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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...

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Autors principals: Jessica Farrugia, Sholeem Griffin, Vasilis P. Valdramidis, Kenneth Camilleri, Owen Falzon
Format: Artigo
Idioma:Inglês
Publicat: Elsevier 2021-01-01
Col·lecció:Current Research in Food Science
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Accés en línia:http://www.sciencedirect.com/science/article/pii/S2665927121000010
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