Spectroscopy and Spectral Analysis, Volume. 42, Issue 4, 1229(2022)

Identification of Early Lodging Resistance of Maize by Hyperspectral Imaging Technology

Tian-liang ZHANG*... Dong-xing ZHANG, Tao CUI, Li YANG*;, Chun-ji XIE, Zhao-hui DU and Xiang-jun ZHONG |Show fewer author(s)
Author Affiliations
  • Key Laboratory of Soil-Machine-Plant System Technology of Ministry of Agriculture, College of Engineering, China Agricultural University, Beijing 100083, China
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    Figures & Tables(9)
    Spectral image correction and spectral extraction method(a): Color image of leaves; (b): k-means cluster result; (c): Leaves segmentation result
    Average spectral curves of lodging-resistant varieties and lodging varieties
    Spectral characteristics selected by the SPA algorithm at various densities
    Parameter optimization effects of SPA-SVM model at various densities
    Parameter optimization effects of PCA-SVM model at various densities
    ROC curve of model prediction effect at each density
    • Table 1. The division of maize sample data sets

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      Table 1. The division of maize sample data sets

      项目5 000株·亩-17 000株·亩-19 000株·亩-1
      抗倒样本不抗倒样本总计抗倒样本不抗倒样本总计抗倒样本不抗倒样本总计
      训练集959118696961929495189
      测试集303060303060303060
      总计125121246126126252124125249
    • Table 2. Contribution rate of principal component at each density

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      Table 2. Contribution rate of principal component at each density

      主成分5 000 株·亩-17 000 株·亩-19 000 株·亩-1
      贡献率
      /%
      累计
      贡献率
      /%
      贡献率
      /%
      累计
      贡献率
      /%
      贡献率
      /%
      累计
      贡献率
      /%
      PC149.2849.2845.5945.5948.3148.31
      PC234.3083.5832.1077.6936.0684.37
      PC38.7792.3512.4290.117.5891.95
      PC43.0795.423.1693.273.4095.35
      PC51.9297.342.5295.791.7697.11
      PC61.1398.471.1596.940.8797.78
      PC70.5098.971.0998.030.6198.59
      PC80.2199.180.5698.590.4199.00
      PC90.1999.370.3998.980.2499.24
      PC100.1799.540.2599.230.1899.42
    • Table 3. The selected model parameters at each density

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      Table 3. The selected model parameters at each density

      项目5 000株·亩-17 000株·亩-19 000株·亩-1
      PCA-SVMSPA-SVMPCA-SVMSPA-SVMPCA-SVMSPA-SVM
      惩罚参数C2921721121923211
      核参数γ2-112-132-112-152-72-7
      交叉验证正确率/%79.0310083.3397.4076.1998.94
      测试集分类正确率/%78.3383.3383.3398.3371.6795
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    Tian-liang ZHANG, Dong-xing ZHANG, Tao CUI, Li YANG, Chun-ji XIE, Zhao-hui DU, Xiang-jun ZHONG. Identification of Early Lodging Resistance of Maize by Hyperspectral Imaging Technology[J]. Spectroscopy and Spectral Analysis, 2022, 42(4): 1229

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    Paper Information

    Category: Research Articles

    Received: Apr. 9, 2021

    Accepted: --

    Published Online: Jul. 25, 2023

    The Author Email: ZHANG Tian-liang (tianliangzn@163.com)

    DOI:10.3964/j.issn.1000-0593(2022)04-1229-06

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