Author:
Li Xiaojun,Wang Weibing,Liu Ganghui,Li Runze,Li Fei
Abstract
In greenhouse nurseries, one of the important tasks of the automatic transplanter is replanting missing or bad seedling holes with healthy seedlings. This requires the transplanter to spend significant time moving between the supply trays and target trays during replanting. The diversity and complexity of the transplanting routes affect transplanter efficiency. Path planning method can find a better path for the manipulator and improve the efficiency of transplantation. The A* algorithm (A*), which is one of the optimal path search algorithms, is often used in practical applications of path planning. In this paper, the heuristic function of the A* is optimized by the ant colony algorithm (ACA), and an improved A* algorithm (Imp-A*) is obtained. Simulation tests and transplanting trials of Imp-A*, A*, ACA, Dijkstra (DA), and common sequence method (CSM) were carried out using 32-, 50-, 72-, and 128-hole plug trays. The results show that Imp-A* inherits the advantages of A* and ACA in terms of path planning length and computation time. Compared to A*, ACA, DA, and CSM, the transplanting time for Imp-A* was reduced by 2.4%, 12.84%, 11.63%, and 14.27%, respectively. In just six trays of transplanting tasks, Imp-A* saves 60.91 s compared to CSM, with an average time saving of 10.15 s per tray. The combination optimization algorithm has similar application prospects in agriculture.
Funder
National Natural Science Foundation of China
Subject
Plant Science,Agronomy and Crop Science,Food Science
Reference28 articles.
1. Dimensional synthesis and kinematics simulation of a high-speed plug seedling transplanting robot
2. Current situation and prospect of transplanter;Yu;Trans. Chin. Soc. Agric. Mach.,2014
3. Experiment on transplanting performance of automatic vegetable pot seedling transplanter for dry land;Wang;Trans. Chin. Soc. Agric. Eng.,2018
4. Early sowing increases grain yield of machine-transplanted late-season rice under single-seed sowing
5. Optimization of Seedling Transplanting Path Based on Genetic Algorithm;Tong;Trans. Chin. Soc. Agric. Mach.,2013
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