crossrefAI2026-05-22
Stressor-Specific Anomaly Detection System in Group-Housed Growing Pigs Through Combined Computer Vision-Machine Learning Framework: A Pilot Study
Eddiemar B. Lagua, Hong-Seok Mun, Md Sharifuzzaman, Md Kamrul Hasan, Ahsan Mehtab, Jin-Gu Kang, et al.
This study proposed a multi-class anomaly detection framework for group-housed pigs by integrating computer vision and machine learning. Nine classification algorithms were trained to identify five pig conditions—normal, heat stress, poor ventilation, infection, and recovery—usin…