Research Article
Determination of Wheat Heading Stage Using Convolutional Neural Networks on Multispectral UAV Imaging Data
Table 1
Fitting effect of single band information input fitting model.
| Input band (nm) | Fitting model | Fitting results | R2 | RMSEP |
| 550 | NN | 0.13 | 0.12 | SVR | 0.12 | 0.07 | DT | 0.36 | 0.39 | 1D CNN + DT | 0.47 | 0.37 |
| 660 | NN | 0.10 | 0.10 | SVR | 0.11 | 0.10 | DT | 0.46 | 0.38 | 1D CNN + DT | 0.57 | 0.39 |
| 730 | NN | 0.15 | 0.12 | SVR | 0.26 | 0.17 | DT | 0.47 | 0.40 | 1D CNN + DT | 0.52 | 0.37 |
| 790 | NN | 0.13 | 0.12 | SVR | 0.27 | 0.17 | DT | 0.40 | 0.32 | 1D CNN + DT | 0.47 | 0.34 |
|
|