Main heading: Navier Stokes equations

Controlled terms: Digital elevation model? - ?Flowmeters? - ?Incompressible flow? - ?Open channel flow

Uncontrolled terms: Current meters? - ?Dynamic grid? - ?Dynamic grid 6d0f simulation model? - ?Frame types? - ?Frame-type current meter method? - ?Hydraulic characteristic? - ?Open channel flow measurement? - ?Open channels? - ?Rate constant prediction? - ?Simulation model

Classification code: 1106.2 ? - ?1106.3.1 ? - ?1201.2 ? - ?301.1 ? - ?301.1.1 ? - ?942.1.6

DOI: 10.6041/j.issn.1000-1298.2024.09.032

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

13. Design and Experiment of Asymmetrical Planting Implement for Garlic Upright Planter

Accession number: 20243917117927

Title of translation: 大蒜直立种植机非对称式栽植器设计与试验

Authors: Song, Jingling (1); Zhang, Yongzheng (1); Wang, Zhuo (1); Li, Kunqiao (1); Cui, Zhichao (2); Fang, Fuhai (1); Yang, Qinghua (1)

Author affiliation: (1) School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo; 255091, China; (2) Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing; 210014, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 116-128 and 261

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 low upright degree and low working efficiency of garlic planter, the planting implement with asymmetrical structure suitable for continuous garlic planter was designed, in order to adapt to the continuous change of the horizontal speed of planting implement during the planting process and keeping the garlic seed upright state. The action process of planting implement and soil on garlic seed was analyzed, and the equation for the contour curve at the bottom of the seed hole and the simulation system of garlic upright planting device were established. According to the role of the planting implement in different working stages, a two-stage planting implement structure with different upper and lower cone angles was proposed, and the upper cone angle was determined to be 20°. Through the single-factor simulation experiment of the influence of some factors on the symmetries of the shape of the seed-hole, the shape of bottom of the seed-hole and the upright degree of planting garlic, it was determined that the opening mode of the planting implement was one side forward opening, the opening moment was when the planting implement moved to the lowest point, and the center of rotation of the opening side was 110 mm above the apex of the bottom of planting implement and 15 mm behind the apex of bottom of the planting implement. The structure of the planting implement was optimized to be an asymmetric structure and the corresponding parameters were determined by the simulation analysis of the action process of the planting implement on the garlic seed. Four-factor and three-level orthogonal simulation experiments were carried out to study the effects of three working parameters and lower cone angle of planting implement on the upright degree of garlic seed and the optimal combination parameter was determined as the velocity ratio of 1. 12, the horizontal distance of opening of 29. 69 mm, the opening time of 0. 51 s, the lower cone angle of the planting implement of 40. 90° , and the upright degree of planted garlic of 72. 84°. A test bed of garlic upright planting device was built to validate the simulation results which were verified by experiments. The test result showed that the upright degree of planted garlic was 68. 66° , which indicated that the established simulation system was correct and the simulation test result was practical and reliable. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 29

Main heading: Seed

Controlled terms: Cones? - ?Soil testing

Uncontrolled terms: Asymmetric form? - ?Asymmetrical structures? - ?Cone angle? - ?EDEM - ADAMS? - ?Planting implement? - ?Plantings? - ?Simulation systems? - ?Upright degree? - ?Upright planter? - ?Working efficiency

Classification code: 1201.14 ? - ?1502.1.1.4.3 ? - ?483.1 Soils and Soil Mechanics? - ?821.5 Agricultural Wastes

Numerical data indexing: Size 1.10E-01m, Size 1.50E-02m, Size 6.90E-02m, Time 5.10E+01s

DOI: 10.6041/j.issn.1000-1298.2024.09.009

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

14. Spatialtemporal Evolution of Ecological Spatial Network Structure in Western Handan Region and Its Correlation with Carbon Sequestration Function

Accession number: 20243917117937

Title of translation: 邯郸西部生态空间网络结构时空演变及其与固碳功能相关性研究

Authors: Song, Hongli (1); Wang, Yueyue (1); Zhang, Qibin (1); Li, Qian (2); Tian, Zheng (1); Yu, Qiang (3)

Author affiliation: (1) School of Earth Science and Engineering, Hebei University of Engineering, Handan; 056038, China; (2) School of Landscape and Ecological Engineering, Hebei University of Engineering, Handan; 056038, China; (3) Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing; 100083, China

Corresponding author: Zhang, Qibin(zhangqibin@hebeu.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 226-237 and 248

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The construction of ecological spatial networks is a common method used to optimize the regional landscape structure and enhance ecosystem service functions. However, the relationship between the structure of ecological spatial networks and specific ecosystem service functions is still rarely explored. Based on multi-source remote sensing data products and with the western region of Handan as the study area, the spatiotemporal evolution characteristics of carbon sequestration function and ecological spatial networks were analyzed, and the correlation between the topological structure characteristics of ecological spatial networks and carbon sequestration function was studied. The results showed that from 2000 to 2020, the average NPP value in the study area was 2. 17 X 10 kg/(m -a) , which showed a significant upward trend. The overall connectivity of the ecological spatial network in the study area was high, with a clear community structure and an extreme level of unevenness. The connectivity of the network was basically stable during the research period, but the heterogeneity was slighted increased. There was a significant positive correlation between the network’ s topological indicators and their carbon sequestration function in the study area. Among them, the correlation of node betweenness was the most significant, followed by PageRank and degree. These three indicators may be potential effective indicators for judging the carbon sequestration function of nodes in ecological spatial networks. The research results had important reference value for the construction and optimization of ecological spatial networks and the improvement of regional carbon sequestration function. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 39

Main heading: Carbon sequestration

Controlled terms: Abiotic? - ?Anthropogenic? - ?Carbon capture and utilization? - ?Carbon cycle? - ?Jurassic? - ?Zero-carbon

Uncontrolled terms: Carbon sequestration? - ?Carbon sequestration function? - ?Correlation? - ?Ecological spatial network? - ?Ecosystem service functions? - ?Network structures? - ?Spatial network? - ?Spatial-temporal evolution? - ?Study areas? - ?Western handan region

Classification code: 1501.4 ? - ?1502.1 ? - ?1502.1.2 ? - ?1502.2 ? - ?481.1 Geology

Numerical data indexing: Mass 1.00E+01kg

DOI: 10.6041/j.issn.1000-1298.2024.09.019

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

15. Design and Experiment of Vertical Groove Seed Feeding Device in Air-assisted Centralized Metering Device for Rapeseed and Wheat

Accession number: 20243917117929

Title of translation: 油麦兼用气送式集排器立槽式供种装置设计与试验

Authors: Shi, Binbin (1); Wang, Chuanqi (1); Chen, Xueer (1); He, Kaiwei (1); Liao, Qingxi (1, 2); Liao, Yitao (1, 2)

Author affiliation: (1) College of Engineering, Huazhong Agricultural University, Wuhan; 430070, China; (2) Key Laboratory of Agricultural Equipment in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan; 430070, China

Corresponding author: Liao, Yitao(liaoetao@mail.hzau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 102-115

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of complex seeding structures and insufficient seeding rates under high-volume conditions in existing pneumatic seeding devices for both rapeseed and wheat, a vertical trough high-throughput seeding device was designed. The working principle of the seeding device was expounded, the main structural parameters of the variable volume seeding mechanism were determined, the effects of working parameters such as seeding speed and the extension length of vertical trough wheel blades on the seeding performance for rapeseed and wheat were analyzed, and the optimal working parameter ranges for the seeding performance of rapeseed and wheat were clarified. The EDEM simulation test results showed that vertical trough seed supply device had good arch-breaking and seed-filling performance, as well as consistency of seed movement trajectory during seed supply. When the seeding speed for wheat was not less than 20 r/min and the blade extension length was not less than 9 mm, it can effectively avoid pulsation seeding issues and achieve stable seeding for both rapeseed and wheat. Bench test results indicated that when seeding rapeseed at a seeding speed of 10 ~ 30 r/min, the seeding device’s seeding rate can reach 66.20 ~ 210.41 g/min, with coefficient of variation for seeding rate stability of less than 2. 3% and seed breakage rate of less than 0. 65% . When seeding wheat at seeding speed of 20 ~ 50 r/min and blade extension length of 9 ~ 21 mm, the seeding device’s seeding rate can reach 1 184. 20 ~ 6 080. 44 g/min, with coefficient of variation for seeding rate stability of less than 1. 9% and seed breakage rate of less than 0. 4% . Field test results showed that when the seeding rates for rapeseed and wheat was 6. 5 kg/hm and 180 kg/hm , respectively, the total seeding errors for the seeder equipped with the vertical trough seeding device was 1. 68% and 4. 16% , respectively. Post-emergence measurements indicated that the average plant spacing for rapeseed and wheat was 56. 96 mm and 23. 34 mm, respectively, and the coefficient of variation of the consistency of each row was 16. 92% and 18. 02% , respectively, meeting the standard requirements of seeding operations. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Oilseeds

Controlled terms: Agricultural machinery? - ?Cloud seeding? - ?Pneumatic equipment

Uncontrolled terms: Air-assisted centralized metering device? - ?Centralised? - ?Feeding devices? - ?Metering devices? - ?Rapeseed? - ?Variable volume? - ?Variable volume of seed space? - ?Vertical groove seed feeding device? - ?Vertical grooves? - ?Wheat

Classification code: 1401.3 ? - ?443.3 Precipitation? - ?821.2 Agricultural Chemicals? - ?821.5 Agricultural Wastes

Numerical data indexing: Angular velocity 1.67E-01rad/s to 5.01E-01rad/s, Angular velocity 3.34E-01rad/s, Angular velocity 3.34E-01rad/s to 8.35E-01rad/s, Mass 1.80E+02kg, Mass 5.00E+00kg, Mass flow rate 1.10554E-03kg/s to 3.513847E-03kg/s, Mass flow rate 7.348E-04kg/s, Percentage 1.60E+01%, Percentage 2.00E+00%, Percentage 3.00E+00%, Percentage 4.00E+00%, Percentage 6.50E+01%, Percentage 6.80E+01%, Percentage 9.00E+00%, Percentage 9.20E+01%, Size 3.40E-02m, Size 9.00E-03m to 2.10E-02m, Size 9.00E-03m, Size 9.60E-02m

DOI: 10.6041/j.issn.1000-1298.2024.09.008

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

16. Freshness Evaluation and Reliable Traceability Model of Pelagic Fishing Products Based on Blockchain

Accession number: 20243917117956

Title of translation: 基于区块链的远洋捕捞产品新鲜度评价与可信追溯模型研究

Authors: Ma, Wenqi (1, 2); Sun, Chuanheng (2, 3); Luo, Na (2, 3); Xu, Darning (2, 3); Xing, Bin (2, 3)

Author affiliation: (1) College of Information Technonlogy, Shanghai Ocean University, Shanghai; 201306, China; (2) National Engineering Research Center for Information Technology in Agriculture, Beijing; 100097, China; (3) National Engineering Research Center of Agricultural Product Quality and Safety Traceability Technology and Application, Beijing; 100097, China

Corresponding author: Sun, Chuanheng(sunch@nercita.org.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 428-441

