Automation of plant care processes based on machine vision technology

This paper presents the results of developments for a robotic agrotechnical complex capable of performing work in the open ground and in greenhouse conditions. Algorithmic solutions and the developed software in the development under consideration include separate blocks that implement the necessary functional options for data collection and analysis of the mineral and biological composition of the soil substrate, its humidity, electrical conductivity and temperature, for data collection and analysis of crop morbidity and vegetation progress. The software and hardware complex using a mobile self-propelled base with sufficient controls and sensors allows processing information on the targeted application of fertilizers and preparations, mechanical removal of weed flora, including in adverse weather conditions, when the introduction of drugs is not feasible, and manual weeding is economically and physically impossible.