Discrimination model of geographical area from coconut milk by near-infrared spectroscopy: Exploration in tandem with classical chemometrics, machine learning, and deep learning

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dc.contributor.authorAgustami Sitorus
dc.contributor.authorRavipat Lapcharoensuk
dc.date.accessioned2026-05-08T19:16:20Z
dc.date.issued2024-9-3
dc.identifier.doi10.1016/j.microc.2024.111538
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/15482
dc.publisherMicrochemical Journal
dc.subjectSpectroscopy and Chemometric Analyses
dc.subjectCoconut Research and Applications
dc.subjectAdvanced Chemical Sensor Technologies
dc.titleDiscrimination model of geographical area from coconut milk by near-infrared spectroscopy: Exploration in tandem with classical chemometrics, machine learning, and deep learning
dc.typeArticle

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