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In light of lack of quantitative analysis in the traceability process of pelagic fishing and the limited credibility of the analysis results, the traceability process of pelagic fishing was examined in detail by using salmon as an example. A freshness index evaluation system for pelagic fishing products was established based on the analytic hierarchy process. By applying this method to the evaluation of freshness, a standardized and replicable process for assessing the quality of pelagic fishing products was created, a freshness scoring formula was proposed and standardized product freshness evaluation was achieved. By incorporating ECDSA signature technology and smart contracts, accurate identification of traceability responsibility was achieved. Furthermore, by introducing credit score data, a two-way enterprise reputation evaluation model with reward, punishment, and compensation mechanisms was established to ensure both enthusiasm from credit evaluation subjects and authenticity of freshness score data. This approach enabled trusted traceability of product freshness. The security of this credit evaluation model was of paramount importance, which was addressed by ensuring that the system was as secure as the underlying ECDSA private keys, thus confirming the credibility, security, and immutability characteristics of the credit evaluation model. Performance test results indicated that read and write throughput for traceability data remained above 500TPS and 150TPS, respectively; reading success rate reached 100% while writing success rate standee! at 98% . The average time for data writing was 0. 416 s while data querying tooks an average time of 0. 142 s. Compared with blockchain-based agricultural products trusted traceability models relying on reliable enterprise reputation evaluation mechanisms, storage efficiency was increased by 55. 8% , query efficiency was improved by 63. 4% , effectively meeting actual product traceability business needs. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 29

Main heading: Fisheries

Controlled terms: Authentication? - ?Blockchain? - ?Digital storage? - ?Fishing (oil wells)? - ?Network security

Uncontrolled terms: Analytic hierarchy? - ?Block-chain? - ?Credit evaluation model? - ?ECDSA? - ?Hierarchy process? - ?Index evaluations? - ?Pelagic fishing product? - ?Salmon? - ?Standardized products? - ?Traceability model

Classification code: 1103.1 ? - ?1105.3 ? - ?1106 ? - ?1108.1 ? - ?471.5 Sea as Source of Minerals and Food? - ?512.1.2 Petroleum Deposits : Development Operations? - ?822 Food Technology

Numerical data indexing: Percentage 1.00E+02%, Percentage 4.00E+00%, Percentage 8.00E+00%, Percentage 9.80E+01%, Time 1.42E+02s, Time 4.16E+02s

DOI: 10.6041/j.issn.1000-1298.2024.09.038

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

17. Rotary Tillage Depth Detection Based on Multi-sensor Data Fusion

Accession number: 20243917098220

Title of translation: 基于多传感器数据融合的旋耕耕深检测系统研究

Authors: Ma, Ruofei (1, 2); Wei, Liguo (1, 2); Zhao, Bo (1, 2); Zhou, Liming (1, 2); Liu, Yangchun (1, 2); Xing, Gaoyong (1, 2)

Author affiliation: (1) Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing; 100083, China; (2) National Key Laboratory of Agricultural Equipment Technology, Beijing; 100083, China

Corresponding author: Wei, Liguo(weilg78@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 52-64

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: ： Tillage depth is usually used to measure the quality of rotary tillage. Suitable tillage depth can break soil compaction, improve soil structure and promote crop root growth. At present, the research scene of ploughing depth detection is mainly dry field, and the detection method is mainly indirect detection by inclination sensor. However, the soil of paddy field is soft, and the problems of sinking and attitude change will occur in the operation process. Therefore, a tillage depth detection system suitable for different soil environments was designed. In order to detect terrain relief and tool sag, a ground copying mechanism was designed, and its design parameters were explored through coupling simulation to verify its feasibility. In order to improve the indirect detection stability of single sensor, the detection method of three-point suspension inclination detection and relative elevation data fusion of Beidou system (B D S) were used, and a tillage detection model (T D M) was established. Adaptive iterative extended Kalman filter (A I E K F) was proposed to filter and then fuse data acquired by sensors to obtain more stable and accurate depth. On the basis of referring to the traditional tillage depth measurement method, the R T K - BDS elevation difference measurement method was proposed to obtain the true tillage depth value, and compared with the traditional method. The coupling simulation results showed that the absolute error was less than 0. 5 cm and the maximum shape variable of soil trough elevation was 2. 89 mm. Field experiment results showed that T D M detection model can effectively reflect the change of ploughing depth. The signal-to-noise ratio of AIEKF processing data was increased by 1. 41 dB on average compared with that of K F processing data, and the ploughing depth data obtained by fusion was increased by 2. 3 0 % and 2. 07 % on average compared with the ploughing depth M A P E detected by two single sensors, respectively. After fusion, the average M A P E was 3. 9 5 % and the average R M S E was 1. 08 cm. The m a x i m u m absolute error of R T K — B D S difference truth detection method and traditional detection method was 2. 45 c m, which can complete the truth detection of ploughing depth well. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 27

Main heading: Extended Kalman filters

Controlled terms: Adaptive filtering? - ?Adaptive filters? - ?Compaction? - ?Digital elevation model? - ?Sensor data fusion

Uncontrolled terms: Beidou systems? - ?Coupling simulation? - ?Detection methods? - ?Detection models? - ?Indirect detection? - ?Motion simulations? - ?R T K — beidou system? - ?Rotary tillage preparation? - ?Rotary tillages? - ?Tillage depth detection

Classification code: 1106.2 ? - ?1106.3.1 ? - ?703.2 Electric Filters? - ?716.1 Information Theory and Signal Processing? - ?731.1 Control Systems? - ?913.4 Manufacturing

Numerical data indexing: Decibel 4.10E+01dB, Percentage 0.00E00%, Percentage 5.00E+00%, Percentage 7.00E+00%, Size 5.00E-02m, Size 8.00E-02m, Size 8.90E-02m

DOI: 10.6041/j.issn.1000-1298.2024.09.004

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

18. Compensation Effect and Mechanism of Nitrogen Reduction Combined with Biochar Application on Soil Fertility and Rice Yield

Accession number: 20243917117964

Title of translation: 减氮配施生物炭对土壤肥力和水稻产量的补偿效应与机制

Authors: Liu, Hui (1, 2); Jiao, Yan (3); Dou, Wanyu (3); Zhang, Wenlong (3); Pei, Wei (1)

Author affiliation: (1) College of Arts and Sciences, Northeast Agricultural University, Harbin; 150030, China; (2) Key Laboratory of High Efficiency Utilization of Agricultural Water Resources, Northeast Agricultural University, Ministry of Agriculture and Rural Affairs, Harbin; 150030, China; (3) College of Engineering, Northeast Agricultural University, Harbin; 150030, China

Corresponding author: Pei, Wei(peiwei0308@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 391-401 and 469

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Nitrogen is an essential nutrient for the growth of rice. In order to increase yield, excessive application of nitrogen fertilizer often leads to low nitrogen utilization efficiency and also damages soil quality. Reducing the application of nitrogen fertilizer will lead to a decrease in rice yield. It is worth exploring whether biochar, as a soil amendment, can compensate for the negative effects of nitrogen reduction. A pot experiment was conducted to investigate the compensatory effects and mechanisms of biochar on soil fertility and rice yield under four conditions; conventional nitrogen application ( nitrogen fertilizer application rate of 110 kg/hm , CK) , 10% nitrogen reduction ( Cl ) , and 2. 5% ( C2 ) and 5% ( C3 ) concentration biochar application under 10% nitrogen reduction. The results showed that the nitrogen fertilizer reduced by 10% had no significant effect on soil comprehensive fertility. Applying biochar could effectively improve soil fertility, and 5 % concentration of biochar had better effect on soil fertility than that of 2. 5% concentration. Reducing nitrogen by 10% significantly reduced rice yield, and the application of biochar can compensate for the reduction caused by nitrogen reduction to some extent. Among them, the compensation effect of 2. 5% concentration of biochar on rice yield was better than that of 5% concentration, but it had not yet returned to the conventional nitrogen application level. Exploring the driving factors of rice yield under nitrogen reduction and biochar application conditions by using structural equations, the results showed that reducing nitrogen fertilizer combined with biochar can directly or indirectly affect rice yield by changing soil pH value, total potassium, ammonium nitrogen, and nitrate nitrogen content. Among them, ammonium nitrogen and nitrate nitrogen content were the main regulatory factors, which not only directly affected rice yield, but also indirectly affected the formation of rice yield by regulating the number of grains per panicle, effective panicle, and thousand grain weight; pH value and total potassium content had negative effects on rice yield. The research result can provide scientific basis for the reduction of fertilizer and efficient utilization of biochar in rice cultivation in the black soil area of Northeast China. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 47

Main heading: Nitrogen fertilizers

Controlled terms: Elastin? - ?Failure analysis? - ?Network performance? - ?pH effects? - ?Potassium fertilizers? - ?Reliability analysis

Uncontrolled terms: % reductions? - ?Biochar? - ?Compensation effects? - ?Condition? - ?Effect on soils? - ?Nitrogen reduction? - ?pH value? - ?Rice yield? - ?Soil fertility? - ?Structural equation models

Classification code: 1105 ? - ?214.1 ? - ?801 Chemistry? - ?804 Chemical Products Generally? - ?804.1 Organic Compounds? - ?804.2 Inorganic Compounds? - ?821.3 Agricultural Methods? - ?913.3 Quality Assurance and Control

Numerical data indexing: Mass 1.10E+02kg, Percentage 1.00E+01%, Percentage 5.00E+00%

DOI: 10.6041/j.issn.1000-1298.2024.09.034

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

19. Design and Experiment of Hand-held Shaking Branch Type Jujube Vibration Picker

Accession number: 20243917117957

Title of translation: 手持摇枝式酸枣振动采摘装置设计与试验

Authors: Liu, Hongjie (1); Li, Junteng (1); Yang, Xin (1, 2); Li, Jianping (1, 2); Wang, Pengfei (1)

Author affiliation: (1) College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding; 071001, China; (2) Technology Innovation Center of Intelligent Agricultural Equipment, Hebei Provincial, Baoding; 071001, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 194-204 and 215

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The hand-held shaking branch jujube harvester was designed to solve the problems of low manual harvesting efficiency and difficulty of large-scale mechanical harvesting in the process of jujube harvesting. By establishing the “fruit - branch” single pendulum dynamic model of jujube, the conditions of fruit shedding under forced vibration were analyzed, the dynamic model was solved, the main influencing factors affecting the picking effect of jujube were determined as vibration frequency, amplitude and clamping position. The free modal response and harmonic response analysis of the jujube plant model were carried out by ANSYS simulation software. The results showed that when the vibration frequency was 4 ~ 12 Hz, the amplitude was 10 ~ 20 mm, and the clamping position was 0. 3 ~ 0. 7 , the displacement of the main branch and the hanging fruit branch was obvious and there was less damage to the tree. In order to determine the optimal working parameters of the picking device, the three-factor and three-level vibration picking test was carried out with the picking rate of jujube as the evaluation index. Mathematical regression model of picking jujube and the influencing factors were obtained. The experimental data and response surface were analyzed and optimized by Design-Expert software. The optimal working parameters were determined as follows; the vibration frequency was 5.91 Hz, the amplitude was 15. 30 mm, the clamping position was 0. 45. At this time, the picking rate of jujube was 93. 33% . It can be seen through the validation test that the picking rate of jujube was 94. 18% , which was similar to tlee optimized values, indicating that the optimized model was reliable. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Vibration analysis

Controlled terms: Clamping devices? - ?Computer software selection and evaluation? - ?Digital elevation model? - ?Pendulums? - ?Regression analysis? - ?Software testing

Uncontrolled terms: Clamping positions? - ?Dynamics models? - ?Hand-held shaking branch? - ?Jujube? - ?Large-scales? - ?Mechanical? - ?Parameter optimization? - ?Vibration frequency? - ?Vibration picking? - ?Working parameters

