Fast Classification of Tea Varieties Based on Laser-Induced Breakdown Spectroscopy

Xiangjun Xu; Xianshuang Wang; Angze Li; Yage He; Yufei Liu; Feng He; Wei Guo; Ruibin Liu

doi:10.3788/CJL201946.0311003

Chinese Journal of Lasers, Volume. 46, Issue 3, 0311003(2019)

Fast Classification of Tea Varieties Based on Laser-Induced Breakdown Spectroscopy

Xiangjun Xu^1、*, Xianshuang Wang¹, Angze Li¹, Yage He¹, Yufei Liu², Feng He¹, Wei Guo¹, and Ruibin Liu^1、*

Author Affiliations

¹ School of Physics, Beijing Institute of Technology, Beijing 100081, China

² Bao Rui Laser Technology Co., Ltd., Changzhou, Jiangsu 213000, China

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Figures & Tables(10)

Fig. 1. Experimental diagram

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Fig. 2. LIBS spectra of BMD tea. (a) Original spectrum; (b) spectrum after removing background

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Fig. 3. Spectra of BMD tea after peak drift correction

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Fig. 4. LIBS spectra of BMD tea. (a) Wavelength range of 200-430 nm; (b) wavelength range of 430-720 nm

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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

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Fig. 6. Three-dimensional scatter plot of first three principal components

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Table 1. Classification results of three kinds of tea based on SVM model
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Table 1. Classification results of three kinds of tea based on SVM model
Variety Number Predicted variety True positiverate /%
white tea black tea green tea
white tea 100 100 100
black tea 100 1 99 99
green tea 100 4 96 96

Table 2. Classification results of five kinds of green tea based on SVM model
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Table 2. Classification results of five kinds of green tea based on SVM model
Variety Number Predicted variety True positiverate /%
XHLJ BLC RZGT DFLJ SDGT
XHLJ 50 47 1 2 94
BLC 50 50 100
RZGT 50 1 49 98
DFLJ 50 50 100
SDGT 50 2 48 96

Table 3. Classification results of five kinds of black tea based on SVM model
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Table 3. Classification results of five kinds of black tea based on SVM model
Variety Number Predicted variety True positiverate /%
NY TYGF Assam JJM QM
NY 50 50 100
TYGF 50 50 100
Assam 50 50 100
JJM 50 50 100
QM 50 50 100

Table 4. Classification results of five kinds of white tea based on SVM model
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Table 4. Classification results of five kinds of white tea based on SVM model
Variety Number Predicted variety True positiverate /%
SM Wild BL GM BMD
SM 50 50 100
Wild 50 50 100
BL 50 50 100
GM 50 40 10 80
BMD 50 2 48 96

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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

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