Semisupervised Deep Learning for the Detection of Foreign Materials on Poultry Meat with Near-Infrared Hyperspectral Imaging

A novel semisupervised hyperspectral imaging technique was developed to detect foreign materials (FMs) on raw poultry meat. Combining hyperspectral imaging and deep learning has shown promise in identifying food safety and quality attributes. However, the challenge lies in acquiring a large amount o...

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Detalles Bibliográficos
Autores principales: Campos, Rodrigo Louzada, Yoon, Seung-Chul, Chung, Soo, Bhandarkar, Suchendra M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459470/
https://www.ncbi.nlm.nih.gov/pubmed/37631551
http://dx.doi.org/10.3390/s23167014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459470/
https://www.ncbi.nlm.nih.gov/pubmed/37631551
http://dx.doi.org/10.3390/s23167014

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