Optimizing livestock productivity with computer vision-based cow estrus detection in free stall barns using various YOLOv8 models

Gunawan, Teddy Surya and Kartiwi, Mira and Saifudin, Ali and Nur, Levy Olivia and Nugroho, Bambang Setia (2024) Optimizing livestock productivity with computer vision-based cow estrus detection in free stall barns using various YOLOv8 models. In: IEEE 9th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA 2023), 17th - 18th October 2023, Kuala Lumpur, Malaysia.

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Abstract

In the domain of livestock management, the precise detection of estrus in cows is crucial for reproductive efficiency and enhanced livestock production. Traditional methods, primarily based on human observation, are labor-intensive and can be error-prone. This study leverages YOLOv8, a cutting-edge computer vision technology, for cow estrus detection. Our evaluation reveals that YOLOv8 achieved a remarkable accuracy rate, outperforming conventional methods in speed and reliability. Specifically, the model demonstrated a precision of 96%, a recall of 96.1%, and a mean average precision (mAP) of 98.35% for the 50% intersection over union (IoU) threshold. By integrating YOLOv8, we highlight the potential for substantial improvements in reproductive efficiency, labor cost savings, and increased profitability in the cattle sector. This work emphasizes the transformative impact of advanced technology in agriculture and paves the way for future innovations in livestock management.

Item Type:	Proceeding Paper (Invited Papers)
Additional Information:	External collaboration (international): - Airlangga University, Indonesia - Telkom University, Indonesia
Uncontrolled Keywords:	Livestock management, cow estrus detection, computer vision, deep learning, 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 Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	15 Jan 2024 10:38
Last Modified:	05 Feb 2024 16:20
URI:	http://irep.iium.edu.my/id/eprint/110165

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