For the development of the agricultural industry, the urgent task of designing robots capable of efficiently harvesting crops is being set. To do this, it is necessary to ensure the high quality of the algorithm of the computer vision system for determining the boundaries of fruits and the degree of their ripeness. Differences in weather conditions and illumination of a fruit tree have a significant impact on the operation of such an algorithm. It is shown that due to the introduction of neural networks into machine vision systems, the speed of fruit detection has significantly increased. The development of robots for harvesting fruits will allow replacing heavy physical labor of a person, as well as reducing the percentage of crop shortage.

Рассмотрен вопрос о необходимости создания в России роботов для сельскохозяйственных предприятий. Ключевые слова: сельскохозяйственный робот, агрегатно модуль ная система, информационно измерительная система.

No abstract

Recently, robotics has been actively introduced into the agricultural industry. Many different field works related to sowing, processing and harvesting are efficiently carried out by various robotic systems. However, the need for frequent movement between fields, increased productivity and power of equipment, the use of additional tools to perform various works leads to an increase in the mass of the robot itself. The sealing effect of agricultural robot running systems has long been considered a serious problem. The proposed method of adaptive control of tyre pressure allows to reduce negative impact of agricultural robot on soil without deterioration of its dynamic and economic parameters.