• DocumentCode
    476070
  • Title

    The grade recognition of green tea

  • Author

    Zhang, Rong-xiang ; Wang, Wen-li ; Li, Guang ; Zhao, Xiao-hui ; Zhang, Lian-shui ; Li, Xiao-wei

  • Author_Institution
    Province Key Lab. for Optoelectron. Inf. Mater. of Heibei, Hebei Univ., Baoding
  • Volume
    3
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    1480
  • Lastpage
    1483
  • Abstract
    It is urgent to think up a quick and precise method for the identification of tea varieties and grades. The Fourier-transform infrared spectra of three grades of Xihu Longjing tea are measured, and in the spectra region of 400-4000 cm-1, which are build separately by the Savitzky-Golay smoothing and standard normal variate preprocessing method. It can be shown that the three different grades of Xihu Longjing have nearly the same characteristic peaks in conventional Fourier-transform infrared spectra. And the data analysis shows that the difference of correction coefficient in different grades is small. So only from the spectrum characteristic or correction coefficient the three grades of green tea can not be effectively recognized. The further analysis shows that the average derivation of the spectra can identify effectively and separate the different grades of tea quickly. Based on the analysis, a way of tea recognition which need not relate to the complicated component analysis of tea is given.
  • Keywords
    Fourier transforms; beverages; infrared spectroscopy; production engineering computing; spectral analysis; Fourier-transform infrared spectra; Savitzky-Golay smoothing; data analysis; green tea grade recognition; Cybernetics; Data analysis; Information science; Infrared detectors; Infrared spectra; Laboratories; Machine learning; Manufacturing; Powders; Spectroscopy; Average deviation; Correlation coefficient; Fourier-transform infrared spectroscopy; Green tea; Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620639
  • Filename
    4620639