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Optimal design of garlic clove’s orientation adjustment system based on parallel robot
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Zhengbo ZHU, Xin CAO, Ruihong ZHANG*
Journal of Intelligent Agricultural Mechanization | 2023, 4(4) : 20 - 25
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Journal of Intelligent Agricultural Mechanization | 2023, 4(4): 20-25
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Optimal design of garlic clove’s orientation adjustment system based on parallel robot
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Zhengbo ZHU, Xin CAO, Ruihong ZHANG*
Affiliations
  • School of Mechanical Engineering/Jiangsu Engineering Center for Modern Agricultural Machinery and Agronomy Technology, Yangzhou University, Yangzhou 225127, China
  • ZHU Zhengbo, Doctor, Lecturer, research interests: agricultural seeding technology and equipment. E-mail:

About Author:

ZHU Zhengbo, Doctor, Lecturer, research interests: agricultural seeding technology and equipment. E-mail:

Published: 2023-11-15 doi: 10.12398/j.issn.2096-7217.2023.04.003
Outline
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The upward seeding of garlic cloves has the characteristics of emergence early and strong, which is the common planting agronomy of garlic in China. Based on the parallel robot, a control system of garlic clove’s orientation was designed to improve the upward seeding rate, and to promote the garlic planting mechanization in China. This system mainly included four modules: image acquisition, image preprocessing, garlic clove feature extraction and instruction drive. First, when the garlic cloves were transported to the established position, the visual system received the photo trigger signal emitted by the parallel robot and collected the image immediately. Second, the ideal binary image was obtained by median filtering, binarization, and morphological processing of the image to fill holes and filter out background particles, and the area of the connected domain of the binary image was screened according to the size range of garlic species to obtain the garlic binary image of the right size. Third, the center contour of the image and the curvature of the contour were extracted and calculated, and the part with the maximum curvature was regarded as the bud of the garlic clove and this part was used as the clove orientation, while this orientation would be quantified as the angle value and sent to the robot. Finally, according to the position information, velocity vector information and orientation information of the garlic cloves, the parallel robot controlled the grasper to grasp the garlic clove, and the garlic clove was adjusted to a unified direction and put into the established position, so as to adjust the orientation of the garlic clove. The key parameters of the adjusting system were tested and the multiple regression model of the adjusted success rate was established. The results indicated that: (1) the indicators of adjusted success rate were impacted by weight of garlic clove, conveying speed and grasping period significantly. (2) the order of priority of influencing factors is grasping time, weight of garlic cloves, and conveying speed. (3) the combination of the weight of garlic seed (4.54 g), the conveying speed (0.1 m/s), and the grasping time (2.445 s) led to a relatively high adjusted success rate (97.41%). This study provided a technological guidance for the application of the intelligent garlic clove’s orientation control system, which will be helpful for solving the problem of using an embedded industrial computer to adjust garlic clove’s orientation, and promoting the garlic planting mechanization in China.

parallel robot  /  upward seeding  /  control system  /  orientation adjustment  /  visual system
朱正波, 曹昕, 张瑞宏. 基于并联机器人的蒜瓣种芽朝向调整系统的设计与优化. 智能化农业装备学报(中英文), 2023 , 4 (4) : 20 -25 . DOI: 10.12398/j.issn.2096-7217.2023.04.003
Zhengbo ZHU, Xin CAO, Ruihong ZHANG. Optimal design of garlic clove’s orientation adjustment system based on parallel robot[J]. Journal of Intelligent Agricultural Mechanization, 2023 , 4 (4) : 20 -25 . DOI: 10.12398/j.issn.2096-7217.2023.04.003
  • National Natural Science Foundation of China(52005309)
  • Jiangsu Postdoctoral Research Funding Program(2021K134B)
  • Shandong Natural Science Foundation(ZR2019QEE035)
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Year 2023 volume 4 Issue 4
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Article Info
doi: 10.12398/j.issn.2096-7217.2023.04.003
  • Receive Date:2022-05-25
  • Online Date:2026-11-05
  • Published:2023-11-15
Article Data
Affiliations
History
  • Received:2022-05-25
  • Revised:2023-09-25
Funding
National Natural Science Foundation of China(52005309)
Jiangsu Postdoctoral Research Funding Program(2021K134B)
Shandong Natural Science Foundation(ZR2019QEE035)
Affiliations
    School of Mechanical Engineering/Jiangsu Engineering Center for Modern Agricultural Machinery and Agronomy Technology, Yangzhou University, Yangzhou 225127, China

Corresponding:

* ZHANG Ruihong, Doctor, Professor, research interests: technology and equipment of planter. E-mail:
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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