Abstract: In order to achieve rapid discrimination of different Flue-cured tobacco aroma types, visible and near-infrared spectroscopy was used to obtain the characteristic spectral information of intrinsic chemical composition of three types of flue-cured tobacco including the full, middle and clean aroma types. The full-wave band of original characteristic spectra were selected for spectral pretreatment by normalized treatment, Savitzky-Golay, multiplicative scatter correction and standard normal variate. The principal component analysis (PCA) was applied to perform the clustering analysis, and a qualitative discrimination model of the three flue-cured tobacco arama styles combined with partial least squares-discriminant analysis (PLS-DA) was built. The results showed that the calibration and validation sets of PLS-DA model were identified as having good performance with an accuracy of 100%. The results suggested that this method using visible and near-infrared spectroscopy is good for classification and identification of tobacco with different aroma types. This study provides a new method for rapid and accurate identification of different flue-cured tobacco aroma types.