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March 14, 2026Scientific Reports0 citationsOpen Access

Trajectory matrix-guided optimal design of non-circular gear train seedling throwing mechanism for rice pot seedlings

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MZMaile ZhouGWGuibin WangTXTingbo Xu

Key Points

  • This research aims to create a mechanized system for rice seedling transplanting that replicates manual techniques.
  • Developed a non-circular gear mechanism for seedling transport and placement.
  • Divided the transplanting process into stages: pickup, transport, and placement.
  • Utilized a trajectory matrix to represent the end-effector's movements.
  • Constructed an objective function to optimize the mechanism solution.
  • Created a test bench for validation with high-speed camera analysis.
  • Achieved an optimal design for the transplanting mechanism that mimics manual techniques.
  • The mechanism meets operational requirements for efficient rice seedling transplanting.
  • High-speed camera analysis confirmed that the mechanized trajectory aligns with ideal transplanting paths.

Abstract

Rice transplanting by hand offers advantages such as minimal plant injury and a short recovery period. The key to mechanizing this process lies in replicating the ideal final trajectory of hand-transplanting through mechanical equipment. Based on the motion characteristics of manual transplanting, this study divides the transplanting process into three stages: seedling pickup, seedling transport, and seedling placement. Using the trajectory and posture of the human hand as a reference, an ideal mechanized transplanting trajectory was planned. Manual transplanting was simplified into a 2R open-chain mechanism configuration. A non-circular gear mechanism was employed to constrain the 2R open-chain mechanism to two degrees of freedom, proposing a non-circular gear transplanting mechanism design. Based on normalization principles, the ideal transplanting trajectory and the training trajectory corresponding to the feasible solution domain were normalized and feature-coded. The end-effector trajectory was then represented using a trajectory matrix. By constructing an objective function, a globally optimal mechanism solution was obtained through optimization across the entire solution domain. A test bench for the transplanting machine was developed. High-speed camera analysis of the transplanting mechanism’s working trajectory demonstrated that the optimal mechanism solution reproduces the ideal mechanized transplanting trajectory, meeting the operational requirements for mechanized transplanting.

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Cite This Study

Zhou et al. (2026) studied this question.

synapsesocial.com/papers/69b4ba1818185d8a39802973https://doi.org/10.1038/s41598-026-43135-1
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