Design of Intelligent Recognition System for Orchard Spraying Robot Path Based on Adaptive Genetic Algorithm

Abstract

AbstractThe problem of excessive pesticide spraying in orchards has caused a great risk of food safety. Because the traditional fueljet robot path recognition system has the problem of low path recognition accuracy, an adaptive genetic algorithm based orchard spray robot path intelligent recognition system is designed to improve the path recognition accuracy. Firstly, the hardware design of the path intelligent identification system is carried out, including the power supply module, the main control board module, the path identification module, the motor drive module and the wireless communication module. Through the division of these modules, the path intelligent identification of the orchard spray robot is realized. Then the design of the path intelligent identification system software system is adopted, and KEIL uVision4 is used as the development environment. The adaptive genetic algorithm is used to accurately identify the path and determine the path control scheme and direction adjustment scheme to improve the path recognition accuracy. Finally, the simulation experiment is compared with the traditional spray robot path recognition system. The intelligent recognition system of orchard spray robot based on adaptive genetic algorithm has higher path recognition accuracy and shorter recognition time.KeywordsAdaptive genetic algorithmOrchard spray robotIntelligent path recognition system