International Journal of Internet, Broadcasting and Communication

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Performance Analysis of Algorithms Applying YOLOv8 and OC-SORT for Livestock Behavior Analysis

  • Doyoon Jung (Department of Computer Engineering, Honam University) ;
  • Sukhun Kim (Department of Computer Engineering, Honam University) ;
  • Namho Kim (Department of Computer Engineering, Honam University)
  • Received : 2024.09.20
  • Accepted : 2024.10.02
  • Published : 2024.11.30
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Abstract

This research develops a smart livestock monitoring system leveraging artificial intelligence with YOLOv8 and OC-SORT technologies to precisely monitor and analyze cow behavior, enhancing detection and tracking capabilities in complex environments. It delves into cows' movement speed and acceleration to uncover behavior patterns and health status, focusing on estrus-related behaviors for optimal breeding strategies. The study identifies changes in activity, social interactions, and mating behaviors as crucial estrus indicators, contributing significantly to livestock management innovations. By offering methods for visual behavior analysis representation, it simplifies the interpretation of findings, advancing livestock monitoring technology. This work not only contributes to smarter livestock management by providing an AI-driven cow behavior tracking model but also opens new avenues for research and efficiency improvements in the field.

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Acknowledgement

This research was supported by "Regional Innovation Strategy (RIS)" through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(MOE)(2021RIS-002).

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