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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Abstract. Agriculture is the extremely important and developing economic movement in all times. Automation of agricultural machines occurs by different ways. One way is through the creation of specialized technical solutions for the required technological processes, another way is the construction of automatic agricultural machines, including mobile ones. The state of modern technology allows to create autonomous machines. The agriculture robotization trends are the high precision and unmanned farming. The article considers the issues of robotization of agricultural machinery. Stages of robotization of agricultural mobile machines were analyzed. The factors affecting the autonomous movement of mobile agrorobots were shown.

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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.

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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.

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