ALGORITHM FOR DECISION SUPPORT ON USING A MULTICOPTER TO ADJUST THE LOCATION OF GRAZING ANIMALS
The article presents a study in the field of precision livestock management based on the use of unmanned aerial vehicles and the Internet of Things. The study is devoted to solving an urgent scientific and technical problem aimed at ensuring the timeliness of using a multicopter to adjust the location of grazing animals. An original classification of the location of grazing animals is proposed, taking into account their distance from the pasture boundary. To obtain the coordinates of the location of animals, it is proposed to use geo-location trackers that are attached to each individual and function as network devices. An algorithm has been developed to support decision-making on the use of a multicopter to adjust the location of grazing animals. The algorithm's performance has been tested using a computer program that implements the logic of its operation. The results obtained confirm the correctness of the proposed algorithm and allow us to conclude that it is appropriate to use it in practice.
Karwi J.Q.J., Polshchikov K.A. Algorithm for decision support on using a multicopter to adjust the location of grazing animals // Research result. Information technologies. – Т.10, №1, 2025. – P. 66-76. DOI: 10.18413/2518-1092-2025-10-1-0-7
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