Post-Ejection Reorientation of Rice Pot Seedlings for Automated Transplanting: Mechanism and Optimization of a Cam-Driven Continuous Picking System

Precision rice transplanting requires pot seedlings to be released intact and in a repeatable orientation for coordinated conveying and planting. This study investigated post-ejection reorientation in a cam-driven continuous picking system and proposed a root-ball-leading, shoot-trailing target orientation. Based on system kinematics, seedling mass distribution, and contact conditions, the process was divided into four stages: initial ejection, ejection-induced sliding, in-cell rotation, and post-release rotation. High-speed photography resolved stages 2–4, and the observed sequence was qualitatively consistent with the theoretical analysis. A Box–Behnken design evaluated the effects of root-ball moisture content, seedling age, and picking frequency on reorientation success rate and height. Within the tested ranges, multiresponse optimization identified a practical root-ball moisture target of 53% (maintained within ±2 percentage points), the 2.5-leaf stage, and 4 s−1 as the recommended combination. At the corresponding numerical optimum, the models predicted a reorientation success rate of 93.75% and a reorientation height of 35.08 cm, while bench confirmation at the practical setting yielded 93.33% and 33.70 cm, respectively. By focusing on post-ejection orientation under controlled bench conditions, this study provides a mechanistic and design basis for integrating continuous picking with downstream conveying and planting units in precision automated transplanting.

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Publication Details

Journal
Plants
Published
2026-10-09
DOI
https://doi.org/10.3390/plants15203078
Primary Topic
Agricultural Engineering and Mechanization
Type
article
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article

Post-Ejection Reorientation of Rice Pot Seedlings for Automated Transplanting: Mechanism and Optimization of a Cam-Driven Continuous Picking System

黄火龙, Jinfeng Wu, Jinping Cai, Xiongfei Chen et al.
Plants
Agricultural Engineering and Mechanization
article

Post-Ejection Reorientation of Rice Pot Seedlings for Automated Transplanting: Mechanism and Optimization of a Cam-Driven Continuous Picking System

黄火龙, Jinfeng Wu, Jinping Cai, Xiongfei Chen, Muhua Liu, Can Li, Peng Fang, Jiajia Yu, Peng Xu
article en

Abstract

Precision rice transplanting requires pot seedlings to be released intact and in a repeatable orientation for coordinated conveying and planting. This study investigated post-ejection reorientation in a cam-driven continuous picking system and proposed a root-ball-leading, shoot-trailing target orientation. Based on system kinematics, seedling mass distribution, and contact conditions, the process was divided into four stages: initial ejection, ejection-induced sliding, in-cell rotation, and post-release rotation. High-speed photography resolved stages 2–4, and the observed sequence was qualitatively consistent with the theoretical analysis. A Box–Behnken design evaluated the effects of root-ball moisture content, seedling age, and picking frequency on reorientation success rate and height. Within the tested ranges, multiresponse optimization identified a practical root-ball moisture target of 53% (maintained within ±2 percentage points), the 2.5-leaf stage, and 4 s−1 as the recommended combination. At the corresponding numerical optimum, the models predicted a reorientation success rate of 93.75% and a reorientation height of 35.08 cm, while bench confirmation at the practical setting yielded 93.33% and 33.70 cm, respectively. By focusing on post-ejection orientation under controlled bench conditions, this study provides a mechanistic and design basis for integrating continuous picking with downstream conveying and planting units in precision automated transplanting.

PlantsVol. 15(20)
Jiangxi Agricultural University (CN)
Openalex Percentile: Top 22%
Agricultural Engineering and Mechanization
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Post-Ejection Reorientation of Rice Pot Seedlings for Automated Transplanting: Mechanism and Optimization of a Cam-Driven Continuous Picking System — 黄火龙, Jinfeng Wu, et al. · Plants (2026) | TGRS Research Map | TGRS