Classification code: 1106 ? - ?1106.2 ? - ?1106.3.1 ? - ?1106.9 ? - ?1202.2 ? - ?605.2 Small Tools, Unpowered? - ?941.5?≠

Numerical data indexing: Frequency 4.00E+00Hz to 1.20E+01Hz, Frequency 5.91E+00Hz, Percentage 1.80E+01%, Percentage 3.30E+01%, Size 1.00E-02m to 2.00E-02m, Size 3.00E-02m

DOI: 10.6041/j.issn.1000-1298.2024.09.016

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

20. Variable-rate Seeding Control System Based on RTK Speed Measurement for Rapeseed Direct Seeder

Accession number: 20243917098033

Title of translation: 基于 RTK 测速的油菜直播机随速可控可调排种控制系统研究

Authors: Liao, Qingxi (1, 2); Luo, Zhancheng (1); Yang, Heng (1); Li, Mengliang (1); Shen, Wenhui (1); Wang, Lei (1, 2)

Corresponding author: Liao, Qingxi(liaoqx@mail.hzau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 65-74

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: ： A precision rapeseed seeder with continuous operation often faces the problem of inconsistent sowing quantity with the target seeding rate due to fluctuations in operating speed. To address this issue, a control system for precise rapeseed seeder, based on “RTK speed measurement + seed drop detection + real-time motor control,”was designed. Key parameters affecting the speed control performance were analyzed, and a stepper motor speed control model was established. Static speed drift tests were conducted by using the ZED 一 F9P GNSS module with the GNSSToolKitLite software. The analysis determined that the static speed drift of the module followed a normal distribution with a mean of 0. 054 m/s and a variance of 0. 029 m2/s 2. The performance tests with an automatic seed particle counter and the JPZS - 16 seeding performance test bench determined that the average absolute error between the seeding quantity detection value of the positive and negative pressure seeders and the actual value was less than 10% when the rotation speed was ranged from 5 r/min to 60 r/min. The speed control models for different seeders were determined through bench tests, and the functional relationship between the optimal operating speed range of different seeders and the motor speed with the target seeding rate was analyzed. The adaptability bench tests for different seeders demonstrated that when the operating speed was ranged from 3 km/h to 12 km /h, the total displacement coefficient of variation for the system equipped with a high-speed mechanical centrifugal seeder and a combined air-assisted seeder for rapeseed and wheat was less than 1.21% . Field tests showed that when the operating speed was ranged from 5 km/h to l2 km /h, the total displacement coefficient of variation for the system equipped with a highspeed mechanical centrifugal seeder and a furrow press wheel seeder was less than 9.7%, meeting the requirements of variable-rate seeding. This system can serve as a reference for improving the structure of precision rapeseed seeding control systems. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Oilseeds

Controlled terms: Cloud seeding? - ?Control system analysis? - ?Pneumatic control equipment? - ?Presses (machine tools)? - ?Speed indicators? - ?Stepping motors

Uncontrolled terms: Control model? - ?Controlable and adjustable? - ?Operating speed? - ?Rapeseed direct seeder? - ?Rate adjustment? - ?RTK speed measurement? - ?Seeding rate? - ?Seeding rate adjustment? - ?Speed measurement? - ?Variable rate

Classification code: 1401.3 ? - ?443.3 Precipitation? - ?603 Machine Tools? - ?705.3 Electric Motors? - ?731.1 Control Systems? - ?732.1 Control Equipment? - ?821.5 Agricultural Wastes? - ?942.1.1 ? - ?942.1.7

Numerical data indexing: Angular velocity 8.35E-02rad/s to 1.002E+00rad/s, Area 2.90E+01m2, Percentage 1.00E+01%, Percentage 1.21E+00%, Percentage 9.70E+00%, Size 1.20E+04m, Size 3.00E+03m, Size 5.00E+03m, Velocity 5.40E+01m/s

DOI: 10.6041/j.issn.1000-1298.2024.09.005

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

21. Crown Leaf Area Estimation Based on Mobile Multi-layer LiDAR Scanning

Accession number: 20243917117933

Title of translation: 基于移动多线激光雷达扫描的树冠叶面积估计方法

Authors: Li, Qiujie (1); Ding, Li (1)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing; 210037, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 308-315 and 480

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The mobile single-layer laser detection and ranging (LiDAR) scanning (MSLS) method for estimating tree crown leaf area used a single-layer LiDAR sensor with a single perspective to collect point cloud data on crowns, but the obtained canopy information was not comprehensive enough, which limited the accuracy of crown leaf area estimation. A crown leaf area estimation method was proposed based on mobile multi-layer LiDAR scanning ( MMLS) , which used a multi-layer LiDAR sensor to collect crown point cloud data from multiple perspectives and improve the accuracy of crown leaf area estimation. Firstly, the point cloud data collected by multi-layer LiDAR was transformed into the world coordinate system. The crown point cloud was extracted through the region of interest ( ROI) . Then, an MMLS crown point cloud fusion method was proposed, which fused the crown point clouds collected by a single laser one by one, set a distance threshold to remove duplicate points, and added new points. Finally, an MMLS spatial resolution grid was constructed, and a crown leaf area estimation model was established based on the crown grid area. The experiment used a multi-layer LiDAR sensor VLP - 16 to build an MMLS system. Two measurement distances of 1 m and 1.5 m, and eight measurement angles with an increment of 45°, were set to collect data from six tree crowns with different canopy densities. A total of 96 tree crown samples were obtained. Using the proposed method, the root mean square error (RMSE) of the linear estimation model for crown leaf area was 0. 104 1 m , which was 0. 057 8 m lower than that of the MSLS model, and the coefficient of determination R2 was 0. 952 6 , which was 0. 067 5 higher than that of the MSLS model. The experimental results showed that the proposed method can effectively improve the accuracy of crown leaf area estimation through multi-layer LiDAR multi-perspective crown point cloud data collection, MMLS crown point cloud fusion, and spatial-resolution grid construction. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Mean square error

Controlled terms: Coordinate measuring machines? - ?Geological surveys? - ?Image resolution? - ?Laser applications? - ?Prisms? - ?Strain measurement? - ?Time difference of arrival? - ?Velocity measurement

Uncontrolled terms: Crown leaf area? - ?Laser scanning? - ?Leaf area? - ?Mobile laser scanning? - ?Multi-layer LiDAR? - ?Multi-layers? - ?Point cloud fusion? - ?Point-clouds? - ?Spatial resolution? - ?Spatial-resolution grid

Classification code: 1106.3.1 ? - ?1202.2 ? - ?405.3 Surveying? - ?481.1 Geology? - ?716.1 Information Theory and Signal Processing? - ?741.3 Optical Devices and Systems? - ?744.6 Lasers Other Than Gas, Liquid, Solid State or Semiconductor? - ?941.5?≠ ? - ?942.1.7

Numerical data indexing: Size 1.00E00m, Size 1.50E+00m, Size 8.00E+00m

DOI: 10.6041/j.issn.1000-1298.2024.09.026

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

22. Load-adaptive Energy Management Strategy for Electric Tractor Based on Hybrid Power Source

Accession number: 20243917117954

Title of translation: 电动拖拉机混合电源负载自适应能量管理策略研究

Authors: Li, Liqiao (1, 2); Gao, Zongyu (1, 2); Nie, Jing (1, 2)

Author affiliation: (1) College of Mechanical and Electrical Engineering, Shihezi University, Shihezi; 832003, China; (2) Xinjiang Production and Construction Corps Key Laboratory of Modern Agricultural Machinery, Shihezi; 832003, China

Corresponding author: Gao, Zongyu(gzy19750510@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 459-469

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The large randomness of working conditions and frequent dynamic load changes leading to low energy utilization of pure electric tractor, in order to solve the problems, a power supply system of pure electric tractor based on load adaptive battery/super-capacitor hybrid power supply was proposed. Based on the analysis of operating conditions and power demand of pure electric tractor, the optimal control mode of power system was found by dynamic programming analysis method, and piecewise control rules were proposed from the dynamic programming analysis results, and the functional relationship between the power division parameter model and load statistics was established. Finally, an energy management strategy of electric tractor based on load adaptive rules was proposed, and the combined load cycle mode of stationary road conditions and random load cycle mode of non-stationary road conditions were verified by test. The results showed that compared with the energy management strategy of ordinary control rules, the load adaptive energy management strategy of electric tractor proposed had stronger battery protection and energy saving capabilities, and could realize the optimal energy management under the load adaptive mode. The battery ampere-hour throughput and the total energy loss of the power system were reduced by 10. 5% ~ 15. 7% and 8. 7% ~ 15. 1% respectively under different working conditions. The results showed that the proposed pure electric tractor load adaptability energy management strategy could achieve optimal energy management inreal time and online with low computational cost. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 27

Main heading: Energy utilization

Controlled terms: Battery management systems? - ?Electric load management? - ?Energy dissipation? - ?Tractors (agricultural)

Uncontrolled terms: Condition? - ?Control-rules? - ?Electric tractors? - ?Energy? - ?Energy management strategy? - ?Load adaptability? - ?Load adaptive? - ?Management strategies? - ?Power supply? - ?Supply system

Classification code: 1009.1 ? - ?1009.2 ? - ?663.1 Heavy Duty Motor Vehicles? - ?702.1.2 Secondary Batteries? - ?706.1.2 Electric Power Distribution? - ?821.2 Agricultural Chemicals

Numerical data indexing: Percentage 1.00E00%, Percentage 5.00E+00%, Percentage 7.00E+00%

DOI: 10.6041/j.issn.1000-1298.2024.09.041

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

23. Topology Design, Dimension Optimization and Workspace Analysis of Spatial Single-loop Two-translation Parallel Mechanisms

Accession number: 20243917117953

Title of translation: 单回路空间两平移并联机构拓扑设计与尺度优化

Authors: Li, Ju (1); She, Junjie (1); Shen, Huiping (1); Du, Zhongqiu (1)

Author affiliation: (1) Research Center for Advanced Mechanisms Theory, Changzhou University, Changzhou; 213016, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 470-480

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: For the needs of the mechanical components not limited by space when machines working in narrow spaces, according to the topology design theory and method of parallel mechanism ( PM ) based on position and orientation characteristic ( POC ) equations, a set of 12 spatial single-loop two-translation PMs, each propelled by two actuated prismatic joints, was designed and the degrees of freedom of each PM were calculated. A comprehensive kinematic modeling effort was undertaken, focusing on eight select PM configurations. Through meticulous analysis and computation, the univariate eighth-degree polynomial equations (i.e. , closed-form solution) were derived for each configuration. Symbolic inverse solutions were also derived respectively, Additionally, numerical examples were employed to validate the accuracy and efficacy of these solutions. Leveraging the differential evolution algorithm, an exhaustive effort was made to maximize the working space of the eight PM configurations under consideration. Through iterative refinement and optimization, the maximal operational envelopes of these PMs were meticulously determined, offering insights into their potential operational capabilities within varied working environments. Following a comprehensive comparative analysis of the maximal working spaces achieved by each PM configuration, two configurations boasting the largest working spaces were selected, which served as the foundational basis for subsequent endeavors, including the stiffness analysis, dynamic analysis and structural design of these PMs. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 21

Main heading: Inverse problems

Controlled terms: Inverse kinematics? - ?Polynomials? - ?Structural analysis

Uncontrolled terms: Design dimensions? - ?Dimension optimization? - ?Loop space? - ?Optimisations? - ?Parallel mechanisms? - ?Single loop? - ?Single loop space? - ?Topology design? - ?Two translation? - ?Working space

