A New Type of Unmanned Aerial Vehicle Visualization Application Algorithm: Pesticides are Effectively Used When Spraying

Abstract

An important research direction in the upgrade of agricultural wisdom is that unmanned aerial vehicles are used to spray pesticides on crops. However, when unmanned aerial vehicles are used for high-altitude operations, the amount of pesticides used per crop area is usually judged manually, and mistakes are prone to occur, waste is caused. In order to solve the problem of efficient use of pesticides, based on plant protection concept, machine learning, numerical filtering, topology analysis and mathematical derivation, a new type of weather map algorithm model was established. The algorithm can precisely control the square error parameters, anisotropy parameters, and reach of them is independent of each other. The weather map is generated by the algorithm to simulate the spatial density distribution of crops. Experiments show that the simulated results are similar to the actual ones, and the numerical statistical results tend to converge. Pesticides are used for targeted spraying based on the simulation results of weather maps, thereby improving the efficiency of used.