Список литературы

2518-1092

Research result. Information technologies

2518-1092

10.18413/2518-1092-2025-10-1-0-7

3749

ARTIFICIAL INTELLIGENCE AND DECISION MAKING

<strong>ALGORITHM FOR DECISION SUPPORT ON USING A MULTICOPTER TO ADJUST THE LOCATION OF GRAZING ANIMALS</strong>

Karwi

Jalal Qais Jameel

Karwi

Jalal Qais Jameel

jalalalqaisy1@gmail.com

Polshchykov

Konstantin Alexandrovich

Polshchykov

Konstantin Alexandrovich

polshchikov@bsu.edu.ru

2025

10100

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.

Internet of Thingsunmanned aerial vehiclemulticopterprecision livestock managementadjusting the location of grazing animals

Список литературы

Alanezi M.A., Shahriar M.S., Hasan M.B., Ahmed S., Sha’aban Y.A., Bouchekara H.R.E.H. Livestock Management With Unmanned Aerial Vehicles: A Review // IEEE Access. – 2022. – Vol. 10. – P. 45001–45028.

Jameel K.J.Q., Likhosherstov R.V., Polshchikov K.A. Model of Video Streams Transmission in a Flying Ad Hoc Network // Economics. Information technologies. – 2022. – № 49(2). – P. 403–415.

Polshchykov K., Shabeeb A. H. T., Lazarev S., Kiselev V. Justification for the decision on loading channels of the network of geoecological monitoring of resources of the agroindustrial complex // Periodicals of Engineering and Natural Sciences. – 2021. – Vol. 9, No. 3. – P. 781–787.

Adar S., Sternberg M., Paz-Kagan T., Henkin Z., Dovrat G., Zaady E., Argaman E. Estimation of aboveground biomass production using an unmanned aerial vehicle (UAV) and VENμS satellite imagery in Mediterranean and semiarid rangelands // Remote Sensing Applications: Society and Environment. – 2022. –

Vol. 26. – P. 100753.

Chen T., Zheng H., Chen J., Zhang Z., Huang X. Novel intelligent grazing strategy based on remote sensing, herd perception and UAVs monitoring // Computers and Electronics in Agriculture. – 2024. – Vol. 219. – P. 108807.

Konstantinov I.S., Pilipenko O. V., Polshchikov K. A., Ivashchuk O. D. The issue of communication in the process of prevention and liquidation of emergency situations at construction sites // Building and reconstruction. – 2016. – No. 1 (63). – P. 40–46.

Konstantinov I.S., Polshchykov K.O., Lazarev S.A. The Algorithm for Neuro-Fuzzy Controlling the Intensity of Retransmission in a Mobile Ad-Hoc Network // International Journal of Applied Mathematics and Statistics. – 2017. – Vol. 56, Issue No. 2. – PP. 85–90.

Farooq M.S., Sohail O.O., Abid A., Rasheed S. A Survey on the Role of IoT in Agriculture for the Implementation of Smart Livestock Environment. // IEEE Access. – 2022. – Vol. 10. – P. 9483–9505.

Yaser M.J.Y., Polshchikov K.A., Fedorov V.I. Message Delivery Model in a LowPower Sensor Network // Economics. Information technologies. – 2023. – Vol. 50(2). P. 439–447.

Casas R., Hermosa A., Marco Á., Blanco T., Zarazaga-Soria F.J. Real-Time Extensive Livestock Monitoring Using LPWAN Smart Wearable and Infrastructure // Applied Sciences. – 2021. – Vol. 11(3). – P. 1240.

Yaser M.J., Polshchykov K.A., Polshchikov I.K. Algorithm for ensuring the minimum power consumption of the end node in the LoRaWAN network // Periodicals of Engineering and Natural Sciences. – 2023. – Vol. 11, No. 4. – Р. 168–74.

Nyamuryekung'e S. Transforming ranching: Precision livestock management in the Internet of Things era // Rangelands. – 2024. – Vol. 46(1). – P. 13–22.

Rvachova N., Sokol G., Polschykov K., Davies J. Selecting the intersegment interval for TCP in telecomms networks using fuzzy inference system // 2015 Internet Technologies and Applications, ITA 2015 – Proceedings of the 6th International Conference. – Wrexham, 2015. – P. 256-260.

