Machine learning algorithms to trace the origin of milk from infra-red spectra in sheep

In the agri-food supply chain, geographical traceability of milk is essential, quality components being strictly related to the environment and to specific farming. The aim of this study was to test different machine learning approaches for tracing the origin of milk from infra-red spectra in two ec...

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Autors principals:	Alberto Cesarani, Michele Congiu, Christian Persichilli, Federica Carta, Maria Teresa Sardina, Corrado Dimauro, Gabriele Senczuk, Fabio Pilla, Nicolò Pietro Paolo Macciotta, Salvatore Mastrangelo
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2025-12-01
Col·lecció:	Italian Journal of Animal Science
Matèries:	milk spectra traceability deep learning machine learning sarda sheep valle del belice sheep
Accés en línia:	http://dx.doi.org/10.1080/1828051X.2025.2582396
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