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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...
Autores principales: | Farrugia, Jessica, Griffin, Sholeem, Valdramidis, Vasilis P., Camilleri, Kenneth, Falzon, Owen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
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 |
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