DEVELOPING A CLASSIFICATION OF AGRICULTURAL ROBOTS
Abstract
The introduction of sustainable methods of agriculture, soil and plant condition monitoring is carried out through the optimization of agricultural production management, the introduction of innovative design and technological solutions, as well as digital technologies. An important role in this process is played by agricultural machinery and automation technologies, which allow monitoring and forecasting of work, reduce the cost of finished products, improve their quality indicators, solve personnel problems and reduce environmental impact. Manufacturers of agricultural robotics offer solutions for a variety of industries, including crop and livestock farming. According to a specific agricultural task, the robot has certain design, kinematic and energy characteristics. Despite the various designs of robots, there is still no developed classification of agricultural robots, which are only divided into groups by type and application. The article presents the results of the analysis of models of agricultural robots. The analysis is reduced to features that can be used to classify agricultural robots. For this purpose, a focused interview was conducted, which made it possible to determine the most important classification features, on the basis of which it would be possible to justify the choice of a robot for a specific agricultural production, taking into account its needs. During the research, information was obtained that was the basis for the development of a classification of robots. The main characteristics suggested by the focus groups for the basis of the classification were: field of application, degree of specialization, type of drive, type of motor, control system. The authors of the article also suggested additional characteristics: type of production, mass of work, mobility, energy source, type of work, duration of work without recharging.
References
Bechar, A., Nof, S. Y., & Wachs, J. P. (2015). A review and framework of laser-based collaboration support. Annual Reviews in Control, 39, 30-45. https://doi.org/10.1016/j.arcontrol.2015.03.003
Billingsley, J., Visala, A., & Dunn, M. (2008). Robotics in agriculture and forestry. Springer Handbook of Robotics, 10, 1065-1077. https://doi.org/10.1007/978-3-540-30301-5_47
Exactitude Consultancy (2024a). Agriculture robots market overview. Retrieved May 2, 2024, from https://exactitudeconsultancy.com/reports/40784/agriculture-robots-market/
Exactitude Consultancy. (2024b). Agriculture drones and robots market overview. Retrieved May 2, 2024, from https://exactitudeconsultancy.com/reports/40911/agriculture-drones-and-robots-market/
Gil, G., Casagrande, D., Cortes, L. P., & Verschae, R. (2023). Why the low adoption of robotics in the farms? Challenges for the establishment of commercial agricultural robots. Smart Agricultural Technology, 3, 100069. https://doi.org/10.1016/j.atech.2022.100069
Li, K., Huo, Y., Liu, Y., Shi, Y., He, Z., & Cui, Y. (2022). Design of a lightweight robotic arm for kiwifruit pollination. Computers and Electronics in Agriculture, 198, 107-114. https://doi.org/10.1016/j.compag.2022.107114
Merton, R. K., Fiske, M., & Kendall, P. L. (1990). The focused interview: A manual of problems and procedures (2nd ed.). Free Press.
Nasirahmadi, A., & Hensel, O. (2022). Toward the next generation of digitalization in agriculture based on digital twin paradigm. Sensors, 22(2), 498. https://doi.org/10.3390/s22020498
Williams, H., Smith, D., Shahabi, J., & Gee, T. (2023). Modelling wine grapevines for autonomous robotic cane pruning. Biosystems Engineering, 235, 31-49. https://doi.org/10.1016/j.biosystemseng.2023.09.006
Кучмійова, Т. С., Мороз, Т. О., & Шешунова, А. В. (2023). Використання штучного інтелекту в сільському господарстві. Modern Economics, 39, 69-74. https://modecon.mnau.edu.ua
Солона, О. В. (2020). Застосування сучасних мехатронних систем та роботизованих комплексів у АПК України (Application of modern mechatronic systems and robotic complexes in the agricultural industry of Ukraine). Техніка, енергетика, транспорт АПК, 3(110), 71-76.
Стельмах, І. В., & Приймак, Б. І. (2022). Безпілотні електротрактори стають сьогоденням фермерських господарств (Unmanned electric tractors are becoming the present of farms). Сучасні проблеми електроенерготехніки та автоматики, 283-285.
