Unmanned aerial vehicle-based pesticide spray control method

Abstract

The present invention discloses an unmanned aerial vehicle-based pesticide spray control method. According to the method, the boundaries of farmland areas are set to be positioning points; a target unmanned aerial vehicle obtains the position information of a starting point, the position information of a target unmanned aerial vehicle base station closest to the target unmanned aerial vehicle and the position information of each positioning point in the pesticide spray areas; and the target unmanned aerial vehicle flies to the target unmanned aerial vehicle base station and the positioning points and performs pesticide spray operation when flying over all the positioning points. According to the method, the unmanned aerial vehicle does not calculate an entire navigation path at one time, but splits the entire navigation path into a plurality of navigation paths with the unmanned aerial vehicle base station adopted as a midpoint, and therefore, the calculation quantity of each calculation operation can be reduced; and the unmanned aerial vehicle can update the navigation route at any time according to traffic conditions, and therefore, flight positioning error can be decreased, the unmanned aerial vehicle can arrive at a destination more accurately, and the accuracy of pesticide application can be improved.

Description

technical field [0001] The invention relates to the application field of drones, in particular to a spraying control method based on drones. Background technique [0002] Despite the continuous development of drone technology, the application of drones in all walks of life is becoming more and more frequent. [0003] In order to enable UAVs to fly more intelligently and reduce the burden on operators, some UAV navigation methods are provided in the prior art. The main idea is to obtain various terrain information according to the existing electronic map data , and then determine a complete navigation path according to the starting point and end point, and set the UAV to fly according to the navigation path. [0004] However, in the solutions of the prior art, if the distance between the starting point and the end point is long, it takes a long time to calculate the navigation path. When there is a temporary path adjustment, the entire navigation path needs to be recalcula...

AI Technical Summary

Problems solved by technology

[0004] However, in the solutions of the prior art, if the distance between the starting point and the end point is long, it takes a long time to calculate the navigation path. When there is a temporary path adjustment, the entire navigation path needs to be recalculated, which will take up massive computing resources

[0005] The same is true for using unmanned aerial vehicles to spray pesticides in the prior art. The control system controls the unmanned aerial vehicles to fly along the predetermined route for pesticide application. Injury, and uneven spraying will also lead to the failure of spraying to achieve the desired effect

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