Aflatoxin contamination level estimation in food using reflectance multispectral imaging based system

Aflatoxin contamination level estimation in food using reflectance multispectral imaging based system

This study presents a non-invasive, non-destructive, and rapid method of classifying and estimating aflatoxin levels in food samples using a multispectral imaging. A cost effective, mass deployable in-house built multispectral imaging system, suitable for onsite testing and operating in range from 3...

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Bibliographic Details
Main Authors: H.M.P.S. Madushan, H.L.P. Malshan, K.K. Abewickrama, H.M.V.R. Herath, Roshan Godaliyadda, M.P.B. Ekanayake, A.D.S.N.P. Athukorala, M.D.H.M. Kumari, Darsha Udayanga
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Agriculture and Food Research
Subjects:
Food safety
Food quality
Multispectral imaging
Aflatoxin contamination
Machine learning
Food supply chain
Online Access:http://www.sciencedirect.com/science/article/pii/S2666154324004381
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