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

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.accessioned2025-07-21T06:07:51Z
dc.date.issued2022-10-18
dc.identifier.doi10.1016/j.foodcont.2022.109446
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/11727
dc.subjectGreen coffee
dc.subjectQuadratic classifier
dc.subjectTree (set theory)
dc.subject.classificationSpectroscopy and Chemometric Analyses
dc.titleRapid and accurate classification of Aspergillus ochraceous contamination in Robusta green coffee bean through near-infrared spectral analysis using machine learning
dc.typeArticle

Files

Collections