Spectroscopy and Spectral Analysis, Volume. 41, Issue 7, 2129(2021)

Research on Tea Cephaleuros Virescens Kunze Model Based on Chlorophyll Fluorescence Spectroscopy

Yan-de LIU*, Xiao-dong LIN, Hai-gen GAO, Shun WANG, and Xue GAO
Author Affiliations
  • School of Mechatronics & Vehicle Engineering, East China Jiaotong University, National and Local Joint Engineering Research Center of Fruit Intelligent Photoelectric Detection Technology and Equipment, Nanchang 330013, China
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    Figures & Tables(10)
    Schematic diagram of chlorophyll fluorescence spectrum
    Fluorescence spectra of normal leaves, mild disease stage and severe disease stage
    The first three PCs score plots of spectra of all cultivars
    Partial least squares discrimination model(a): PLS-DA calibration model; (b): PLS-DA prediction model
    Support vector machine prediction model with different kernel functions(a): RBF-Kernel prediction model; (b): LIN-Kernel prediction model;(c): Polynomial-Kernel prediction model; (d): Sigmoid-Kernel prediction model
    Principal component contribution rate distribution
    PCA-LDA prediction model
    • Table 1. Classification standard of tea Cephaleuros virescens Kunze

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      Table 1. Classification standard of tea Cephaleuros virescens Kunze

      病情程度受害程度
      正常叶片几乎无病
      轻度病害叶片上有零星藻斑菌丝
      重度病害藻斑菌丝覆盖叶片面积50%~75%
    • Table 2. Support vector machine model results with different kernel functions

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      Table 2. Support vector machine model results with different kernel functions

      核函数总误判率/%误判个数
      正常叶片轻度病害重度病害
      RBF-Kernel4.28030
      LIN-Kernel7.14050
      Polynomial201130
      Sigmoid5.7040
    • Table 3. The results of the cross-validation model for the degree of disease established by the first 10 principal components

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      Table 3. The results of the cross-validation model for the degree of disease established by the first 10 principal components

      类别正常叶片轻度病害重度病害正确识别率/%
      组间整体
      正常叶片7000100
      轻度病害059296.7298.00
      重度病害026797.10
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    Yan-de LIU, Xiao-dong LIN, Hai-gen GAO, Shun WANG, Xue GAO. Research on Tea Cephaleuros Virescens Kunze Model Based on Chlorophyll Fluorescence Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2021, 41(7): 2129

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    Paper Information

    Category: Research Articles

    Received: Jul. 6, 2020

    Accepted: --

    Published Online: Sep. 8, 2021

    The Author Email: LIU Yan-de (jxliuyd@163.com)

    DOI:10.3964/j.issn.1000-0593(2021)07-2129-06

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