• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 9, 2913 (2022)
Xi WANG1;, Gui-fen CHEN1; 2; *;, Li-ying CAO1;, and Li MA1;
Author Affiliations
  • 1. College of Information Technology, Jilin Agricultural University, Changchun 130118, China
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    DOI: 10.3964/j.issn.1000-0593(2022)09-2913-06 Cite this Article
    Xi WANG, Gui-fen CHEN, Li-ying CAO, Li MA. Study on Maize Leaf Nitrogen Inversion Model Based on Equivalent Water Thickness Gradient[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2913 Copy Citation Text show less
    EWT distribution curves of parent sets
    Fig. 1. EWT distribution curves of parent sets
    Inversion accuracy distribution curves with variable window widths
    Fig. 2. Inversion accuracy distribution curves with variable window widths
    Frequency distribution curves of contribution value
    Fig. 3. Frequency distribution curves of contribution value
    指标时间地点类别数量基因类型数频率/nm设备型号
    叶绿素/氮/磷/钾2018林肯温室创新中心温室144144350~2 500FieldSpec4
    叶鲜重/干重/叶面积
    (抽雄期)
    2018林肯大学哈夫洛克研究农场大田高氮283262
    2019林肯大学哈夫洛克研究农场大田高氮249223
    2018林肯大学哈夫洛克研究农场大田低氮285261
    2019林肯大学哈夫洛克研究农场大田低氮249214
    Table 1. Datasets details
    父集2018大田高氮2019大田高氮
    窗口宽度40506070804050607080
    滑动步长10101010101010101010
    子集数量25242322212221201918
    父集2018大田低氮2019大田低氮
    窗口宽度40506070804050607080
    滑动步长10101010101010101010
    子集数量26252423222221201918
    Table 2. Datasets sliding partition detail
    父集(子集)
    窗宽40
    窗宽50窗宽60窗宽70窗宽80
    2018大田高氮
    RCV20.480.630.70.570.570.58
    RMSECV0.720.60.560.660.660.65
    RPDCV1.391.651.81.531.521.54
    2019大田高氮
    RCV20.590.490.680.640.620.62
    RMSECV0.640.710.560.60.620.62
    RPDCV1.571.411.771.661.611.62
    2018大田低氮
    RCV20.480.550.550.570.530.52
    RMSECV0.720.670.670.660.680.69
    RPDCV1.381.491.491.521.461.44
    2019大田低氮
    RCV20.890.870.890.890.890.88
    RMSECV0.330.360.340.340.330.34
    RPDCV32.732.962.953.012.92
    Table 3. Nitrogen inversion model results
    Xi WANG, Gui-fen CHEN, Li-ying CAO, Li MA. Study on Maize Leaf Nitrogen Inversion Model Based on Equivalent Water Thickness Gradient[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2913
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