Abstract：In the present paper, an IR/NIR spectrometry based on the pattern recognition using Mahalanobis distance method in the principal component analysis (PCA) space was established for the discrimination of plant parts of tobaccos. Effects of the type of IR/NIR spectrometers, calibration region of the spectra, model parameters and pretreatment of the spectra on the accuracy of discrimination were investigated using tobaccos cultivated in Yunan Province in 2003 and 2005 as case study. The recognition model shows the internal relationships between the information of spectra and the plant parts of tobaccos. The results indicate that both IR and NIR could be successfully used to recognize plant parts of the tobaccos, but the latter was better because it involves more sample information. It was found that the highest recognition accuracy, 94.11%, was obtained by using apparatus A with the second derivative spectra, while recognition accuracy of 88.24% and 82.35% was respectively given by apparatus B with with the first derivative SNV spectra and IR spectrometer with first derivative spectra. For the same spectrometer, the optimal calibration region and principal component number were changed with samples and the spectral pretreatment method.
Key words：Infrared;Near infrared;Plant parts of tobaccos;Pattern recognition
张鑫,郭佳,倪力军*,张立国. 基于红外与近红外光谱的烟叶部位识别[J]. 光谱学与光谱分析, 2007, 27(12): 2437-2440.
ZHANG Xin,GUO Jia,NI Li-jun*,ZHANG Li-guo. Recognition of Plant Parts of Tobaccos Based on Infrared and Near Infrared Spectra. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(12): 2437-2440.
