Study on the Method and Mechanism of Seedling Picking for Pepper ( Capsicum annuum L.) Plug Seedlings
Maile Zhou (),
Hao Sun,
Xin Xu,
Jiajia Yang,
Guibin Wang,
Zhaoxiang Wei,
Tingbo Xu and
Jianjun Yin
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Maile Zhou: School of Agricultural Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
Hao Sun: School of Agricultural Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
Xin Xu: School of Agricultural Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
Jiajia Yang: School of Agricultural Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
Guibin Wang: School of Agricultural Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
Zhaoxiang Wei: School of Agricultural Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
Tingbo Xu: School of Agricultural Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
Jianjun Yin: School of Agricultural Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
Agriculture, 2023, vol. 14, issue 1, 1-21
Abstract:
To better meet the requirements of mechanized transplanting of pepper plug seedlings, this study explores the seedling picking mechanism of a fully automatic pepper transplanting machine. It introduces a novel “eagle beak” type trajectory for seedling picking and designs a probe-type mechanism for pepper plug seedling retrieval. We establish a kinematic theoretical model and delineate the composition and operational principles of this probe-type mechanism. Additionally, we develop an auxiliary optimization software tailored based on Visual Basic 6.0 visual programming software for this mechanism. It employs a blend of manual fine-tuning and a “parameter guidance” optimization algorithm, enabling the determination of 11 optimal target parameters. Our comparative analysis between the theoretical model, optimization software, and high-speed camera experiments reveals a strong correlation in the motion trajectories, and the maximum error of the pose angle is 1.2°. To validate the mechanism’s design, we conducted a seedling retrieval experiment. In this test, the success rates of the seedling harvesting mechanism at speeds of 30, 40, and 50 r/min were 96.4%, 94.3%, and 91.4%, respectively, thus demonstrating its practical feasibility.
Keywords: transplanting machine; seedling picking mechanism; pepper plug seedlings; non-circular gear; trajectory and attitude (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:14:y:2023:i:1:p:11-:d:1304747
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