Principal component analysis of hyperspectral data for early detection of mould in cheeselets

The application of non-destructive process analytical technologies in the area of food science got a lot of attention the past years. In this work we used hyperspectral imaging to detect mould on milk agar and cheese. Principal component analysis is applied to hyperspectral data to localise and visu...

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Detalles Bibliográficos
Autores principales: Farrugia, Jessica, Griffin, Sholeem, Valdramidis, Vasilis P., Camilleri, Kenneth, Falzon, Owen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859297/
https://www.ncbi.nlm.nih.gov/pubmed/33554131
http://dx.doi.org/10.1016/j.crfs.2020.12.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859297/
https://www.ncbi.nlm.nih.gov/pubmed/33554131
http://dx.doi.org/10.1016/j.crfs.2020.12.003

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