The Use of Artificial Intelligence in Automated Estrous Detection

In this paper, is shown a solution aimed to detect dairy cow estrous by using self-sufficient surveillance cameras that relies on cloud computing services and 5G mobile networks, to observe mount behavior through an artificial intelligence algorithm that alerts the farmer using a smartphone app that...

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Bibliographic Details
Published in2024 IEEE International Conference on Microwaves, Communications, Antennas, Biomedical Engineering and Electronic Systems (COMCAS) pp. 1 - 4
Main Authors Landim, N. M. D., Dias, B. S., Santos, C. A. D., Lobo, S. N., Paim, T. D. P., Araujo, H. X.
Format Conference Proceeding
LanguageEnglish
Published IEEE 09.07.2024
Subjects
5G mobile communication
animal behavior
artificial intelligence
Cameras
Cloud computing
Cows
estrous detection
Microwave antennas
Software
Surveillance
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Summary:In this paper, is shown a solution aimed to detect dairy cow estrous by using self-sufficient surveillance cameras that relies on cloud computing services and 5G mobile networks, to observe mount behavior through an artificial intelligence algorithm that alerts the farmer using a smartphone app that sends images and videos of these events. It was possible to achieve these detections in various weather and light conditions, close or away from the camera with minimal intervention at farm installations and without needing an individual sensor for each cow. It was also included an integration with an existing farm software, where it was possible to see behavior and reproduction data together, allowing the farm to achieve better milk production through getting the reproduction signs automatically as early as possible.
ISSN:2150-8968
DOI:10.1109/COMCAS58210.2024.10666189