首页|Institute of General and Physical Chemistry Reports Findings in Machine Learning [Preventing mislabeling of organic white button mushrooms (A garicus bisporus) combining NMR-based foodomics, statistical, and machine learni ng approach]
Institute of General and Physical Chemistry Reports Findings in Machine Learning [Preventing mislabeling of organic white button mushrooms (A garicus bisporus) combining NMR-based foodomics, statistical, and machine learni ng approach]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Belgrade, Se rbia, by NewsRx correspondents, research stated, “Organic foodsare among the mo st susceptible to fraud and mislabeling since the differentiation between organi c and conventionally grown food relies on a paper-trail-based system. This study aimed to develop a differentiationmodel that combines nuclear magnetic resonan ce (NMR), statistical approach (principal componentanalysis - PCA and partial l east square discriminant analysis - PLS-DA), and classification artificial neural network (cANN).”
BelgradeSerbiaEuropeCyborgsDiagn ostics and ScreeningEmerging TechnologiesHealth and MedicineLegal IssuesMachine LearningNuclear Magnetic Resonance
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