Classification code: 1201 ? - ?1201.1 ? - ?1301.1.1 ? - ?408 Structural Design

DOI: 10.6041/j.issn.1000-1298.2024.09.042

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

24. Design and Testing of Multifunctional Strip-tillage Device Based on Normal Distribution Regular Variable Conditioning

Accession number: 20243917117948

Title of translation: 正态分布规律变量调节式多功能条播装置设计与试验

Authors: Lan, Yubin (1, 2); Han, Jin’gang (1, 2); Zhang, Tongsheng (1, 2); Liu, Lilian (1, 2); Yang, Xue (1); Song, Cancan (1, 2)

Author affiliation: (1) College of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo; 255049, China; (2) Research Institute of Ecological Unmanned Farm, Shandong University of Technology, Zibo; 255049, China

Corresponding author: Song, Cancan(songcc@sdut.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 75-88

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming to address the problem of strip-tillers forming strips, a novel and adaptable strip seeding apparatus was introduced. This equipment represented a significant technological leap, which was capable of executing a wide array of strip patterns, ranging from uniform to non-uniform distributions. Its comprehensive scope encompassed multifaceted dimensions, notably focusing on the structural blueprint of the strip seeding apparatus. It included a detailed exposition of the intricate principles governing variable adjustments, an extensive analysis of the simulated effects under diverse configurations, and robust empirical validation through rigorous bench-scale testing. The EDEM simulation and benchtop experiments were utilized to test the variable adjustment performance of compound fertilizer and rice seed particles in the strip seeding device and the strip-forming effect under different variable adjustments was dynamically evaluated. Simulated results from the inlet feeding angle experiments showed that when conducted at a 70° angle, substantiating a gradual escalation in the coefficient of variation ( CV ) , transitioning from the upper grid group (9% ) to the lower grid group (27% ) , manifesting an 18% CV variance. This nuanced alteration barely disrupted particle flow, aligning meticulously with the intended uniformity envisaged in the design framework. The empirical findings regarding variable adjustment performance revealed stark disparities in granular flow among discharge tubes. The combination with the highest difference in compound fertilizer particle flow was Combination 8 ( CV was 92% ) , with a maximum difference of 0. 214 kg and the widest variable range (6% ~41% ) . The combination with the smallest difference was Combination 11 ( CV was 44% ) , with a minimum difference of 0. 100 kg and the narrowest variable range (11% ~27%). As for rice seed particles, the maximum difference also occurred in Combination 8 ( CV was 90% ) with a variable range of (5% ~40% ) , while the minimum difference was in Combination 11 ( CV was 40% ) with a variable range of (11% ~ 27% ). Overall, there was a significant difference between the coefficient of variation and the variable range among the 12 combinations. The coefficient of variation for compound fertilizer particles ranged from 44% to 92% , with a variable range of 6% to 42% . The coefficient of variation for rice seeds ranged from 40% to 90% , with a variable range of 5% to 40% . Moreover, distinct configurations noticeably influenced particle quality alterations, facilitating differentiated adjustments in strip width and spacing between rows. This nuanced variation within similar variable adjustments further validated the instrument’s robustness in achieving finer gradations in strip width and spacing. The culmination of these in-depth investigations served as an invaluable guide for refining and optimizing this variable strip seeding apparatus. The research results can offer comprehensive technical solutions and a reservoir of foundational knowledge. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 18

Main heading: Striping machines

Controlled terms: Cloud seeding? - ?Voltage dividers

Uncontrolled terms: Coefficients of variations? - ?Compound fertilizer? - ?EDEM? - ?Performance? - ?Rice seed? - ?Seed particle? - ?Sow? - ?Strip device? - ?Variable range? - ?Variable regulation

Classification code: 405.1 Construction Equipment? - ?406.2 Roads and Streets? - ?443.3 Precipitation? - ?704.1 Electric Components

Numerical data indexing: Mass 1.00E+02kg, Mass 2.14E+02kg, Percentage 1.10E+01%, Percentage 1.80E+01%, Percentage 2.70E+01%, Percentage 4.00E+01%, Percentage 4.00E+01% to 9.00E+01%, Percentage 4.10E+01%, Percentage 4.40E+01%, Percentage 4.40E+01% to 9.20E+01%, Percentage 5.00E+00% to 4.00E+01%, Percentage 5.00E+00%, Percentage 6.00E+00% to 4.20E+01%, Percentage 6.00E+00%, Percentage 9.00E+00%, Percentage 9.00E+01%, Percentage 9.20E+01%

DOI: 10.6041/j.issn.1000-1298.2024.09.006

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

25. Review of Key Technologies for Mechanized Production of Sandy Shrubs

Accession number: 20243917098352

Title of translation: 沙生灌木机械化生产技术装备研究现状与发展展望

Authors: He, Changbin (1, 2); Jing, Hongwe (1); Te, Binguribu (3); Shi, Lei (3); Tu, Nala (3)

Author affiliation: (1) College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot; 010018, China; (2) Inner Mongolia Engineering Research Center of Intelligent Equipment for the Entire Process of Forage and Feed Production, Hohhot; 010018, China; (3) Hangjinqi Agricultural and Animal Husbandry Technology Extension Center, Ordos; 017400, China

Corresponding author: He, Changbin(changbin_he@imau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 21-41

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: ： Sandy shrubs are important tree species to promote the comprehensive management of sandy land in key areas in China. In order to provide references and supports to the development of sandy shrub industry in China, on the basis of summarizing the main technical modes of sandy shrub mechanized production technology, the current status of mechanized planting, harvesting, and processing technology of sandy shrubs was outlined, and the problems and development trends at the present stage were clarified as well. The sandy shrub industry basically formed a planting — harvesting — processing — utilization production mode, covering these links of planting, management, harvesting, processing and utilization. Although there were already some machinery and equipment, certain problems still existed in the current stage, i. e., uneven development of mechanized production links, insufficient machinery and equipment support, low applicability and reliability of mechanical equipment, insufficient research and development of key technologies of sandy shrub production machinery and equipment, poor linkage between process technology and machinery. Establishing complete mechanized technology system for the whole process of sandy shrub production, strengthening the theoretical system of sand - sandy shrub - machinery interaction relationship and other key technology research, and developing the integrated and intelligent sandy shrub production machinery would be the development direction of sandy shrub mechanized production technology in China. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 136

Main heading: Research and development management

Controlled terms: Plant management? - ?Refining

Uncontrolled terms: Comprehensive managements? - ?Current status? - ?Key technologies? - ?Korshinsk peashrub? - ?Plantings? - ?Production machinery? - ?Production technology? - ?Salix psammophila? - ?Sandy shrub planter? - ?Tree species

Classification code: 901.3 Engineering Research? - ?912.2 Management

DOI: 10.6041/j.issn.1000-1298.2024.09.002

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

26. Design and Experiment of Electric Self-propelled Maize Peanut Strip Compound Planting Pesticide Applicator

Accession number: 20243917117936

Title of translation: 电动自走式玉米-花生带状复合种植模式施药机设计与试验

Authors: Hao, Jianjun (1, 2); Ai, Qinghe (1); Yuan, Dachao (1); Li, Zhaowei (1); Yang, Shuhua (1); Zhao, Jianguo (1)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 216-225 and 274

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: A control system based on STM32 microcontroller was designed for the electric self-propelled maize - peanut strip compound planting pesticide application machine, in order to meet the agronomic requirements for the pesticide application of maize - peanut strip compound planting. The selection and design of key components such as the driving motor, steering mechanism, spray boom and anti-drift device, and pesticide application pipeline for the pesticide application machine were carried out. Realtime data collection is achieved using flow sensors to monitor pipeline liquid flow and speed sensors to track chassis driving speed. The incremental PID algorithm is employed to adjust the proportional control valve opening in real-time. This dynamic adjustment ensures accurate and responsive control over the pesticide application process. As a result, the system implements variable spray control. An APP control software was developed based on Android phones, achieving remote control of the pesticide applicator. The accuracy test of flow control showed that the relative error between the target flow rate of a single nozzle after regulation and the actual flow rate 77^4.0%. The variable application experiment showed that during the experiment, the average overshoot of the application system was 2. 7% , and the difference between the application amount and the theoretical value was 2. 1%. The fog droplet deposition test showed that the number of fog droplets deposited had a range of 4 drops/cm2, and the minimum deposition amount per unit area was 35 drops/cm2, which met the national standard. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Applicators

Controlled terms: Insecticides? - ?Nozzle design? - ?Oilseeds? - ?Safety valves? - ?Spray nozzles

Uncontrolled terms: APP control? - ?Driving motors? - ?Electric self-propelled pesticide applicator? - ?Pesticide applications? - ?Pesticide applicators? - ?Planting systems? - ?Plantings? - ?Real- time? - ?Strip compound planting system of maize and peanut? - ?Variable-rate applications

Classification code: 301.1 ? - ?408 Structural Design? - ?605 Small Tools and Hardware? - ?610.1.1 ? - ?803 Chemical Agents and Basic Industrial Chemicals? - ?821.3 Agricultural Methods? - ?821.5 Agricultural Wastes? - ?904 ? - ?914.1 Accidents and Accident Prevention

Numerical data indexing: Percentage 1.00E00%, Percentage 4.00E+00%, Percentage 7.00E+00%

DOI: 10.6041/j.issn.1000-1298.2024.09.018

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

27. Fruit Tree Point Cloud Registration Based on Normal Vector Angles and Branch Leaf Segmentation Method

Accession number: 20243917117928

Title of translation: 基于法向量夹角的果树点云配准与枝叶分割方法硏究

Authors: Han, Hongqi (1); Jiang, Zizhen (1); Zhou, Jun (1); Gu, Baoxing (1)

Author affiliation: (1) College of Engineering, Nanjing Agricultural University, Nanjing; 210031, China

Corresponding author: Zhou, Jun(zhoujun@njau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 327-336

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In realizing full automation of orchard operations, it is urgent to construct a 3D model of fruit tree branches and trunks in the natural environment directly. Point clouds of fruit trees collected from different views in the natural environment were registered. Considering that sampling consistency (SAC - IA) + iterative nearest point (ICP) registration algorithm took a long time and had low accuracy in point cloud registration. Thus, the feature points of the source point cloud and target point cloud were extracted by combining the angle of the normal vector of the point cloud, and then matching point pairs were found in the feature points of the source and target point clouds based on the cosine value of the angle of the normal vector of the point cloud. Using the matching point pairs of fruit tree point clouds, an improved SAC - IA + ICP point cloud registration algorithm was proposed. Further, the registered fruit tree point cloud was partitioned by using the partitioning technology of minimum box partition, and then the branches and leaves of the partitioned sub-blocks were roughed by using the geometric features of the point cloud; finally, the branches and leaves were partitioned by using Euclidean clustering. Compared with the original SAC - IA + ICP algorithm, the average rotation error was reduced by 85. 44% , and the registration root mean square error can be reduced by 71.74% , the registration time was reduced by 97.99%. Meantime, compared with the SAC - IA + NDT algorithm, the average rotation error was reduced by 90. 38% , and the registration root mean square error can be reduced by 85. 39% , the registration time was reduced by 98. 04% . The segmentation algorithm can complete the segmentation of branches and leaves, and the accuracy can reach 94. 77% compared with manual segmentation. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 39

Main heading: Mean square error

Controlled terms: Orchards? - ?Trees (mathematics)? - ?Vectors

Uncontrolled terms: Branch - leaf segmentation? - ?Fruit trees? - ?Natural environments? - ?Normal vector? - ?Normal vector angle? - ?Point cloud registration? - ?Point-clouds? - ?Registration algorithms? - ?Source points? - ?Vector angle

