Lameness detection in dairy cows from overhead view: high-precision keypoint localization and multi-feature fusion classification
These findings indicate that overhead RGB-D imaging, combined with precise keypoint detection and feature fusion, provides a reliable strategy for accurate lameness detection in dairy cows. The proposed method offers valuable theoretical and technical support for health monitoring and intelligent management in modern dairy farming.
Authors
- Weijun Duan (ORCID: https://orcid.org/0009-0001-4554-5405)
- Fang Wang (ORCID: https://orcid.org/0009-0006-4572-8283)
- Honghui Li (ORCID: https://orcid.org/0009-0003-3436-7150)
- Na Liu (ORCID: https://orcid.org/0000-0001-8863-9631)
- Xueliang Fu (ORCID: https://orcid.org/0009-0000-1882-409X)
Institutions
- Inner Mongolia Agricultural University (CN)
- Beijing Institute of Big Data Research (CN)
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences (CN)
- National Agricultural Research and Innovation Centre (HU)
Publication Details
- Journal
- Frontiers in Veterinary Science
- Published
- 2025-09-09
- DOI
- https://doi.org/10.3389/fvets.2025.1675181
- Citations
- 1
- Primary Topic
- Animal Behavior and Welfare Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.35
Funders
- Natural Science Foundation of Inner Mongolia