Measuring the Level of Aflatoxin Infection in Pistachio Nuts by Applying Machine Learning Techniques...
Measuring the Level of Aflatoxin Infection in Pistachio Nuts by Applying Machine Learning Techniques to Hyperspectral Images
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Switzerland: MDPI AG
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Language
English
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Switzerland: MDPI AG
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This paper investigates the use of machine learning techniques on hyperspectral images of pistachios to detect and classify different levels of aflatoxin contamination. Aflatoxins are toxic compounds produced by moulds, posing health risks to consumers. Current detection methods are invasive and contribute to food waste. This paper explores the fea...
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Full title
Measuring the Level of Aflatoxin Infection in Pistachio Nuts by Applying Machine Learning Techniques to Hyperspectral Images
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TN_cdi_doaj_primary_oai_doaj_org_article_28bf4a321f6d460bb512b5837b7643c5
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_28bf4a321f6d460bb512b5837b7643c5
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s25051548
