nir tobacco analysis Non-destructive quantification of blend components using FT-NIR spectroscopy coupled with multivariate machine learning SciELO Brasil - Rapid Recognizing

SciELO Brasil Rapid Recognizing the Producing Area of a Tobacco Leaf Using Near Infrared Technology and a Multi Layer Extreme Learning Machine Algorithm Rapid Recognizing the Producing Area of a Tobacco Leaf Using Analysis of alkaloids and reducing sugars in processed and unprocessed tobacco leaves using a handheld near infrared spectrometer Miguel S Castillo, Juan J Acosta, Gary R Hodge, Matthew C Vann, Ramsey Fast inline tobacco classification by near infrared hyperspectral imaging and support vector machine discriminant analysis Analytical Methods (RSC Publishing) DOI:10.1039 C9AY00413K NIR and MIR spectral feature information fusion strategy for multivariate quantitative analysis of tobacco components ScienceDirect 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 Full article: Variable Selection for Referenceless Multivariate Calibration: A Case Study on Nicotine Determination in Flue Cured Tobacco Powder by Near Infrared (NIR) Spectroscopy

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