Soares V.H.A., Ponti M.A., Gonçalves R.A., Campello R.J.G.B. Cattle counting in the wild with geolocated aerial images in large pasture areas // Computers and Electronics in Agriculture. – 2021. – Vol. 189. –

P. 106354.

Mahdi T.N., Jameel J.Q., Polshchykov K.A., Lazarev S.A., Polshchykov I.K., Kiselev V.E. Clusters partition algorithm for a self-organizing map for detecting resource-intensive database inquiries in a geo-ecological monitoring system // Periodicals of Engineering and Natural Sciences. – 2021. – Vol. 9, No. 4. p. 1138-1145.

Aquilani C., Confessore A. Review: precision livestock farming technologies in pasture-based livestock systems // Animal. – 2022. – Vol. 16(1). – P. 100429.

Tzanidakis C., Tzamaloukas O., Simitzis P., Panagakis P. Precision Livestock Farming Applications (PLF) for Grazing Animals // Agriculture. – 2023. – Vol. 13(2). – P. 288.

Kumar V., Sharma K.V., Kedam N., Patel A., Kate T.R., Rathnayake U. A comprehensive review on smart and sustainable agriculture using IoT technologies // Smart Agricultural Technology. – 2024. – Vol. 8. –

P. 100487.

Herlin A., Brunberg E., Hultgren J., Högberg N., Rydberg A., Skarin A. Animal Welfare Implications of Digital Tools for Monitoring and Management of Cattle and Sheep on Pasture // Animals. – 2021. – Vol. 11(3). –

P. 829.

Schulthess L., Longchamp F., Vogt C., Magno M. A Lora-Based and Maintenance-Free Cattle Monitoring System for Alpine Pastures and Remote Locations // ENSsys '23: Proceedings of the 11th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems. – Istanbul, 2023. – P. 44–50.

Ojo M.O., Viola I., Baratta M., Giordano S. Practical Experiences of a Smart Livestock Location Monitoring System Leveraging GNSS, LoRaWAN and Cloud Services // Sensors. – 2022. – Vol. 22(1). – P. 273.

Confessore A., Aquilani C., Nannucci L., Fabbri M.C., Accorsi P.A., Dibari C., Argenti G., Pugliese C. Application of Virtual Fencing for the management of Limousin cows at pasture // Livestock Science. – 2022. – Vol. 263. – P. 105037.

Verdon M., Langworthy A., Rawnsley R. Virtual fencing technology to intensively graze lactating dairy cattle. II: Effects on cow welfare and behavior // Journal of Dairy Science. – 2021. – Vol. 104 (6). – P. 7084–7094.

Verdon M., Hunt I., Rawnsley R. The effectiveness of a virtual fencing technology to allocate pasture and herd cows to the milking shed // Journal of Dairy Science. – 2024. – Vol. 107(8). – P. 6161–6177.

Schillings J., Holohan C., Lively F., Arnott G., Russell T. The potential of virtual fencing technology to facilitate sustainable livestock grazing management // Animal. – 2024. – Vol. 18(8). – P. 101231.

Li X., Huang H., Savkin A.V., Zhang J. Robotic Herding of Farm Animals Using a Network of Barking Aerial Drones // Drones. – 2022. – Vol. 6(2). – P. 29.

McDonnell S., Torcivia C. Preliminary Proof of the Concept of Wild (Feral) Horses Following Light Aircraft into a Trap // Animals. – 2020. – Vol. 10(1). – P. 80.

Li, J., Ling, M., Fu, B. et al. UAV based smart grazing: a prototype of space-air-ground integrated grazing IoT networks in Qinghai-Tibet plateau // Discov Internet Things. – 2025. – Vol. 5. – P. 17.

Anzai H., Kumaishi M. Effects of continuous drone herding on behavioral response and spatial distribution of grazing cattle // Applied Animal Behaviour Science. – 2023. – Vol. 268. – P. 106089.

Cao Y., Chen T., Zhang Z., Chen J. An Intelligent Grazing Development Strategy for Unmanned Animal Husbandry in China // Drones. – 2023. – Vol. 7(9). – P. 542.

Kar P., Chowdhury S. IoT and Drone-Based Field Monitoring and Surveillance System // Artificial Intelligence Techniques in Smart Agriculture. – 2024. – P. 253–266.

Khan S., Mazhar T., Shahzad T. et al. Future of sustainable farming: exploring opportunities and overcoming barriers in drone-IoT integration // Discover Sustainability. – 2024. – Vol. 5. – P. 470.