Abstract
Unmanned Aerial Vehicle (UAV) can be used to do agricultural plant protection work such as watering, sowing, pesticide spraying, which can greatly reduce manpower by creating an autonomous manufacturing system. Consequently, a reasonable scheduling method is one of the most essential component to be focused on; yet to the best of our knowledge, there are few research on practical Agricultural Plant Protection UAV scheduling. This work proposes a new optimization method to solve the Agricultural Plant Protection UAV scheduling problem in practice. During the execution of the algorithm, the tasks are put into a queue then each task is assigned to the UAV that can complete it in the shortest amount of time. This proposed method is tested on datasets generated based on a real flight demonstration in the agricultural plant protection environment. Compared with traditional optimization methods, our method can improve the efficiency compared with traditional while ensuring good performance.
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