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

    8th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE), 2022, Bulgaria, ISBN 978-166540709-0, DOI: 10.1109/EEAE53789.2022.9831351

    Full text of the publication

    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 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 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 или Web of Science

    Вид: публикация в национален форум с межд. уч., публикация в реферирано издание, индексирана в Scopus