Development Results of a Cross-Platform Positioning System for a Robotics Feed System at a Dairy Cattle Complex

Dmitriy Yu. Pavkin, Evgeniy A. Nikitin (), Denis V. Shilin, Mikhail V. Belyakov, Ilya A. Golyshkov, Stanislav Mikhailichenko and Ekaterina Chepurina
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Dmitriy Yu. Pavkin: Federal Scientific Agroengineering Center VIM, 109428 Moscow, Russia
Evgeniy A. Nikitin: Federal Scientific Agroengineering Center VIM, 109428 Moscow, Russia
Denis V. Shilin: Federal Scientific Agroengineering Center VIM, 109428 Moscow, Russia
Mikhail V. Belyakov: Federal Scientific Agroengineering Center VIM, 109428 Moscow, Russia
Ilya A. Golyshkov: Federal Scientific Agroengineering Center VIM, 109428 Moscow, Russia
Stanislav Mikhailichenko: Federal Scientific Agroengineering Center VIM, 109428 Moscow, Russia
Ekaterina Chepurina: Department of Engineering and Computer Graphics, Federal State Budget Educational Institution of Higher Education, Russian State Agrarian University—Moscow Timiryazev Agricultural Academy (RSAU—MTAA), 127550 Moscow, Russia

Agriculture, 2023, vol. 13, issue 7, 1-16

Abstract: Practical experience demonstrates that the development of agriculture is following the path of automating and robotizing operational processes. The operation of feed pushing in the feeding alley is an integral part of the feeding process and significantly impacts dairy cattle productivity. The aim of this research is to develop an algorithm for automatic positioning and a mobile remote-control system for a wheeled robot on a dairy farm. The kinematic and dynamic motion characteristics of the wheeled robot were obtained using software that allows simulation of physical processes in an artificial environment. The mobile application was developed using Swift tools, with the preliminary visualization of interfaces and graphic design. The system uses technical vision based on RGB cameras and programmed color filters and is responsible for the automatic positioning of the feed-pusher robot. This system made it possible to eliminate the inductive sensors from the system and suspend the labor effort required for assembling the contour wire of the feed alley. By assessing the interaction between the mobile app and the feed pusher via the base station connected to the Internet and located on the farm, the efficiency and accuracy of the feedback was measured. Furthermore, remote changes in the operating regime of the robot (start date) were proven to be achievable, and the productiveness of the food supplement dispenser also became manageable.

Keywords: agro-robots; dairy cattle; digital farm; feed pusher; robots; wheeled robot for farmer (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
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