Multi-unmanned-aerial-vehicle cooperative farmland spraying method based on deep learning algorithm

Abstract

The invention provides a multi-unmanned-aerial-vehicle cooperative farmland spraying method based on a deep learning algorithm. The method comprises the steps: uniformly dividing a farmland into N small regions with the same sizes and collecting a crop image in each small region through a camera on an exploration machine; inputting the crop images into a neural network model in an intelligent controller on the exploration machine and outputting the category of the crop in each small region; classifying the small regions corresponding to the same categories into one group by the exploration machine, planning an optimal path by using a genetic algorithm according to the coordinates of all groups of small regions, and sending the optimal path to target machines; and then executing the operation corresponding to the categories by the target machines based on the optimal path, making mutual cooperation between the target machines, and returning coordinate information to the exploration machine in real time based on a communication protocol. According to the invention, the pesticide spraying is performed by using the coordinated control method of the unmanned aerial vehicle; the orderliness and efficiency are improved; and resources are saved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence control, in particular to a multi-UAV cooperative farmland spraying method based on a deep learning algorithm. Background technique [0002] In recent years, with the continuous development of national automation technology, there has been an upsurge of agricultural drones in China. Facing this upsurge, drone technology has also begun to enter the lives of ordinary people. Many people consider letting drones replace people to perform farmland spraying, so there are already many types of agricultural drone spraying methods. At this stage, UAVs are also more intelligent and can achieve richer functions, such as autonomous flight, autonomous obstacle avoidance, etc., which makes it possible to realize more excellent UAV spraying methods. [0003] At this stage, the development of agricultural intelligence in my country is still very lagging behind. Although there have been high-tech...

AI Technical Summary

Problems solved by technology

[0004] In view of the deficiencies in the above-mentioned background technology, the present invention proposes a multi-UAV cooperative farmland spraying method based on a deep learning algorithm, which solves the technical problems of low efficiency and insufficient resource utilization of the existing UAV drug spraying technology

Images