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Exploring the Applicability of Quantitative Models Based on NIR Reflectance Spectroscopy of Plant Samples Spectroscopy Online Full article: On Line Monitoring of the Tobacco Leaf Composition during Flue Curing by Near Infrared Spectroscopy and Deep Transfer Learning 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 NIRLAB: The Power of NIR Spectroscopy in Material Analysis A Long Short Term Memory Neural Network Based Simultaneous Quantitative Analysis of Multiple Tobacco Chemical Components by Near Infrared Hyperspectroscopy Images
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