| Issue |
BIO Web Conf.
Volume 149, 2024
International Scientific and Practical Conference on Genetic Resources (Genetic Resources 2024)
|
|
|---|---|---|
| Article Number | 01017 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/bioconf/202414901017 | |
| Published online | 28 November 2024 | |
Assessing the motor activity of chickens based on artificial intelligence technology
Don State Technical University, sq. Gagarina, 1, Rostov-on-Don, 344010, Russia
* Corresponding author: a_bogun@mail.ru
The article describes an approach to automating the process of analyzing video recordings of bird behavior using artificial intelligence methods, with the aim of increasing production efficiency through the early detection of behavioral change markers in chickens. Currently, agricultural enterprises have a need for automatic assessment of the condition of livestock and poultry to identify signs of stress at an early stage. This approach will allow for minimizing losses and improving production indicators. In turn, the application of deep learning models will enhance the effectiveness of identifying animal behavior markers that may not be detected by a facility operator.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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