World trends in the creation of robots for spraying crops

Abstract

The article is devoted to the problem of identifying global trends in the development of robotic sprayers for crop processing. The author distinguishes three groups of spraying robots depending on the area of application. The first group is characterized by the use of technical vision and computer learning technologies for recognition and selective spraying of weeds, the use of spot treatment systems with a micro dose of chemicals, the development of robots with a certain level of versatility, which makes it possible to perform other field works in addition to spraying. The second group is characterized by the installation of high-performance spraying equipment, the use of universal spraying devices to ensure the processing of plants of various heights, the use of laser sensors, gyroscopes, wheel and steering sensors to adjust the movement of the robot in real time. The installation of deployed video surveillance systems on the robot to control movement machine and the quality of the work process is also feature of this group. The third group is characterized by a high degree of automation of all work processes, the installation of a wide range of additional equipment for monitoring the current state of plants and soil, air parameters and illumination.

Multi-Agent Vision System for Supporting Autonomous Orchard Spraying

“…Using the latest data processing methods based on AI [11,26], as well as the experience of one of the authors on the work in growing fruit trees and known strategies for their protection against pests [45], we propose an intelligent system for protective and autonomous spraying in horticulture based on a multi-agent vision system. The system we propose is located in the Horticulture 4.0 classification at levels 1 and 2 and also contains elements of level 3.…”

“…Sprayers and agricultural machines are also equipped with vision systems that ensure precise spraying and targeted cultivation [4,5]. Thus, it can be noticed that the control technology of autonomous vehicles [6][7][8] is beginning to be used for practical applications on arable plantations [9][10][11]. The level of robotic autonomy is raised by introducing control systems using intelligent data processing [12,13].…”