Table 6.
Phenotypic indicators predict yield results.
| Phenotypic indicators | Algorithm | R2 | RMSE | MAE | MBE | Equation |
|---|---|---|---|---|---|---|
| SPAD | BP | 0.52 | 8.49 | 9.41 | -1.76 | y=0.49x+24.96 |
| SVM | 0.57 | 12.11 | 7.51 | -0.03 | y=0.57x+27.47 | |
| RF | 0.59 | 11.10 | 8.51 | 0.05 | y=0.46x+34.81 | |
| NC/mg*g-1 | BP | 0.51 | 11.02 | 8.80 | -1.33 | y=0.46x+32.49 |
| SVM | 0.68 | 10.11 | 9.19 | -3.58 | y=0.48x+29.51 | |
| RF | 0.76 | 8.67 | 8.25 | 0.35 | y=0.46x+37.11 | |
| PH/cm | BP | 0.71 | 12.11 | 8.66 | 1.78 | y=0.75x+18.45 |
| SVM | 0.69 | 12.17 | 7.25 | 0.58 | y=0.75x+17.99 | |
| RF | 0.74 | 9.29 | 8.45 | 0.42 | y=0.62x+24.06 | |
| TN | BP | 0.59 | 14.97 | 8.98 | 0.38 | y=0.72x+19.98 |
| SVM | 0.50 | 10.14 | 17.60 | -0.07 | y=0.10x+60.53 | |
| RF | 0.66 | 10.35 | 9.33 | 0.56 | y=0.57x+29.80 | |
| Combine | BP | 0.81 | 13.78 | 5.98 | -0.04 | y=0.57x+28.77 |
| SVM | 0.64 | 2.66 | 5.60 | 0.03 | y=0.18x+53.68 | |
| RF | 0.71 | 7.91 | 6.95 | 0.07 | y=0.57x+29.80 |
PH stand for plant height; TN stand for tiller number; SPAD stand for soil and plant analysis development value; NC stand for nitrogen content. BP stand for back propagation neural network; SVM stand for support vector machine; RF stand for random forest.