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Computational Intelligence and Neuroscience
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Computational Intelligence and Neuroscience
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2022
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Article
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Tab 8
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Research Article
Prediction of Soil Available Boron Content in Visible-Near-Infrared Hyperspectral Based on Different Preprocessing Transformations and Characteristic Wavelengths Modeling
Table 8
Result of SG + SNV + DT/PLS_RBF models.
Variable selection method
No. of variables
Calibration sets
Test sets
RMSE
RPD
RPIQ
RMSE
RPD
RPIQ
Full wavelengths
1306
0.988
0.009
8.963
4.800
0.810
0.043
3.217
2.126
RFA
367
0.690
0.476
1.803
0.985
0.819
0.376
2.370
1.064
SPA
3
0.542
0.578
1.483
0.810
0.782
0.412
2.159
0.969
VIP
367
0.690
0.476
1.803
0.985
0.819
0.376
2.370
1.064