Intelligent Spraying System of Autonomous Mobile Agricultural Robot

Abstract

For pest and weed control, most agrochemicals are applied evenly, even though their distribution is usually uneven. The result of uniform spraying is the loss of agrochemicals, which leads to increased costs, the risk of damage to crops, pollution of the environment and products. Applying herbicides only where weeds are found can reduce costs, the risk of crop damage and excess pesticide residue, and potentially reduce environmental impact. In order to find weeds in real time and provide spot spraying, the sprayer was designed and developed using an intelligent system based on multi-agent neurocognitive architectures. The paper presents the design of the spraying system for an autonomous mobile robot for agricultural purposes. A block diagram of a plant spraying system for an autonomous robot and an algorithm for the operation of the autonomous robot control system are presented. The developed scheme of the spraying system will provide spot spraying of several plants simultaneously with the possibility of regulating the height of the nozzles and the flow density of the active substance. Further work will be to test the presented algorithm in field conditions for accurate weed control, in particular, in the process of combating cotton bollworm on corn crops.