Spectroscopy and Spectral Analysis, Volume. 42, Issue 6, 1716(2022)

Characteristic Extraction Method and Discriminant Model of Ear Rot of Maize Seed Base on NIR Spectra

Fan-jia MENG1、*, Shi LUO1、1;, Yue-feng WU1、1;, Hong SUN1、1;, Fei LIU2、2;, Min-zan LI1、1; *;, Wei HUANG3、3;, and Mu LI3、3;
Author Affiliations
  • 11. Key Laboratory of Modern Precision Agriculture System Integration Research, China Agricultural University, Beijing 100083, China
  • 22. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
  • 33. Maize Research Institute, Jilin Academy of Agricultural Sciences, Changchun 130033, China
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    Figures & Tables(8)
    Test samples
    Original spectra (a) and preprocessed by MSC (b)
    Near infrared spectra of maize seed in 4 optimal wavelength ranges
    Correlation coefficient from NIR full-band spectral data
    SPA feature extraction
    CARS feature extraction
    • Table 1. Data set partitioning results

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      Table 1. Data set partitioning results

      训练集测试集
      正常玉米种子10644
      染病玉米种子6630
    • Table 2. Comparison of discriminant models

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      Table 2. Comparison of discriminant models

      特征波长
      提取区间
      判别模型特征
      波长数
      训练集准确
      率/%
      测试集准确
      率/%
      CA-SVM492.4493.24
      优选区间SPA-SVM591.8694.59
      CARS-SVM1090.6993.24
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    Fan-jia MENG, Shi LUO, Yue-feng WU, Hong SUN, Fei LIU, Min-zan LI, Wei HUANG, Mu LI. Characteristic Extraction Method and Discriminant Model of Ear Rot of Maize Seed Base on NIR Spectra[J]. Spectroscopy and Spectral Analysis, 2022, 42(6): 1716

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    Paper Information

    Category: Research Articles

    Received: May. 8, 2021

    Accepted: --

    Published Online: Nov. 14, 2022

    The Author Email: Fan-jia MENG (mengfanjia@126.com)

    DOI:10.3964/j.issn.1000-0593(2022)06-1716-05

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