Spectroscopy and Spectral Analysis, Volume. 42, Issue 10, 3217(2022)

Estimation of Potato Plant Nitrogen Content Using UAV Multi-Source Sensor Information

Figures & Tables(11)
Potato field location and experiment design
Spectral reflectance curves of potato in tuber formation period
Comparative analysis of extracted plant height and measured plant height of potato
Comparative analysis of potato extraction coverage and measured coverage
Correlation analysis results of extraction parameters and plant nitrogen content at different growth stagesNote: dotted line represents the correlation significant at 0.01 level
PNC estimation of potato based on FFPs using PLSR
PNC estimation of potato based on FFPs using ANN
  • Table 1. Sensor parameters

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    Table 1. Sensor parameters

    数码相机传感器参数值高光谱传感器参数值
    类型CMOS型号UHD185
    镜头FOV 84°尺寸/(mm×mm×mm)195×67×60
    快门速度/s8~1/8 000相机质量/g470
    有效像素/万2 000波谱范围/nm450~950
    对焦距离/自动1 m~无穷远采样间隔/nm4
    照片尺寸4 864×3 648光谱分辨率/nm8
  • Table 2. PNC of potato estimated by using optimal green edge parameter

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    Table 2. PNC of potato estimated by using optimal green edge parameter

    生育期OGEP建模验证
    R2RMSE/%NRMSE/%R2RMSE/%NRMSE/%
    现蕾期Dsum0.540.5514.970.770.3714.21
    块茎形成期Dsum0.440.4614.530.800.3714.32
    块茎增长期Dg/Dgmin0.470.4416.460.480.3916.63
    淀粉积累期Rmax0.470.3411.920.450.3611.54
    成熟期Dsum0.490.3714.020.310.3713.33
  • Table 3. Estimated values of potato PNC with optimal fusion feature parameters

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    Table 3. Estimated values of potato PNC with optimal fusion feature parameters

    生育期OFFP建模验证
    R2RMSE/%NRMSE/%R2RMSE/%NRMSE/%
    现蕾期SDg/1+VCuav0.680.4612.500.770.3811.29
    块茎形成期SDg/1+VCuav0.670.3511.070.860.2510.41
    块茎增长期Dsum/1+VCuav0.780.2810.520.760.2510.14
    淀粉积累期Dsum/1+VCuav0.530.3411.350.720.3010.82
    成熟期Dg/1+VCuav0.300.4316.470.470.3816.43
  • Table 4. PNC estimations of potato at different growth stages by using PLSR and ANN

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    Table 4. PNC estimations of potato at different growth stages by using PLSR and ANN

    生育
    模型
    变量
    PLSRANN
    建模验证建模验证
    R2RMSE
    /%
    NRMSE
    /%
    R2RMSE
    /%
    NRMSE
    /%
    R2RMSE
    /%
    NRMSE
    /%
    R2RMSE
    /%
    NRMSE
    /%
    P1GEPs0.730.4211.610.770.4110.470.770.4311.890.810.3910.09
    FFPs0.740.4111.350.780.4110.480.840.349.300.860.328.08
    P2GEPs0.720.3210.300.680.3510.380.740.3310.470.720.4012.03
    FFPs0.770.299.320.850.288.550.800.278.700.840.308.96
    P3GEPs0.500.4215.940.620.3412.250.570.3914.720.670.3010.93
    FFPs0.790.2810.380.770.259.220.830.259.510.790.259.09
    P4GEPs0.470.3411.910.470.3611.500.550.3311.560.500.3611.36
    FFPs0.670.299.710.730.2910.530.710.279.050.740.2910.44
    P5GEPs0.530.3513.510.470.3412.180.640.3212.220.460.3311.88
    FFPs0.370.4115.570.510.3311.980.530.3613.660.420.3412.16
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. Estimation of Potato Plant Nitrogen Content Using UAV Multi-Source Sensor Information[J]. Spectroscopy and Spectral Analysis, 2022, 42(10): 3217

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Paper Information

Category: Research Articles

Received: Mar. 2, 2022

Accepted: Jun. 9, 2022

Published Online: Nov. 23, 2022

The Author Email:

DOI:10.3964/j.issn.1000-0593(2022)10-3217-09

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