Motion analysis and structural parameter optimization for nested multi-link transplanting mechanism of variable plant
Jian Kang1, Subo Tian1,2, Siyao Liu2,3
1College of Engineering, Shenyang Agricultural University, Shenyang, China.
Plos One
|December 4, 2025
Summary
Optimizing nested multi-link transplanting mechanisms ensures high-quality seedling establishment across variable plant spacings. Adjusting the power-transmission pivot (point B) maintains transplant quality, improving planting success rates.
Area of Science:
- Agricultural Engineering
- Robotics and Automation
- Mechanical Design
Background:
- Existing transplanting mechanisms struggle with consistent performance when plant spacing varies.
- High-quality seedling establishment requires precise control over transplanting motion and depth.
- Nested multi-link mechanisms offer compact designs for zero-speed transplanting.
Purpose of the Study:
- To investigate the influence of structural parameters on nested multi-link transplanting mechanisms.
- To optimize these mechanisms for consistent planting performance across different spacings.
- To provide a design framework for precision vegetable transplanters.
Main Methods:
- Kinematic modeling and MATLAB/GUI simulation of end-effector trajectories.
- Quantification of parameter effects on trajectory and tip velocity.
- Multi-objective optimization using a multi-objective genetic algorithm (MOGA).
- Validation through high-speed video analysis of a physical prototype.
Main Results:
- Adjusting the vertical position of the power-transmission pivot (point B) effectively maintains transplant quality across varied spacings.
- Achieved a 98% qualified-planting rate at 400 mm spacing, a 3.56% improvement.
- Meeting transplanting standards with low lodging (1.11%), missing rates (0.22%), and high planting depth qualification (95.11%).
Conclusions:
- MOGA-based parameter calibration ensures consistent high transplant quality under variable spacing.
- The study provides a practical design framework for precision vegetable transplanters.
- Findings advance mechanized vegetable cultivation through improved transplanting mechanisms.
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