Rapid and accurate classification of Aspergillus ochraceous contamination in Robusta green coffee bean through near-infrared spectral analysis using machine learning

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dc.contributor.authorNuttapong Ruttanadech
dc.contributor.authorKittisak Phetpan
dc.contributor.authorNaruebodee Srisang
dc.contributor.authorSiriwan Srisang
dc.contributor.authorThatchapol Chungcharoen
dc.contributor.authorWarunee Limmun
dc.contributor.authorPannipa Youryon
dc.contributor.authorPornprapa Kongtragoul
dc.date.accessioned2026-05-08T19:15:17Z
dc.date.issued2022-10-18
dc.identifier.doi10.1016/j.foodcont.2022.109446
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/14964
dc.publisherFood Control
dc.subjectSpectroscopy and Chemometric Analyses
dc.subjectSpectroscopy Techniques in Biomedical and Chemical Research
dc.subjectAdvanced Chemical Sensor Technologies
dc.titleRapid and accurate classification of Aspergillus ochraceous contamination in Robusta green coffee bean through near-infrared spectral analysis using machine learning
dc.typeArticle

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