YOLOv8-CBAM: a study of sheep head identification in Ujumqin sheep
The findings indicate that the smaller model exhibited superior performance in the facial color recognition task for Ujumqin sheep. Overall, the YOLOv8-CBAM model achieved high accuracy in the head color recognition task, providing reliable technical support for automated sheep management systems.
Authors
- Hai Long (ORCID: https://orcid.org/0000-0001-8590-1761)
- Qing‐Hua Qin (ORCID: https://orcid.org/0000-0003-0948-784X)
- Xingyu Zhou (ORCID: https://orcid.org/0000-0002-1771-8831)
- Jiale Gao (ORCID: https://orcid.org/0000-0001-5741-0076)
- Suhe Alatan
- Zhihong Liu (ORCID: https://orcid.org/0000-0002-7988-3787)
- Haijun Zhang (ORCID: https://orcid.org/0000-0003-1686-2214)
- Zhixin Wang (ORCID: https://orcid.org/0009-0000-1209-5658)
- A. Naer
Institutions
- Inner Mongolia Agricultural University (CN)
- Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences (CN)
- Ministry of Agriculture and Rural Affairs (CN)
Publication Details
- Journal
- Frontiers in Veterinary Science
- Published
- 2025-02-06
- DOI
- https://doi.org/10.3389/fvets.2025.1514212
- Citations
- 7
- Primary Topic
- Rangeland Management and Livestock Ecology
- Type
- article
- Field-Weighted Citation Impact
- 16.95
Funders
- National Natural Science Foundation of China