Monitoring cow behavior based on lying, standing, eating, and ruminating recognition using YOLOv8

Saifudin, Ali and Madyawati, Sri Pantja and Yuadi, Imam and Rimayanti, Rimayanti and Mustofa, Imam and Rulaningtyas, Riries and Gunawan, Teddy Surya and Besari, Adnan Rahmat Anom (2024) Monitoring cow behavior based on lying, standing, eating, and ruminating recognition using YOLOv8. Turkish Journal Veterinary and Animal Sciences, 48 (5). pp. 190-17. ISSN 1300-0128 E-ISSN 1303-6181

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Abstract

Cow behavior is a crucial indicator for monitoring health, reproductive status, and welfare in livestock management. However, methods that rely on wearable devices often face significant challenges, including high costs, maintenance difficulties, and potential impacts on animal welfare. To address these limitations, this study explored the potential of using YOLOv8, a cutting-edge computer vision model, for non-invasive monitoring of cow behavior. The research methodology involved four key steps: data collection, preliminary data processing, model training, and validation. The findings revealed that YOLOv8 is capable of accurately detecting and localizing key cow behaviors—lying, standing, eating, and ruminating—achieving a mean average precision (mAP) of 0.778 at a 0.5 intersection over union (IoU) threshold. Despite the promising results, the model’s performance is notably affected by occlusion, which remains a primary challenge. Nevertheless, the outcomes indicate that YOLOv8 is a viable tool for recognizing cow behavior, offering a significant step forward in precision livestock farming and addressing the growing need for efficient and welfare-oriented livestock management practices.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Cow behavior, lying, standing, eating, ruminating, YOLOv8
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	15 Nov 2024 07:54
Last Modified:	15 Nov 2024 07:54
URI:	http://irep.iium.edu.my/id/eprint/115849

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