Detecting ear lesions in slaughtered pigs through open-source convolutional neural networks
Open-source convolutional neural networks can achieve good performances, especially when the task is strictly defined and rather easy. Valuable experiences are being gathered about the routine application of artificial intelligence-powered tools in pig abattoirs. We consider that such tools will likely enable the systematic collection of data, addressing the distinct needs of stakeholders in a cost-effective manner.
Authors
- Cherilyn Cecchini
- Alfonso Rosamilia (ORCID: https://orcid.org/0000-0003-1042-9268)
- Alberto Olivastri
- Chiara Guarnieri (ORCID: https://orcid.org/0000-0002-7033-0596)
- Giuseppe Marruchella (ORCID: https://orcid.org/0000-0003-3176-3847)
- Anastasia Romano
- Matteo D’Angelo (ORCID: https://orcid.org/0009-0000-1180-0183)
- Domenico Sciota
Institutions
- University of Teramo (IT)
- Azienda Unita' Sanitaria Locale Di Modena (IT)
- Regional Health (US)
Publication Details
- Journal
- Porcine Health Management
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1186/s40813-025-00442-9
- Primary Topic
- Animal Behavior and Welfare Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission