• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 6, 1741 (2022)
Jiang-tao JI*, Peng-ge LI1;, Xin JIN1; 2; *;, Hao MA1; 2;, and Ming-yong LI1;
Author Affiliations
  • 1. College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
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    DOI: 10.3964/j.issn.1000-0593(2022)06-1741-08 Cite this Article
    Jiang-tao JI, Peng-ge LI, Xin JIN, Hao MA, Ming-yong LI. Study on Quantitative Detection of Tomato Seedling Robustness in Spring Seedling Transplanting Period Based on VIS-NIR Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(6): 1741 Copy Citation Text show less
    The robustness evaluation value of tomato seedlings in the spring seedling transplanting period
    Fig. 1. The robustness evaluation value of tomato seedlings in the spring seedling transplanting period
    The distribution of tomato simplified evaluation value within the evaluation value range
    Fig. 2. The distribution of tomato simplified evaluation value within the evaluation value range
    Classification of tomato seedlings in spring seedling transplanting period(a): Overall condition of tomato plug seedlings; (b): High quality seedlings; (c): Qualified seedlins; (d): Poor quality seedlings
    Fig. 3. Classification of tomato seedlings in spring seedling transplanting period
    (a): Overall condition of tomato plug seedlings; (b): High quality seedlings; (c): Qualified seedlins; (d): Poor quality seedlings
    Spectra of tomato seedlings in the spring nursery and transplant period(a): Raw spectral curve;(b): Spectral curve after denoising;(c): Spectral curve after MSC pretreatment
    Fig. 4. Spectra of tomato seedlings in the spring nursery and transplant period
    (a): Raw spectral curve;(b): Spectral curve after denoising;(c): Spectral curve after MSC pretreatment
    Key variables selection results by CARS
    Fig. 5. Key variables selection results by CARS
    The distribution of characteristic wavelengths selected by CARS in the whole band
    Fig. 6. The distribution of characteristic wavelengths selected by CARS in the whole band
    The distribution of characteristic wavelengths selected by UVE-SPA in the whole band
    Fig. 7. The distribution of characteristic wavelengths selected by UVE-SPA in the whole band
    CNN structure based on U-Net model
    Fig. 8. CNN structure based on U-Net model
    指标权重
    株高0.135
    茎粗0.128
    鲜质量0.117
    干质量0.336
    总叶绿素0.284
    Table 1. Weight coefficient of individual index of tomato seedlings in spring transplanting period
    类别聚类
    样本数
    聚类评价值
    Vs
    最终
    样本数
    最终评价值
    Vs
    最终
    占比/%
    优质苗77≥0.62388≥0.60032
    合格苗940.366~0.6231270.300~0.60046
    劣质苗105≤0.36661≤0.30022
    Table 2. Quality classification results of tomato seedlings
    统计参数秧苗评价值
    建模集预测集
    最小值0.0930.117
    最大值0.8490.814
    平均值0.4830.462
    标准偏差0.0830.109
    Table 3. Sample set division
    模型变量数建模集预测集
    RcRMSECRpRMSEP
    LS-SVM2 6040.7830.1310.5660.179
    CNN2 6040.9050.0860.8730.098
    CARS-LS-SVM580.9000.1410.7230.091
    CARS-CNN580.9540.0840.9070.064
    UVE-SPA-LS-SVM1040.9370.1300.7700.086
    UVE-SPA-CNN1040.9880.0850.9460.025
    Table 4. Comparison of model effects of different spectral variables
    Jiang-tao JI, Peng-ge LI, Xin JIN, Hao MA, Ming-yong LI. Study on Quantitative Detection of Tomato Seedling Robustness in Spring Seedling Transplanting Period Based on VIS-NIR Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(6): 1741
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