A rapid method to predict type and adulteration of coconut milk by near-infrared spectroscopy combined with machine learning and chemometric tools

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dc.contributor.authorAgustami Sitorus
dc.contributor.authorRavipat Lapcharoensuk
dc.date.accessioned2026-05-08T19:14:37Z
dc.date.issued2023-10-5
dc.identifier.doi10.1016/j.microc.2023.109461
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/14628
dc.publisherMicrochemical Journal
dc.subjectSpectroscopy and Chemometric Analyses
dc.subjectCoconut Research and Applications
dc.subjectIdentification and Quantification in Food
dc.titleA rapid method to predict type and adulteration of coconut milk by near-infrared spectroscopy combined with machine learning and chemometric tools
dc.typeArticle

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