A Recognition Method for Aggressive Chicken Behaviour Based on Machine Learning: A Survey

Abstract: Aggressive behavior in hens can have a significant impact on the well-being of the animals and the productivityof the birds. Identifying these behaviors early. This is essential for effective survey management. and to ensure safe living conditions for the chickens. Traditional observation methods take a lot of effort and are prone to human error. This leads to the nee for automated solutions. This research explores a method that uses machinelearning to recognize aggressive behavior in chickens. B compa various data collection techniques. Machine learning algorithms and system usage We review the latest guidelines. Discuss current challenges andidentify future directions for research in bird behavioral analysis.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-17
DOI
https://doi.org/10.5281/zenodo.15680726
Primary Topic
Microtubule and mitosis dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

A Recognition Method for Aggressive Chicken Behaviour Based on Machine Learning: A Survey

Zenodo (CERN European Organization for Nuclear Research)
Microtubule and mitosis dynamics
article

A Recognition Method for Aggressive Chicken Behaviour Based on Machine Learning: A Survey

article en

Abstract

Abstract: Aggressive behavior in hens can have a significant impact on the well-being of the animals and the productivityof the birds. Identifying these behaviors early. This is essential for effective survey management. and to ensure safe living conditions for the chickens. Traditional observation methods take a lot of effort and are prone to human error. This leads to the nee for automated solutions. This research explores a method that uses machinelearning to recognize aggressive behavior in chickens. B compa various data collection techniques. Machine learning algorithms and system usage We review the latest guidelines. Discuss current challenges andidentify future directions for research in bird behavioral analysis.

Zenodo (CERN European Organization for Nuclear Research)
Sri Manakula Vinayagar Medical College and Hospital (IN)
Openalex Percentile: Top 51%
Microtubule and mitosis dynamics
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