Classification code: 1201.1 ? - ?1201.14 ? - ?1201.4 ? - ?1201.8 ? - ?1202.2 ? - ?821.4 Agricultural Products

Numerical data indexing: Percentage 3.80E+01%, Percentage 3.90E+01%, Percentage 4.00E+00%, Percentage 4.40E+01%, Percentage 7.174E+01%, Percentage 7.70E+01%, Percentage 9.799E+01%

DOI: 10.6041/j.issn.1000-1298.2024.09.028

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

28. Parameter Calibration for Discrete Element Simulation of Red Clay Soils in Sloping Cropland in Central Yunnan

Accession number: 20243917098425

Title of translation: 滇中地区坡耕地红黏土离散元仿真模型参数标定与试验

Authors: Guq, Lin (1); Fang, Qiming (1); Li, Mingfei (1); Wang, Zhi (2); Wang, Can (1); Zhang, Liyun (1)

Author affiliation: (1) Faculty of Mechanical and Electrical Engineering, Yunnan Agricultural University, Kunming; 650201, China; (2) College ofMechanical Engineering, Xi’an Shiyou University, Xi’an; 710065, China

Corresponding author: Zhang, Liyun(37545459@qq.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 185-193 and 285

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: ： Aiming at the problems of insufficient parameters and inaccurate simulation in discrete element simulation for Yunnan red clay soil, taking the red clay soil of sloping cultivated land in central Yunnan as the research object, the simulation model of the unconfined compressive strength test based on the E E P A model and the Bonding model was established by combining the unconfined compressive strength test and the discrete element simulation method, and the relevant parameters in the simulation model were calibrated. The maximum axial pressure of soil sample fracture in the unconfined compressive strength test was 431. 19 N. The Plackett - Burman test was designed with the maximum axial pressure as the response value to screen out the factors that had a highly significant influence on the response value, and the optimal parameters of the highly significant factors were determined by the Steepest Ascent test and Box - Behnken test. The results were as follows ： the normal stiffness per unit area of the Bonding model X1 was 3. 14 X 108 N / m 3, the critical normal stress X3 was 53 175. 4 P a, and the contact-plasticity ratio of the E E P A model Xf was 0. 318 24. In the validation simulation under this parameter combination, the relative error between the maximum axial pressure and the test was only 1. 7 1 %, and the fracture surface of the bonding Bond was compared favorably with the test. The data obtained from the simulation were consistent with the test, indicating that the parameter combination was reliable and can provide a theoretical basis for the subsequent discrete element simulation of red clay. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 34

Main heading: Compressive strength

Controlled terms: Clay? - ?Compression testing? - ?Digital elevation model? - ?Fertilizers? - ?Fracture testing? - ?Plasticity testing? - ?Soil testing

Uncontrolled terms: Axial pressures? - ?Clay soil? - ?Discrete elements method? - ?Discrete-element simulations? - ?Red clay? - ?Simulation model? - ?Strength sloping red test； clay parameter in central calibration yunnan ； discrete element method;? - ?Strength tests? - ?Unconfined compressive? - ?Unconfined compressive strength

Classification code: 1106.2 ? - ?1106.3.1 ? - ?1502.1.1.3 ? - ?1502.1.1.4.3 ? - ?214 ? - ?214.1.2 ? - ?214.1.3 ? - ?215.1.2 ? - ?217.4.1 ? - ?483.1 Soils and Soil Mechanics? - ?821.3 Agricultural Methods

Numerical data indexing: Force 1.90E+01N, Percentage 1.00E00%, Surface tension 1.08E+02N/m

DOI: 10.6041/j.issn.1000-1298.2024.09.015

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

29. Crop Classification Based on PolSAR Data Using Multiple Feature Optimization

Accession number: 20243917117955

Title of translation: 基于多特征优化的PolSAR数据农作物精细分类方法

Authors: Guo, Jiao (1, 2); Wang, Heying (1); Xiang, Shiyu (1); Lian, Jiaqian (1); Wang, Hui (3)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest a and F University, Shaanxi, Yangling; 712100, China; (2) Shaanxi Key Laboratory of Agriculture Information Perception and Intelligent Service, Shaanxi, Yangling; 712100, China; (3) Shanghai Institute of Satellite Engineering, Shanghai; 201109, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 275-285

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Crop fine classification is of great significance in many fields such as agricultural resources survey and crop planting structure supervision. Polarimetric synthetic aperture radar ( PolSAR ) can effectively detect camouflage and penetrate masks, extract multiple scattering feature information, obtain continuous time series information covering the key climatic phases of crop growth, and effectively enhance the richness of crop remote sensing features, which is a unique advantage in crop classification. However, the introduction of multi-temporal phases and multi-features inevitably leads to a drastic increase in model arithmetic, which is not conducive to engineering applications. In view of the above problems, a multi-feature optimization-based approach for crop fine classification of PolSAR data was proposed, which firstly carried out multiple polarization target decomposition and parameter extraction of the PolSAR data in order to obtain multiple scattering features, and then a stacked sparse self-coding network based and ReliefF preferred method was used for feature enhancement and optimization to obtain the optimal set of features, and finally a convolutional neural network with two branching structures was constructed to fuse the features output from different convolutional depths to complete the high-precision classification of crops. Through the characterization of single-time-phase data, the preliminary classification experiments of single-time-phase data and the comparison experiments of combining classifiers with different feature sets of multi-time-phase data, it was proved that the method proposed can maximally extract the differential features between different crops under the premise of low-dimensional feature input, and accurately and efficiently realize the fine classification of crops, with the highest classification accuracy and Kappa coefficient reaching 97. 69% and 97. 24% , respectively. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 30

Main heading: Multiple scattering

Controlled terms: Network coding

Uncontrolled terms: Convolutional neural network? - ?Crop classification? - ?Features optimizations? - ?Multifeatures? - ?Multiple-scattering? - ?Phase data? - ?Polarimetric synthetic aperture radar data? - ?Polarimetric synthetic aperture radars? - ?ReliefF? - ?Stack sparse self-coding network

Classification code: 1301.1.3.1.1 ? - ?716.1 Information Theory and Signal Processing

Numerical data indexing: Percentage 2.40E+01%, Percentage 6.90E+01%

DOI: 10.6041/j.issn.1000-1298.2024.09.023

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

30. Estimating Aboveground Biomass of Maize Based on Multispectral Remote Sensing and Convolutional Neural Network

Accession number: 20244017127786

Title of translation: 基于多光谱遥感和CNN的玉米地上生物量估算模型

Authors: Zhou, Mingu (1); Yan, Yuncai (2); Gao, Wen (2); He, Jingyuan (2); Li, Xinshuai (2); Niu, Zijie (2)

Author affiliation: (1) Institute of Water-saving Agriculture in Arid Areas of China, Northwest A&F University, Shaanxi, Yangling; 712100, China; (2) College of Mechanical and Electronic Engineering, Northwest A&F University, Shaanxi, Yangling; 712100, China

Corresponding author: Niu, Zijie(niuzijie@nwsuaf.educn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 238-248

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Rapid and accurate estimation of aboveground biomass (AGB) in maize is crucial for evaluating maize growth and precise field management. Current AGB prediction methods mainly use optical vegetation indexes extracted from UAV images, employing linear models or machine learning algorithms. These methods often result in significant loss of raw image information and face saturation effects during later stages of maize growth, severely degrading model accuracy. UAV images and ground data were collected from maize at the nodulation, silking, and milking stages. The correlations between dry and fresh AGB of maize and eight vegetation indexes at different fertility stages were analyzed. Optimal vegetation indexes were used to build a multilayer perceptron (MLP) model, while UAV multispectral images were used to construct a convolutional neural network (CNN) model to estimate dry and fresh AGB, respectively. The results showed that the accuracy of the MLP-based maize AGB dry weight estimation model was decreased sharply with the advancement of maize fertility, and the R values of validation set of MLP model for the three growing seasons were 0. 65, 0. 23, and 0. 32, and the RMSE values were 0. 27 t/hm2, 2. 15 t/hm2, and 5. 03 t/hm2, respectively. The CNN model can better overcome the spectral saturation problem with good accuracy and applicability. The R2 values of the three fertility validation sets were improved by 27. 69%, 191. 30% and 171. 88%, and the RMSE was reduced by 22. 22%, 38. 14% and 45. 53%, respectively. The accuracy of the MLP-based maize AGB fresh weight estimation model was similarly low in the late maize growth stage model, with R2 values of 0. 27 and 0. 37, and RMSE values of 11. 57 t/hm2 and 14. 98 t/hm2 for the validation sets of the spatula and milk maturity stages, respectively. The R2 values of the validation set for the two fertility stages of the CNN model was improved by 159. 26% and 129. 73%, and the RMSE was decreased by 26. 62% and 54. 01%, respectively. The CNN model using original multispectral images as inputs achieved the best estimation results, providing valuable guidance for monitoring research and precise management of maize at different fertility stages. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 49

Main heading: Vegetation

Controlled terms: Convolutional neural networks? - ?Grain (agricultural product)? - ?Multilayer neural networks? - ?Unmanned aerial vehicles (UAV)

Uncontrolled terms: Aboveground biomass? - ?Aerial remote sensing? - ?Convolutional neural network? - ?Maize? - ?Multi-spectral? - ?Multilayers perceptrons? - ?Multiple fertility stage? - ?Neural network model? - ?Unmanned aerial remote sensing? - ?Validation sets

Classification code: 103 ? - ?1101 ? - ?1101.2.1 ? - ?652.1 Aircraft, General? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control? - ?821.5 Agricultural Wastes

Numerical data indexing: Percentage 1.00E00%, Percentage 1.40E+01%, Percentage 2.20E+01%, Percentage 2.60E+01%, Percentage 3.00E+01%, Percentage 5.30E+01%, Percentage 6.20E+01%, Percentage 6.90E+01%, Percentage 7.30E+01%, Percentage 8.80E+01%

DOI: 10.6041/j.issn.1000-1298.2024.09.020

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

31. Effects of Biochar and Oganic Frtilizer Addition on Net Carbon Emission of Paddy Field in Black Soil Area under Water-saving Irrigation

Accession number: 20244017128075

Title of translation: 节水灌溉下生物炭与有机肥添加对黑土区稻田净碳排放的影响

Authors: Xue, Li (1, 2); Zhang, Zhongxue (1, 2); Qi, Zhijuan (1, 2); Han, Yu (1, 2); Zhang, Zuohe (3); Li, Tiecheng (1, 2); Du, Sicheng (1, 2)

Author affiliation: (1) School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin; 150030, China; (2) Key Laboratory of Efficient Utilization of Agricultural Water Resources, Ministry of Agriculture and Rural Affairs, Northeast Agricultural University, Harbin; 150030, China; (3) College of Agriculture and Hydraulic Engineering, Suihua University, Suihua; 152061, China

Corresponding author: Zhang, Zhongxue(zhangzhongxue@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 382-390 and 441

