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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Bibliographic Details
Main Authors: Jessica Farrugia, Sholeem Griffin, Vasilis P. Valdramidis, Kenneth Camilleri, Owen Falzon
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Current Research in Food Science
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2665927121000010