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Fast inline tobacco classification by near infrared hyperspectral imaging and support vector machine discriminant analysis Analytical Methods (RSC Publishing) DOI:10.1039 C9AY00413K NIRLAB: The Power of NIR Spectroscopy in Material Analysis Enhancing the robustness of a near infrared (NIR) model for determining the blending proportion of cut tobacco by accounting for variations in moisture content ScienceDirect NIR and MIR spectral feature information fusion strategy for multivariate quantitative analysis of tobacco components ScienceDirect Full article: On Line Monitoring of the Tobacco Leaf Composition during Flue Curing by Near Infrared Spectroscopy and Deep Transfer Learning Non destructive quantification of tobacco blend components using FT NIR spectroscopy coupled with multivariate machine learning ScienceDirect

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