Characterising responses in group-housed pigs to Salmonella typhimurium infection through integrated computer vision–based behavioural monitoring and statistical analyses
This study highlights the potential of computer vision-based behavioural monitoring as a non-invasive, high-throughput tool for real-time health surveillance. While effective for group assessments, results emphasise the need for more advanced methods to enhance early disease detection and improve precision in pig health management.
Authors
- Eddiemar B. Lagua (ORCID: https://orcid.org/0000-0003-0344-1680)
- Keiven Mark B Ampode
- Young-Jun Kim (ORCID: https://orcid.org/0000-0003-1442-4210)
- C. J. Yang
- Hong-Seok Mun
- Md Sharifuzzaman
- Md Kamrul Hasan
Institutions
- Chonnam National University (KR)
- Gopalganj Science and Technology University (BD)
- Sylhet Agricultural University (BD)
- Sunchon National University (KR)
- Western Philippines University (PH)
Publication Details
- Journal
- Porcine Health Management
- Published
- 2026-03-17
- DOI
- https://doi.org/10.1186/s40813-026-00497-2
- Primary Topic
- Animal Behavior and Welfare Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00