Пока никто не оставил комментариев к этой публикации.
Вы можете быть первым.

1. 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.
2. Джамил К.Дж.К., Лихошерстов Р.В., Польщиков К.А. Модель передачи видеопотоков в летающей беспроводной самоорганизующейся сети // Экономика. Информатика. – 2022. – Т. 49. – № 2. – С. 403–415.
3. 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.
4. 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.
5. 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.
6. Константинов И.С., Пилипенко О.В., Польщиков К.А., Иващук О.Д. К вопросу обеспечения связи в процессе предупреждения и ликвидации чрезвычайных ситуаций на объектах строительства // Строительство и реконструкция. – 2016. – № 1 (63). – С. 40-46.
7. 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.
8. 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.
9. Ясир М.Д.Я., Польщиков К.А., Федоров В.И. Модель доставки сообщения в сенсорной сети с низким энергопотреблением // Экономика. Информатика. – 2023. – Т. 50, № 2. – С. 439–447.
10. 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.
11. 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.
12. Nyamuryekung'e S. Transforming ranching: Precision livestock management in the Internet of Things era // Rangelands. – 2024. – Vol. 46(1). – P. 13–22.
13. 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.
14. 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.
15. 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.
16. Aquilani C., Confessore A. Review: precision livestock farming technologies in pasture-based livestock systems // Animal. – 2022. – Vol. 16(1). – P. 100429.
17. Tzanidakis C., Tzamaloukas O., Simitzis P., Panagakis P. Precision Livestock Farming Applications (PLF) for Grazing Animals // Agriculture. – 2023. – Vol. 13(2). – P. 288.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
30. 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.
31. Kar P., Chowdhury S. IoT and Drone-Based Field Monitoring and Surveillance System // Artificial Intelligence Techniques in Smart Agriculture. – 2024. – P. 253–266.
32. 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.