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Precision route planning method based on UAV remote sensing and genetic algorithm for weeding machine
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DOI：10.1007/s10489-022-03965-8.png)
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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.
Keyword:
Weed managemet
Remote sensing
Route planning
GA
Herbicides
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