| Autors: Saliev, D. N., Dimitrov, K. L., Mladenov, G. D., Valkovski, T. I. Title: Study of the cattle population with the help of remote digital photography and videography Keywords: component, formatting, style, styling, insert Abstract: This article examines the possibility of recognizing the individual biological units of a specific cattle population, determining their number and physical condition from digital images, using software solutions and systems on a particular pasture. References Issue
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Цитирания (Citation/s):
1. H. I. Hristov, T. G. Penev, L. B. Laskov, B. T. Ganev and V. T. Galabov, "Monitoring of living conditions in cow farm through a multisensory system," 2023 XXXII International Scientific Conference Electronics (ET), Sozopol, Bulgaria, 2023, pp. 1-4, doi: 10.1109/ET59121.2023.10279059. - 2023 - в издания, индексирани в Scopus и/или Web of Science
2. V. Hristov, I. Damyanov and I. Chekurov, "Robot to collect cattle droppings from pastures - concept," 2024 9th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE), Ruse, Bulgaria, 2024, pp. 1-5, doi: 10.1109/EEAE60309.2024.10600560. - 2024 - в издания, индексирани в Scopus и/или Web of Science
3. Dadallage, K.M.; Amogi, B.R.; Khot, L.R.; Leal Yepes, F.A. Mask R-CNN and Centroid Tracking Algorithm to Process UAV Based Thermal-RGB Video for Drylot Cattle Heat Stress Monitoring. Drones 2024, 8, 491. https://doi.org/10.3390/drones8090491 - 2024 - в издания, индексирани в Scopus и/или Web of Science
4. Brendon C. Besler, Pedram Mojabi, Zahra Lasemiimeni, James E. Murphy, Zefang Wang, Ryan Baker, Jennifer M. Pearson, Elise C. Fear, Scoping review of precision technologies for cattle monitoring, Smart Agricultural Technology, Volume 9, 2024, 100596, ISSN 2772-3755, https://doi.org/10.1016/j.atech.2024.100596. - 2024 - в издания, индексирани в Scopus и/или Web of Science
Вид: публикация в национален форум с межд. уч., публикация в реферирано издание, индексирана в Scopus
