Table 2 Performance of soil free iron content models based on full spectrum.
From: Estimation of soil free Iron content using spectral reflectance and machine learning algorithms
Spectral | Modeling | Training | Testing | ||||
|---|---|---|---|---|---|---|---|
Transform | Method | R2 | RMSE (g/kg) | RRMSE (%) | R2 | RMSE (g/kg) | RRMSE (%) |
Original | PLS | 0.534 | 7.985 | 36.0 | 0.477 | 8.141 | 37.7 |
SVM | 0.536 | 8.198 | 38.9 | 0.479 | 8.374 | 38.8 | |
RF | 0.930 | 3.908 | 17.7 | 0.476 | 8.437 | 38.4 | |
DNN | 0.627 | 7.544 | 33.0 | 0.532 | 8.114 | 37.0 | |
FD | PLS | 0.689 | 6.525 | 29.4 | 0.659 | 6.563 | 30.4 |
SVM | 0.756 | 6.369 | 30.3 | 0.693 | 6.724 | 31.2 | |
RF | 0.954 | 3.685 | 16.7 | 0.559 | 8.156 | 37.2 | |
DNN | 0.894 | 4.435 | 19.2 | 0.718 | 6.622 | 30.2 | |
SNV | PLS | 0.576 | 7.617 | 34.4 | 0.587 | 7.216 | 33.4 |
SVM | 0.593 | 7.795 | 37.0 | 0.550 | 7.794 | 36.1 | |
RF | 0.933 | 3.794 | 17.2 | 0.479 | 8.400 | 38.3 | |
DNN | 0.721 | 6.642 | 29.8 | 0.573 | 7.779 | 35.4 | |
CR | PLS | 0.617 | 7.236 | 32.6 | 0.574 | 7.325 | 34.0 |
SVM | 0.937 | 2.921 | 13.3 | 0.602 | 7.451 | 33.9 | |
RF | 0.944 | 3.382 | 15.4 | 0.628 | 7.230 | 32.9 | |
DNN | 0.761 | 6.200 | 27.8 | 0.643 | 7.383 | 33.6 | |
