• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 3, 788 (2022)
Ai-chen WANG1、*, Bin-jie GAO1、1;, Chun-jiang ZHAO1、1; 2;, Yi-fei XU3、3; 4;, Miao-lin WANG1、1;, Shu-gang YAN1、1;, Lin LI1、1;, and Xin-hua WEI1、1; *;
Author Affiliations
  • 11. School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
  • 33. School of Software Engineering, Xi’an Jiaotong University, Xi’an 710049, China
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    DOI: 10.3964/j.issn.1000-0593(2022)03-0788-07 Cite this Article
    Ai-chen WANG, Bin-jie GAO, Chun-jiang ZHAO, Yi-fei XU, Miao-lin WANG, Shu-gang YAN, Lin LI, Xin-hua WEI. Detecting Green Plants Based on Fluorescence Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(3): 788 Copy Citation Text show less
    Different samples(a):Green plants; (b), (c): Others
    Fig. 1. Different samples
    (a):Green plants; (b), (c): Others
    Spectra of white, blue and red LEDs
    Fig. 2. Spectra of white, blue and red LEDs
    Schematic diagram of spectra collecting system
    Fig. 3. Schematic diagram of spectra collecting system
    Normalized spectra of different samples illuminated by white, blue and red LEEs
    Fig. 4. Normalized spectra of different samples illuminated by white, blue and red LEEs
    PCA scores of the first two principal components of sample spectra under illumination of white (a), blue (b) and red (c) LEDs
    Fig. 5. PCA scores of the first two principal components of sample spectra under illumination of white (a), blue (b) and red (c) LEDs
    LDA distances for green plants and others under illumination of white (a), blue (b) and red (c) LEDs
    Fig. 6. LDA distances for green plants and others under illumination of white (a), blue (b) and red (c) LEDs
    LED
    类型
    类别校正集预测集
    识别率
    /%
    拒绝率
    /%
    识别率
    /%
    拒绝率
    /%
    白色绿色植物97.3210092.86100
    非绿色植物96.4310092.86100
    蓝色绿色植物99.11100100100
    非绿色植物97.3210092.86100
    红色绿色植物99.11100100100
    非绿色植物94.6410096.42100
    Table 1. Discriminant results of green plants and others by SIMCA
    LED
    类型
    实际预测
    校正集预测集
    绿色
    植物
    非绿色
    植物
    绿色
    植物
    非绿色
    植物
    白色绿色植物1120280
    非绿色植物0112028
    蓝色绿色植物1110280
    非绿色植物1112028
    红色绿色植物1110280
    非绿色植物1112028
    Table 2. Confusion matrix of LDA models for classifying green plants and others
    LED
    类型
    最佳波段
    /nm
    精确度召回率F1-score
    校正集
    /%
    预测集
    /%
    校正集
    /%
    预测集
    /%
    校正集
    /%
    预测集
    /%
    白色731.1084.2785.8677.5070.0080.7476.71
    蓝色730.7693.8383.7876.0077.5083.9880.52
    红色731.1086.8178.4879.0077.5082.7278.48
    Table 3. Optimized single waveband and corresponding discriminant
    Ai-chen WANG, Bin-jie GAO, Chun-jiang ZHAO, Yi-fei XU, Miao-lin WANG, Shu-gang YAN, Lin LI, Xin-hua WEI. Detecting Green Plants Based on Fluorescence Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(3): 788
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