Precision route planning method based on UAV remote sensing and genetic algorithm for weeding machine

Weeds are one of the most important agricultural hazards. The widespread spraying of herbicides not only wastes chemicals but also pollutes the environment. In this paper, a precisely route planning method for weeding machine based on UAV(Unmanned Aerial Vehicle) images was proposed. A genetic algorithm (GA) was used to optimize the operation route. For genetic algorithm, a new route encoding approach and fitness function were presented. The GA-optimized operating route saves up to 80.03% of working time compared to uniform spraying in the experiment. This method could effectively plan the operation route of spraying machines and reduce herbicide usage. This was important for both cost-saving and environment protection.