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to explore the effects of biochar and organic fertilizer on net carbon emission from paddy fields in black soil area under water-saving irrigation, a field experiment was carried out in 2023. Two irrigation modes, conventional flooding irrigation (F) and controlled irrigation (C), were set up in the experiment. At the same time, biochar returning (B) and organic fertilizer returning (O) were set up in each irrigation mode, and no material returning (N) was used as the control group, a total of six treatments. The effects of biochar and organic fertilizer on CH4, CO2, N2O emissions and rice yield in paddy soil under two irrigation modes were analyzed. Combined with the change of soil organic carbon content, the net greenhouse gas emissions (NGHGE) of each treatment were calculated. The results showed that under the same material application, the cumulative CH4 emission of controlled irrigation treatment was 71. 06% ~ 85. 39% lower than that of conventional irrigation. The cumulative emissions of CO2 and N2O were increased by 41. 89% ~ 47. 97% and 27. 56% ~ 38. 26%, respectively, compared with that of conventional irrigation. Compared with the control treatment, biochar application reduced the cumulative emissions of N2O and CH4 by 14. 31% ~23. 90% and 15. 10% ~23. 83%, respectively, and increased the cumulative emissions of CO2 by 23. 03% ~ 26. 63%. The application of organic fertilizer increased the cumulative emissions of N2O, CH4, CO2 by 8.22% ~ 12.09%, 18.36% ~ 19.22%, 51.48% ~53.48%, respectively. The application of biochar and organic fertilizer could increase soil organic carbon content and rice yield, and the increase effect was more obvious under controlled irrigation. The NGHGE of controlled irrigation treatment was significantly smaller than that of conventional irrigation (P ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 35

Main heading: Greenhouse gas emissions

Uncontrolled terms: Biochar? - ?Black soil? - ?Black soil paddy field? - ?Carbon emissions? - ?Controlled irrigations? - ?Greenhouses gas? - ?Organic fertilizers? - ?Organics? - ?Paddy fields? - ?Water-saving irrigation

Classification code: 1502.1.2

Numerical data indexing: Percentage 1.00E+01%, Percentage 1.209E+01%, Percentage 1.836E+01%, Percentage 1.922E+01%, Percentage 2.60E+01%, Percentage 3.00E+00%, Percentage 3.10E+01%, Percentage 3.90E+01%, Percentage 4.401E+01%, Percentage 5.148E+01%, Percentage 5.348E+01%, Percentage 5.60E+01%, Percentage 6.00E+00%, Percentage 6.30E+01%, Percentage 6.38E+00%, Percentage 8.22E+00%, Percentage 8.30E+01%, Percentage 8.90E+01%, Percentage 9.00E+01%, Percentage 9.70E+01%

DOI: 10.6041/j.issn.1000-1298.2024.09.033

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

32. Calibration and Verification of Flexible Rice Straw Model by Discrete Element Method

Accession number: 20244017127559

Title of translation: 水稻秸秆离散元柔性模型参数标定与试验验证

Authors: Xia, Junfang (1, 2); Zhang, Peng (1); Yuan, Hongwen (1); Du, Jun (1, 2); Zheng, Kan (1, 2); Li, Yufei (1, 2)

Corresponding author: Du, Jun(dujun@mail.hzau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 174-184

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Rice straw in the fields of the middle and lower reaches of the Yangtze River exhibits high stubble retention and a substantial straw volume. The interaction between straw and tools are complicated and have a significant impact on the performance of straw incorporation implement. The lack of accurate rice straw model by discrete element method (DEM) limits the analysis of the interaction between straw and tools during the design and optimization of key components of straw incorporation implement. A flexible rice straw model was established by the particle replacement method based on the Hertz - Mindlin with Bonding contact model in DEM. Calibration of the discrete element model and multi-condition experimental verification were conducted. The friction coefficients of rice straw were determined through physical experiments, and the maximum load was measured in the straw bending test as the calibration index. The Plackett - Burman experiment and the steepest ascent experiment were used to select significant factors and their optimal value ranges for the flexible model, and the optimal parameter combinations for significant factors of the straw bonding model were determined by Central - Composite tests. The result was the normal contact stiffness was 3. 040 × 1010 N/m3, and the tangential contact stiffness was 2. 296 × 1010 N/m3. The relative error between the maximum load obtained from the simulation with the calibrated parameters and the actual maximum load with the experiment was 1. 82%. It indicated the effectiveness of the calibration method. To verify the effectiveness of the above calibration method under different working conditions, the bending test of blades and the rotating cutting test of the rotary blade were conducted. The relative error between the maximum load obtained with the simulation and experiment in the bending test of blades was not more than 4. 55%, while the relative error of the maximum torque between the simulation and experiment in the rotating cutting test of the rotary blade was not more than 7. 95%. It indicated that the flexible rice straw model by DEM calibrated using the bending test was accurate and effective in simulating straw bending test and rotating cutting of the rotary blade processes and applicable to simulation analysis under the rotary tillage operating conditions. The research provided an effective model and method to analysis of the interaction between straw and tools for the optimization design of key components of straw incorporation implement. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 33

Main heading: Bending tests

Controlled terms: Bending tools

Uncontrolled terms: Condition? - ?Discrete elements? - ?Discrete elements method? - ?Maximum load? - ?Parameters calibrations? - ?Relative errors? - ?Rice straws? - ?Rotary blades? - ?Rotary tillages? - ?Straw incorporations

Classification code: 215.1.2 ? - ?603 Machine Tools

Numerical data indexing: Percentage 5.50E+01%, Percentage 8.20E+01%, Percentage 9.50E+01%, Surface tension 2.96E+12N/m, Surface tension 4.00E+11N/m

DOI: 10.6041/j.issn.1000-1298.2024.09.014

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

33. Design and Experiment of Lightweight and Simple Centralized Seeding Fertilizing Device for Rapeseed in Hilly and Mountainous Areas

Accession number: 20244017135076

Title of translation: 丘陵山区轻筒型油菜种-肥同播同施集排装置设计与试验

Authors: Wang, Lei (1, 2); Zhou, Guowei (1, 3); Zhang, Qingsong (1, 3); Liao, Qingxi (1, 3); Liao, Yitao (1, 3); Niu, Li (1); Xia, Libo (1, 3)

Author affiliation: (1) College of Engineering, Huazhong Agricultural University, Wuhan; 430070, China; (2) Key Laboratory of Agricultural Equipment for Hilly and Mountainous Areas in Southeastern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Hangzhou; 310021, China; (3) Key Laboratory of Agricultural Equipment in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan; 430070, China

Corresponding author: Zhang, Qingsong(qszhang@mail.hzau.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 89-101

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In response to the practical problem of the lack of light and simple integrated planter’ seeding device and fertilizing device for rapeseed in small fields such as hilly and mountainous areas, a centralized seeding - fertilizing device for rapeseed was developed. The working process of the centralized seeding- fertilizing device for rapeseed was clarified. The main structural parameters of the seeding cylinder and fertilizing cylinder were determined. The influence of the fertilizer layer control board position on the matching of seeding and fertilizing quantity was analyzed. An experiment was conducted using EDEM simulation to investigate the seeding and fertilizing performance of the centralized seeding - fertilizing device for rapeseed. A model was established to determine the relationship between the fertilizer layer control board position and the fertilizing quantity. The experimental results showed that when the seed - fertilizer cylinder rotating speed was 20 ~ 50 r/min, the seed - fertilizer cylinder rotating speed was linearly related to the seeding quantity and fertilizing quantity. When the angle between the fertilizer layer control board and the vertical direction increased within 22° ~38°, the fertilizing rate was gradually increased between 1 709. 63 g/min and 2 484. 31 g/min. The DEM - CFD coupling simulation was applied to analyze the influence of auxiliary conveying airflow on the seed velocity and force inside the seed guiding tube. The results indicated that when the inclination angle between the seed guiding tube and the vertical plane was 10° ~70°, the auxiliary conveying airflow could achieve accelerated seed discharge through the seed guiding tube and avoid seed retention. The results of the bench validation test showed that when the seed - fertilizer cylinder rotating speed was 20 ~ 50 r/min, the stability variation coefficient of the total seeding quantity was not higher than 0. 92% , the consistency variation coefficient of each row of seeding quantity was not higher than 3. 64% , the seed damage rate was not higher than 0. 04% , the stability variation coefficient of the total fertilizing quantity was not higher than 1. 21% , and the consistency variation coefficient of each row of fertilizing was not higher than 4. 41% . As the seeding rapeseed was fixed, the angle between the fertilizer layer control board and the vertical direction could be adjusted to meet different fertilizing requirements. The field test results indicated that the variation coefficient for the consistency of the number of plants in each row of rapeseed was 9. 25% , and the variation coefficient for the stability of the total number of plants was 7. 16% , which met the requirements for precision seeding for rapeseed. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 24

Main heading: Oilseeds

Controlled terms: Aspect ratio? - ?Cloud seeding? - ?Cylinders (shapes)? - ?Rotating machinery? - ?Screws

Uncontrolled terms: Centralised? - ?Control boards? - ?Fertilizing device? - ?Hilly and mountainous areas? - ?Layer controls? - ?Rapeseed? - ?Seed - fertilizer cylinder? - ?Seeding - fertilizing? - ?Seeding device? - ?Variation coefficient

Classification code: 408.1 Structural Design, General? - ?443.3 Precipitation? - ?601.1 Mechanical Devices? - ?605.2 Small Tools, Unpowered? - ?821.5 Agricultural Wastes

Numerical data indexing: Angular velocity 3.34E-01rad/s to 8.35E-01rad/s, Mass flow rate 1.0521E-03kg/s, Mass flow rate 5.177E-04kg/s, Percentage 1.60E+01%, Percentage 2.10E+01%, Percentage 2.50E+01%, Percentage 4.00E+00%, Percentage 4.10E+01%, Percentage 6.40E+01%, Percentage 9.20E+01%

DOI: 10.6041/j.issn.1000-1298.2024.09.007

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

34. Estimation Model of Soybean Soil Moisture Content Based on UAV Spectral Information and Texture Features

Accession number: 20244017127959

Title of translation: 融合无人机光谱信息与纹理特征的大豆土壤含水率估测模型研究

Authors: Li, Zhijun (1); Chen, Guofu (1); Zhi, Jiawei (1); Xiang, Youzhen (1); Li, Dongmei (2); Zhang, Fucang (1); Chen, Junying (1)

Author affiliation: (1) Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Shaanxi, Yangling; 712100, China; (2) College of Landscape Architectureand Art, Northwest A&F University, Shaanxi, Yangling; 712100, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 347-357

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Timely acquisition of soil moisture content (SMC) in the root zone of field crops is crucial for achieving precision irrigation. Drone-based multispectral technology and conducted field experiments over two consecutive years (2021-2022) were used to collect SMC data at different soil depths during the soybean flowering stage, as well as corresponding multispectral images from the drone. Vegetation indices and canopy texture features, which are highly correlated with crop parameters, were established. By analyzing the correlation between vegetation indices, texture features, and SMC at various soil depths, parameters with significant correlation coefficients (P ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 47

Main heading: Drones

Controlled terms: Adaptive boosting? - ?Agricultural robots? - ?Fertilizers? - ?Soil moisture? - ?Support vector machines

Uncontrolled terms: Different soils? - ?Estimation models? - ?Gradient boosting? - ?Multi-spectral? - ?Root zone? - ?Soil depth? - ?Soil moisture content? - ?Soybean? - ?Texture features? - ?Vegetation index

Classification code: 1101.2 ? - ?1106 ? - ?1502.1.1.3 ? - ?483.1 Soils and Soil Mechanics? - ?652.1.2 Military Aircraft? - ?731.6 Robot Applications? - ?821.2 Agricultural Chemicals? - ?821.3 Agricultural Methods

Numerical data indexing: Percentage 7.00E+00%, Percentage 7.58E+02%, Size 0.00E00m to 2.00E-01m, Size 2.00E-01m to 4.00E-01m, Size 4.00E-01m to 6.00E-01m

