CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
ANALYSIS OF COMPUTER VISION METHODS PROMISING FOR USE IN THE AGRO-INDUSTRIAL COMPLEX
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Read | Rybakov Alexey V., Vybornov Nikolay A., Rybakov Ilya A. ANALYSIS OF COMPUTER VISION METHODS PROMISING FOR USE IN THE AGRO-INDUSTRIAL COMPLEX // Caspian journal : management and high technologies. — 2022. — №1. — pp. 128-138. |
Rybakov Alexey V. - Cand. Sci. (Physics and Mathematics), Director of the Institute of Physics and Mathematics, Astrakhan State University, rybakov_alex@mail.ru
Vybornov Nikolay A. - Cand. Sci. (Physics and Mathematics), Associate Professor, Associate Professor of the Department of Electrical Engineering, Electronics and Automation, Astrakhan State University, niko_nikolay@mail.ru
Rybakov Ilya A. - undergraduate student, Astrakhan State University, ilya_rybakov_99@mail.ru
The article analyzes the possibilities of using computer vision for agricultural tasks. Such areas of implementation as agricultural machinery management, seed sowing, seedling cultivation, crop care and harvesting, processing, transportation and storage of fruits are considered in detail. The results of the application of image processing methods obtained from video cameras installed in various positions are presented: in the cabin of agricultural machinery, above boxes with seedlings, on agricultural robots. To implement these methods, programs written in Python using the OpenCV library were used.
Key words: robotic manipulator, computer vision, agromechatronics, image recognition, agricultural robots, automated harvesting, robot control