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Design of an efficient combined multipoint picking scheme for tea buds
Lijia Xu1, Yi Xie1, Xinyuan Chen2
1College of Mechanical and Electrical Engineering, Sichuan Agriculture University, Ya'an, China.
Frontiers in Plant Science
|December 9, 2022
Summary
A new multipoint picking scheme for tea buds significantly reduces picking numbers by 31.44% and consumed time by 50.92%. This optimized approach enhances efficiency for intelligent bud-picking robots.
Area of Science:
- Agricultural Engineering
- Robotics
- Computer Science
Background:
- Tea harvesting traditionally relies on manual labor, which is labor-intensive and time-consuming.
- Developing automated solutions for efficient tea bud picking is crucial for modern agriculture.
Purpose of the Study:
- To propose and evaluate a novel combined multipoint picking scheme for tea bud harvesting.
- To optimize the picking process by reducing the number of picking operations and the overall path length.
Main Methods:
- A fixed-size picking box model was used to represent tea buds, incorporating a probability of being picked.
- Greedy algorithm and picking box coverage were employed to minimize the number of picking boxes.
- Graham scan algorithm and minimum bounding box refined picking box placement for optimal bud concentration.
- Ant colony algorithm optimized the picking path based on geometric centers of picking boxes.
Main Results:
- The multipoint picking scheme reduced average picking numbers by 31.44% compared to single-point picking.
- The shortest picking path was decreased by 11.10%.
- Average consumed time was reduced by 50.92%.
Conclusions:
- The proposed combined multipoint picking scheme offers significant improvements in efficiency for tea bud harvesting.
- This research provides a foundation for the development of intelligent bud-picking robots.
