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27 February 2014 Classification evaluation of tobaccos using LED-induced fluorescence spectroscopy
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Tobacco is one of the most important economic crops in the world, assessment of its quality has a very important business significance. A compact, low-cost, and maneuverable optical sensor system for classification evaluation of different tobaccos was described in this paper using light-emitting-diodes (LEDs)-induced fluorescence. The principal components analysis (PCA) method is used to extract the dominant features of the tobaccos for identifying the classification of tobaccos. The technique is suitable for practical identification due to the use of a straightforward data evaluation method and compact system.
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Weijia Zhong, Yongjiang Dong, Xuan Liu, Hongze Lin, Liang Mei, and Chunsheng Yan "Classification evaluation of tobaccos using LED-induced fluorescence spectroscopy", Proc. SPIE 9003, Light-Emitting Diodes: Materials, Devices, and Applications for Solid State Lighting XVIII, 90031O (27 February 2014);

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