DOI: 10.6041/j.issn.1000-1298.2024.09.030

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

35. Effect of Forage Planting on Improvement of Saline Soil under Subsurface Pipe in Agro-pastoral Intertwined Zones

Accession number: 20244017128078

Title of translation: 暗管条件下牧草种植对农牧交错区盐渍土的改土效应

Authors: Jifang, E. (1, 2); Yang, Shuqing (1); Zhang, Wanfeng (3); Zhang, Jing (2); Zheng, Yan (1); Hu, Lingling (2)

Author affiliation: (1) Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot; 010018, China; (2) Inner Mongolia Hengyuan Water Conservancy Engineering Co., Ltd., Hohhot; 010010, China; (3) Tourism College, Inner Mongolia Normal University, Hohhot; 010022, China

Corresponding author: Yang, Shuqing(nmndysq@126.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 402-410

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To explore the effects of planting salt-tolerant forage grass varieties on improving saline soil under the subsurface pipe in agro-pastoral intertwined zones, field experiments were carried out in Hongwei Experimental Base of Hetao Irrigation District in 2020 and 2021. The experiment consisted of five different treatments. It included Medicago sativa (TM treatment), Sorghum bicolor (TB treatment), Sorghum sudanense (TS treatment) and vacant land (T treatment), and the blank plot as the control (CK treatment). The results showed that the average bulk density of TM treatment was 1. 416 g/cm in 0~60 cm soil layer in two years, which was decreased by 9.4% compared with that of CK treatment (P ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Uncontrolled terms: Agro-pastoral intertwined zone? - ?Effect of soil improvement? - ?Forage planting? - ?Medicago sativa? - ?Plantings? - ?Saline soil? - ?Soil layer? - ?Soils improvement? - ?Subsurface pipe? - ?TM treatments

Numerical data indexing: Linear density 4.16E+01kg/m, Percentage 0.00E00%, Percentage 2.00E+00%, Percentage 3.00E+00%, Percentage 5.16E+01%, Percentage 6.00E+00%, Percentage 9.40E+00%, Size 0.00E00m to 6.00E-01m

DOI: 10.6041/j.issn.1000-1298.2024.09.035

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

36. Comprehensive Growth Monitoring of Winter Wheat by Integrating UAV Spectral Information and Texture Features

Accession number: 20244017127929

Title of translation: 融合无人机光谱信息与纹理特征的冬小麦综合长势监测

Authors: Cheng, Dayu (1, 2); He, Weide (1); Fu, Chunxiao (3); Zhao, Wei (1); Wang, Jiandong (4); Zhao, Anzhou (1)

Author affiliation: (1) School of Mining and Geomatics, Hebei University of Engineering, Handan; 056038, China; (2) Research Center of Water Ecological Civilization and Social Governance of Hebei Provincial, Handan; 056038, China; (3) School of Water Conservancy and Hydroelectric, Hebei University of Engineering, Handan; 056038, China; (4) Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricutural Sciences, Beijing; 100081, China

Corresponding author: Fu, Chunxiao(chunxiao999999@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 249-261

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Efficient and timely acquisition of crop growth information plays an important role in crop production management. At present, crop growth monitoring in small areas is mostly achieved through the inversion of spectral information from UAV. However, further research is needed to comprehensively consider the surface feature information of crops at different growth stages for monitoring crop growth in small areas. Taking winter wheat as the research object, comprehensive growth monitoring indicators (CGMI) was constructed based on the plant height and leaf area index (LAI) of winter wheat according to the coefficient of variation method, and a comprehensive growth monitoring method was proposed for winter wheat that combining UAV spectral information and texture features. A drone equipped with a multispectral lens was used to acquire images of winter wheat in four growth stages, and 12 vegetation indices and 8 types of texture features in each band were obtained. The Person correlation analysis method was used to screen the vegetation index and texture features that had good correlation with CGMI, and then random forest regression (RF), partial least squares regression (PLSR) and support vector regression (SVR) methods were used to construct growth monitoring models based on vegetation index and growth monitoring models based on vegetation index and texture features, respectively. Through comparison, the superior growth monitoring model was obtained, and finally the spatial distribution information of winter wheat growth in the study area was obtained. The results showed that among the three machine learning methods, the SVR growth monitoring model based on vegetation index and texture features had the highest accuracy (training set R was 0. 789, MAE was 0. 03, NRMSE was 4. 8%, RMSE was 0. 04). Compared with SVR growth monitoring model based on vegetation index, the coefficient of determination of this model was increased by 5. 1%, the average absolute error was decreased by 3. 3%, the standard root mean square error was decreased by 8. 3%, and the root mean square error was decreased by 10%. The research results showed that the method was accurate and reliable, which can provide an important reference for winter wheat growth monitoring. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 44

Main heading: Mean square error

Controlled terms: Support vector regression

Uncontrolled terms: Comprehensive growth monitoring indicator? - ?Growth monitoring? - ?Model-based OPC? - ?Monitoring indicators? - ?Monitoring models? - ?Multi-spectral? - ?Spectral information? - ?Texture features? - ?Vegetation index? - ?Winter wheat

Classification code: 1101.2 ? - ?1202.2

Numerical data indexing: Percentage 1.00E+01%, Percentage 1.00E00%, Percentage 3.00E+00%, Percentage 8.00E+00%

DOI: 10.6041/j.issn.1000-1298.2024.09.021

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

37. Evapotranspiration Prediction Model of Tea Garden Based on Temporal Convolutional Network and Transformer

Accession number: 20244117151616

Title of translation: 基于时域卷积网络与Transformer的茶园蒸散量预测模型

Authors: Zhao, Xiuyan (1); Wang, Bin (1); Du, Xiaona (2); Wang, Wuchuang (3); Ding, Zhaotang (4); Zhou, Chang’an (5); Zhang, Kaixing (5)

Author affiliation: (1) College of Information Science and Engineering, Shandong Agricultural University, Taian; 271018, China; (2) Weichai Lovol Intelligent Agricultural Technology Co. Ltd., Weifang; 261200, China; (3) Shandong Kerun Information Technology Co. Ltd., Weihai; 264200, China; (4) Tea Research Institute, Shandong Academy of Agricultural Sciences, Ji’nan; 250100, China; (5) College of Mechanical and Electronic Engineering, Shandong Agricultural University, Taian; 271018, China

Corresponding author: Zhang, Kaixing(kaixingzhang@139.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 337-346

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In tea garden water resource management, accurately assessing crop water requirements is crucial, with evapotranspiration (ET) serving as a key indicator. The challenges posed by the time series nature, instability, and non-linear coupling in tea garden data were addressed by introducing a novel evapotranspiration prediction model. Firstly, a data processing algorithm, mutual information-principal component analysis ( MIPCA ) , was employed to integrate mutual information ( MI ) and principal component analysis ( PCA) , facilitating the selection of features strongly correlated with tea garden transpiration and the extraction of principal components. Subsequently, the temporal convolutional networks (TCN) was integrated with Transformer to construct a new model. Specifically, the grey wolf optimization (GWO) algorithm was employed to optimize the hyperparameters of the TCN, followed by the utilization of the Transformer to capture global dependencies. Ultimately, the two networks were integrated to propose the hybrid model MIPCA - TCN - GWO - Transformer. The model performance was validated through ablation experiments and comparative analyses, while also examining the model’s performance across different time scales. The results showed that the model’s three evaluation indicators such as mean absolute percentage error ( MAPE ) , root mean square error ( RMSE ) and coefficient of determination (R ) were 0. 015 mm/d, 0. 312 mm/d and 0. 962, respectively, which as better than that of traditional prediction models such as long short term memory ( LSTM) . R2 at hourly scale, daily scale and monthly scale were 0. 986, 0. 978 and 0. 946, respectively, showing good adaptability and accuracy at different time scales. The MIPCA - TCN - GWO - Transformer model constructed had high prediction accuracy and can provide scientific reference for the optimal management of tea garden water resources and the formulation of irrigation systems. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Evapotranspiration

Controlled terms: Information management? - ?Network security? - ?Prediction models? - ?Resource allocation? - ?Water management

Uncontrolled terms: Convolutional networks? - ?Different time scale? - ?Gray wolves? - ?Modeling performance? - ?Mutual informations? - ?Optimisations? - ?Prediction modelling? - ?Principal-component analysis? - ?Tea gardens? - ?Time convolutional network

Classification code: 1101 ? - ?1106 ? - ?1106.6 ? - ?1502.3 ? - ?444 Water Resources? - ?903 Information Science? - ?912.2 Management

Numerical data indexing: Size 1.50E-02m, Size 3.12E-01m

DOI: 10.6041/j.issn.1000-1298.2024.09.029

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

38. Assessment of Poplar Drought Stress Level Based on 1DCNN Fusion of Multi-source Phenotypic Data

Accession number: 20244117151628

Title of translation: 基于1DCNN融合多源表型数据的杨树干旱胁迫评估方法

Authors: Zhang, Huichun (1, 2); Zhou, Ziyang (1); Bian, Liming (3, 4); Zhou, Lei (1, 2); Zou, Yiping (4, 5); Tian, Ye (4)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing; 210037, China; (2) Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing Forestry University, Nanjing; 210037, China; (3) Co-Innovation Center for Sustainable Forestry in Southern, Nanjing; 210037, China; (4) College of Forestry and Grassland, Nanjing Forestry University, Nanjing; 210037, China; (5) Jiangsu Qinghao Ornamental Horticulture Co. Ltd., Nanjing; 211225, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 286-296

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: At present, the research on drought resistance of different poplar varieties mainly focuses on using traditional measurement methods to obtain morphological structure and physiological and biochemical phenotypic parameters to analyze the drought resistance of poplars. The method of determining the drought stress level of poplars based on phenotypic parameter indicators extracted by multi-source imaging sensors is relatively rare. In order to clarify the phenotypic mechanism of poplar drought resistance, screen drought-resistant tree species and clarify the drought resistance level of poplars, taking water-loving and drought-resistant varieties of poplars of different genders as the research objects, gradient drought stress treatment at the seedling stage of poplars was conducted. The phenotypic data of poplar canopy temperature parameters and color vegetation index were obtained by thermal infrared and RGB multi-source imaging sensors, and a multi-task classification model based on 1DCNN was established to divide the two classification tasks of poplar seedling variety drought resistance level and drought stress level, so as to explore the influence of poplar gender and growth days on the response mechanism of poplar drought stress. The results showed that compared with the traditional machine learning algorithms SVM, RF and XGBoost, the proposed 1DCNN multi-task classification model achieved the best classification accuracy in the two tasks of poplar variety drought resistance classification and individual drought stress classification, with classification accuracy rates of 81.8% and 62.3% respectively, using the four features after dimension reduction of 27 groups of data variables as model variables. After introducing the sex and growth days of poplars as the input variables of the model, the classification accuracy of the drought resistance and drought stress levels of poplar seedling varieties was significantly improved, and the accuracy of the 1DCNN multi-task classification model in the two classification tasks was 93. 5% and 76. 6% , respectively, and the classification accuracy of the model was improved by 11.7 percentage points and 14. 3 percentage points, respectively. The research results showed that it was feasible to obtain multi-source phenotypic data through thermal infrared and RGB imaging sensors and establish a 1DCNN multi-task classification model to realize the evaluation of poplar drought stress level. At the same time, it was showed that the sex and growth days of poplars as model input variables can effectively improve the classification accuracy of the model, which can provide ideas and methods for screening poplar drought-resistant varieties. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 30

