The article shows the results of creation of a system aimed at reducing the negative impact on the ecological situation and biological systems while eliminating weeds in beetroot production. Methods of controlling weeds using machine vision technology are examined. For machine vision algorithms a library of images has been prepared. An algorithm and technical device have been developed for cultivating the soil on the early stages of beet growth.

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In this paper, the use of electronic components for automating the care of agricultural crops is studied. A microprocessor control system has been developed, components of a robotic platform have been selected to ensure stable operation of the complex in the field. This platform combines ease of use and high performance. At the moment, there are few analogous foreign complexes with similar characteristics, therefore, the considered robotic platform is a promising development.

This study explores the influence of daylight illumination on operating of autonomous robotic weed control complex. The illumination value is taken from minimum on the order of a few lux (high overcast) to maximum exceeding one hundred twenty thousand lux (bright noon). This was done to cover the entire daylight illumination range. This experiment is not focused on operating of the algorithm using the artificial light sources since they are supposed to be easily adjusted with the proper equipment. The performance of the algorithm at various illumination levels is evaluated by the surface area of the recognized beet crops on early stages of growth.

The optimal design of the skeleton panel of the solar panels of the spacecraft was designed taking into account the increased physical and mechanical characteristics through the use of composite materials and the method of topological shape optimization.

This paper has studied the use of electronic components for automation of robotic complex of weed vegetation control. The components are selected and the interconnection scheme between them is developed for the correct operation of the system in field conditions. This selection was realized because it combines simplicity and efficiency and is a promising and actively developing industry of robotics. At present there are few foreign analogues offering ready-made solutions for automatic control of robotic systems for weed control.