Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

Non-destructive testing techniques have gained importance in monitoring food quality over the years. Hyperspectral imaging is one of the important non-destructive quality testing techniques which provides both spatial and spectral information. Advancement in machine learning techniques for rapid ana...

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Detalles Bibliográficos
Autores principales: Saha, Dhritiman, Manickavasagan, Annamalai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890297/
https://www.ncbi.nlm.nih.gov/pubmed/33659896
http://dx.doi.org/10.1016/j.crfs.2021.01.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890297/
https://www.ncbi.nlm.nih.gov/pubmed/33659896
http://dx.doi.org/10.1016/j.crfs.2021.01.002

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