Prediction of live weight of hens using non-stationary thermal imaging and deep learning algorithms
;(0.71), when using non-normalised data.5. The study demonstrated that the DenseNet121 deep learning model can effectively predict laying hen weights using only thermal imaging and it is anticipated that this will lead to numerous practical applications in the poultry industry.
Authors
- H. A. Eren (ORCID: https://orcid.org/0000-0001-6105-158X)
- S. Işık (ORCID: https://orcid.org/0000-0003-1768-7104)
- A. K. C. Tekbilek (ORCID: https://orcid.org/0009-0000-5643-8560)
- Y. Altay (ORCID: https://orcid.org/0000-0003-4049-8301)
- M. Ergin (ORCID: https://orcid.org/0000-0003-1810-6754)
Institutions
- Isparta University of Applied Sciences (TR)
- Eskişehir Osmangazi University (TR)
Publication Details
- Journal
- British Poultry Science
- Published
- 2026-05-11
- DOI
- https://doi.org/10.1080/00071668.2026.2651152
- Primary Topic
- Animal Nutrition and Physiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00