Main heading: Physiological models

Controlled terms: Emotional intelligence? - ?Seed? - ?Thermography (imaging)

Uncontrolled terms: Classification accuracy? - ?Drought resistance? - ?Drought stress? - ?Multi tasks? - ?Multi-source phenotypic data? - ?Multi-Sources? - ?Phenotypic data? - ?Plant phenotype? - ?Poplar? - ?Stress levels

Classification code: 101.1 ? - ?746 Imaging Techniques? - ?821.5 Agricultural Wastes? - ?903.2 Information Dissemination

Numerical data indexing: Percentage 5.00E+00%, Percentage 6.00E+00%, Percentage 6.23E+01%, Percentage 8.18E+01%

DOI: 10.6041/j.issn.1000-1298.2024.09.024

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

39. Thermal Management Method of Pump-controlled Motor System Based on Cooperation Control of Adjustable Charging and Flushing Circuit

Accession number: 20244117164930

Title of translation: 基于变补油及冲洗回路联控的泵控马达系统热管理方法

Authors: Wang, Huashuai (1, 2); Zhang, Yanbin (1, 3); Li, Geqiang (1); Cui, Bentao (4); Geng, Guanjie (5); Liu, Rongsheng (6)

Author affiliation: (1) School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang; 471003, China; (2) Henan Institute of Technology, School of Mechanical Engineering, Xinxiang; 453003, China; (3) Center of Machinery Equipment Advanced Manufacturing of Henan Province, Luoyang; 471003, China; (4) Xinxiang Aviation Industry (Group) Co.Ltd.,, Xinxiang; 453003, China; (5) Chinese Academy of Agricultural Mechanization Sciences Group Co.Ltd.,, Beijing; 100083, China; (6) Henan Institute of Technology, School of Intelligent Engineering, Xinxiang; 453003, China

Corresponding author: Zhang, Yanbin(yanbin_zh@163.com)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 481-490

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of the typical pump-controlled motor system in hydrostatic driven construction and agricultural equipment, such as the continuous power losses of the low-pressure circuit and that the loop temperature is subjected to the varying loads and tank temperature greatly, an energy-saving thermal management method was proposed based on the cooperation control of adjustable charging and flushing circuit (ACFC). Firstly, electric proportional constant-pressure variable pump and electric proportional throttle valve were introduced into the low-pressure circuit of the pump-controlled motor system to realize the adjustment of the flushing flow and the automatic adaptation of the charging flow, which provided the freedom for the loop temperature control. Secondly, based on the experimental data, the heat generation model of the pump-controlled motor system was established through the power loss method. Thirdly, a thermal management method based on feedforward+ PD feedback control algorithm and system heat generation model was introduced to control the loop temperature. Finally, the pump-controlled motor speed control strategy based on power following was introduced to carry out experimental comparison tests at different loads and different initial temperatures between typical pump-controlled motor system and the pump-controlled motor system based on ACFC. The results indicated that the established heat generation can realize the real-time estimation of the heat generation power of the pump-controlled motor system, and the estimation accuracy was within ±10%, which verified the correctness of the established system heat balance model. Furthermore, under the premise that the ACFC had certain margin of heat dissipation, the thermal management method can effectively reduce the power consumption of the low-pressure circuit by 24.7%~66.7%, while making the loop temperature control accuracy up to±0.5℃, and increasing the total efficiency by 0.9%~3.9%, which verified performance of the proposed method in terms of loop temperature control and energy saving. The thermal management method based on ACFC can provide an idea and method for the energy saving control and thermal management of the hydrostatic driven construction and agricultural equipment. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 22

Main heading: Feedback control

Controlled terms: Agricultural robots? - ?Direct digital control systems? - ?Electric final control devices? - ?Electric machine control? - ?Electric motors? - ?Energy efficiency? - ?Fertilizers? - ?Invariance? - ?Pneumatic control equipment? - ?Pumps ? - ?Speed regulators? - ?Voltage regulators

Uncontrolled terms: Adjustable charging and flushing circuit? - ?Energy savings? - ?Energy-savings? - ?Hydrostatic system? - ?Low pressures? - ?Management method? - ?Power? - ?Pressure circuits? - ?Pump controlled motor system? - ?Thermal

Classification code: 1008.6 ? - ?1009.4 ? - ?1401.3 ? - ?1502.1.1.3 ? - ?601.2 Machine Components? - ?609.2 ? - ?704.2 Electric Equipment? - ?705.3 Electric Motors? - ?731 Automatic Control Principles and Applications? - ?731.1 Control Systems? - ?731.2 Control System Applications? - ?731.6 Robot Applications? - ?732.1 Control Equipment? - ?821.2 Agricultural Chemicals? - ?821.3 Agricultural Methods

Numerical data indexing: Percentage 1.00E+01%, Percentage 2.47E+01%, Percentage 3.90E+00%, Percentage 6.67E+01%, Percentage 9.00E-01%

DOI: 10.6041/j.issn.1000-1298.2024.09.043

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

40. Detection Method of Chlorophyll Content in Canopy of Kiwifruit Orchard Based on UAV

Accession number: 20244117151650

Title of translation: 基于无人机多光谱的猕猴桃园冠层叶绿素含量检测方法

Authors: Huo, Yingqiu (1, 2); Zhao, Shichao (1); Zhao, Guoqi (1); Sun, Jianghao (1); Hu, Shaojun (1, 2)

Author affiliation: (1) College of Information Engineering, Northwest a and F University, Shaanxi, Yangling; 712100, China; (2) Key Laboratory for Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Shaanxi, Yangling; 712100, China

Corresponding author: Hu, Shaojun(hsj@hwsuaf.edu.cn)

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: 2024

Publication year: 2024

Pages: 297-307

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Digitalization and intelligence play a crucial role in facilitating the high-quality development of the kiwifruit industry. Unlike other fruit trees, kiwi trees are vine plants that require abundant mineral nutrients during their key growth period. Inadequate management can easily lead to nutrient deficiencies, which not only affect the health of the trees but also impact the yield and quality of kiwis. Therefore, real-time monitoring of tree growth health is essential. To achieve fast and large-scale monitoring of overall growth and health in kiwi orchards, the drone was used to capture multispectral images of orchards, and then Pix4Dmapper software was utilized to splice UAV multispectral images for orthophoto maps and radiation correction on canopy leaves. The segmented orthophoto images were used as samples from 420 regions. The maximum inter-class variance (Otsu) method was employed to segment canopy leaves from soil backgrounds in the sample images, enabling measurement of canopy SPAD values for constructing a multispectral dataset. Firstly, outliers within the dataset were detected by using box plot analysis and subsequently removed as abnormal samples. Next, based on data characteristics derived from multi-channel images, feature values such as change rates between adjacent channels and 23 kinds of common vegetation indices were extracted, as well as their combination, to serve as sample feature values. Then three feature screening algorithms, including CARS, LARS, and IRIV were applied to optimize these features accordingly. Eight modeling methods, partial least square regression (PLSR) , support vector regression ( SVR ) , ridge regression ( RR ) , multiple linear regression ( MLR ) , extreme gradient boosting ( XGBoost) , least absolute shrinkage and selection operator regression ( Lasso ) , random forest regression ( RFR) , and Gaussian process regression ( GPR) , were employed to construct models for identifying canopy chlorophyll content in macaque peach orchards. Finally, the performance of the 24 models constructed with different sample features was compared and analyzed. The experimental results showed that GPR model had the best performance among the models based on the change rate of adjacent channels, R2 and RMSE were 0. 770 and 3. 044, respectively. Among the models based on the combination of vegetation index and adjacent channel change rate, GPR model also had the best performance, R2 and RMSE were 0.783 and 2.957, respectively. The XGBoost model based on vegetation index was the best among all models, R2 and RMSE were 0.787 and 2.933, respectively. Consequently, the intelligent detection model utilizing UAV remote sensing enabled accurate assessment of orchard canopy chlorophyll content while facilitating analysis of orchard health status to provide decision support for subsequent intelligent orchard management. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 39

Main heading: Fruits

Controlled terms: Agricultural robots? - ?Deforestation? - ?Diagnosis? - ?Elastin? - ?Liquid sugar? - ?Multiple linear regression? - ?Orchards? - ?Photomapping? - ?Support vector regression? - ?Volatile fatty acids

Uncontrolled terms: Adjacent channels? - ?Chlorophyll contents? - ?Kiwifruit orchard? - ?Kiwifruits? - ?Machine-learning? - ?Model-based OPC? - ?Multi-spectrum? - ?Multispectral images? - ?Performance? - ?Vegetation index

Classification code: 102.1 ? - ?1101.2 ? - ?1202 ? - ?405.3 Surveying? - ?731.6 Robot Applications? - ?742.1 Photography? - ?804.1 Organic Compounds? - ?821.1 Agricultural Machinery and Equipment? - ?821.2 Agricultural Chemicals? - ?821.4 Agricultural Products? - ?821.5 Agricultural Wastes? - ?822.3 Food Products

DOI: 10.6041/j.issn.1000-1298.2024.09.025

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

41. Design and Experiment of Modular Omnidirectional Dynamic Four-point Leveling Device for Mountain Tea Plantations

Accession number: 20244017128200

Title of translation: 丘陵山区轻筒型油菜种-肥同播同施集排装置设计与试验

Authors: Jin, Hongling (1); Zhu, Haijun (1); Zhang, Xinjie (1); Wang, Shujie (1); Qin, Mingyang (1); Chen, Yu (1); Zhang, Shuo (1)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A&F University, Shaanxi, Yangling; 712100, China

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

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 9

Issue date: September 2024

Publication year: 2024

Pages: 205-215

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Focusing on the problem of poor stability of mechanical transfer in mountain tea gardens and the need for adjusting work posture, based on the principle of four-point center immovable leveling method, an omnidirectional dynamic leveling device was designed, which was mounted on the chassis and matched with various operating tools. Parameter design and mechanical analysis of key components of the leveling device were conducted, mathematical models for the forces on each leg were established, and the accuracy of the models was verified through simulation. A prototype was built and the stability of the entire vehicle during operation was analyzed. Then the transition and slope operation tests were conducted on a comprehensive performance testing platform in hilly and mountainous areas. The test results showed that in the transition test, the maximum amplitudes of the chassis pitch angle and roll angle were 17. 9° and 16. 5°, respectively, and the platform pitch angle and roll angle were 6.4° and 4. 3°, respectively. The average values of the platform pitch angle and roll angle were both less than 1.8°; under four working conditions on slopes, the average inclination of the chassis was 14. 1°, 15.2°, 15.5°, and 14. 1°, respectively. The average inclination of the platform was 1.8°, 1.6°, 1.7°, and 1.6°, respectively, and the standard deviation of the platform’s inclination was smaller than that of the chassis. It was shown that the accuracy and stability of the omnidirectional dynamic four-point leveling device met the needs of equipment transfer and slope operation in mountain tea plantations. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 24

Main heading: Leveling (machinery)

Controlled terms: Balancing? - ?Digital elevation model

Uncontrolled terms: Four-point? - ?Four-point leveling device? - ?Levelings? - ?Mountain tea plantation? - ?Omnidirectional dynamic leveling? - ?Pitch angle? - ?Roll angle? - ?Simulation? - ?Tea plantations

Classification code: 1106.2 ? - ?1106.3.1 ? - ?601 Mechanical Design? - ?607 Lubrication and Tribology

DOI: 10.6041/j.issn.1000-1298.2024.09.017

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village