Agricultural Machinery Automatic Navigation Path Planning Based on Shortest Path Algorithm with Turning Delay

To address the limitations of traditional navigation algorithms in terms of flexibility and efficiency for path planning in complex farmland environments, this paper proposes a Turn -Delay -Based Shortest Path Algorithm (TD -SPA). The goal is to achieve optimal path planning for agricultural machinery during field operations. This study involves a comprehensive analysis of the farmland environment, including terrain, crop distribution, obstacles, and other relevant factors. A digital map of the farmland is constructed to provide essential data for the path -planning process. The TD -SPA algorithm is designed to determine the shortest path from the starting point to the endpoint while incorporating turning delay constraints. By introducing the turning delay parameter, the algorithm accounts for the additional time and energy consumption associated with turning agricultural machinery, ensuring the practical feasibility of the planned path. In this study, the farmland environment is represented as a graph model, and a heuristic search strategy is employed to identify a suitable path within this graph. Additionally, dynamic programming techniques are utilized to optimize the search process, enhancing the algorithm's efficiency. Experimental results demonstrate that the TD -SPA algorithm outperforms traditional algorithms in terms of efficiency and path quality for farmland path planning. The TD -SPA algorithm is capable of finding the shortest path that adheres to turning delay constraints more quickly, and the planned paths exhibit superior adaptability and stability in real -world applications. This research not only introduces an innovative path -planning algorithm for agricultural automatic navigation systems but also offers a new approach and methodology that can be applied to other similar systems.