• Chinese Journal of Lasers
  • Vol. 46, Issue 3, 0311003 (2019)
Xiangjun Xu1、*, Xianshuang Wang1, Angze Li1, Yage He1, Yufei Liu2, Feng He1, Wei Guo1, and Ruibin Liu1、*
Author Affiliations
  • 1 School of Physics, Beijing Institute of Technology, Beijing 100081, China
  • 2 Bao Rui Laser Technology Co., Ltd., Changzhou, Jiangsu 213000, China
  • show less
    DOI: 10.3788/CJL201946.0311003 Cite this Article Set citation alerts
    Xiangjun Xu, Xianshuang Wang, Angze Li, Yage He, Yufei Liu, Feng He, Wei Guo, Ruibin Liu. Fast Classification of Tea Varieties Based on Laser-Induced Breakdown Spectroscopy[J]. Chinese Journal of Lasers, 2019, 46(3): 0311003 Copy Citation Text show less
    Experimental diagram
    Fig. 1. Experimental diagram
    LIBS spectra of BMD tea. (a) Original spectrum; (b) spectrum after removing background
    Fig. 2. LIBS spectra of BMD tea. (a) Original spectrum; (b) spectrum after removing background
    Spectra of BMD tea after peak drift correction
    Fig. 3. Spectra of BMD tea after peak drift correction
    LIBS spectra of BMD tea. (a) Wavelength range of 200-430 nm; (b) wavelength range of 430-720 nm
    Fig. 4. LIBS spectra of BMD tea. (a) Wavelength range of 200-430 nm; (b) wavelength range of 430-720 nm
    Rate of interpretation of principal component to original data. (a) Rate of interpretation of each principal component; (b) cumulative interpretation rate of principal components
    Fig. 5. Rate of interpretation of principal component to original data. (a) Rate of interpretation of each principal component; (b) cumulative interpretation rate of principal components
    Three-dimensional scatter plot of first three principal components
    Fig. 6. Three-dimensional scatter plot of first three principal components
    VarietyNumberPredicted varietyTrue positiverate /%
    white teablack teagreen tea
    white tea100100100
    black tea10019999
    green tea10049696
    Table 1. Classification results of three kinds of tea based on SVM model
    VarietyNumberPredicted varietyTrue positiverate /%
    XHLJBLCRZGTDFLJSDGT
    XHLJ50471294
    BLC5050100
    RZGT5014998
    DFLJ5050100
    SDGT5024896
    Table 2. Classification results of five kinds of green tea based on SVM model
    VarietyNumberPredicted varietyTrue positiverate /%
    NYTYGFAssamJJMQM
    NY5050100
    TYGF5050100
    Assam5050100
    JJM5050100
    QM5050100
    Table 3. Classification results of five kinds of black tea based on SVM model
    VarietyNumberPredicted varietyTrue positiverate /%
    SMWildBLGMBMD
    SM5050100
    Wild5050100
    BL5050100
    GM50401080
    BMD5024896
    Table 4. Classification results of five kinds of white tea based on SVM model
    Xiangjun Xu, Xianshuang Wang, Angze Li, Yage He, Yufei Liu, Feng He, Wei Guo, Ruibin Liu. Fast Classification of Tea Varieties Based on Laser-Induced Breakdown Spectroscopy[J]. Chinese Journal of Lasers, 2019, 46(3): 0311003
    Download Citation