nir tobacco analysis Near-infrared spectral quantitative with reduced moisture interference using a spectral decomposition optimization algorithm: A case study on Amadori compounds in leaves A Long Short-Term Memory Neural

A Long Short Term Memory Neural Network Based Simultaneous Quantitative Analysis of Multiple Tobacco Chemical Components by Near Infrared Hyperspectroscopy Images 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 Non destructive Prediction of Nicotine Content in Tobacco Using Hyperspectral ImageDerived Spectra and Machine Learning Journal of Biosystems Engineering Springer Nature Link 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 Full article: Variable Selection for Referenceless Multivariate Calibration: A Case Study on Nicotine Determination in Flue Cured Tobacco Powder by Near Infrared (NIR) Spectroscopy NIR and MIR spectral feature information fusion strategy for multivariate quantitative analysis of tobacco components ScienceDirect

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