Table 6.
The number of parameters and training time of the competing methods for crop yield prediction.
| Measures | Models | ||||||
|---|---|---|---|---|---|---|---|
| Ridge | Lasso | RF | DFNN | RT | 3D-CNN | YieldNet | |
| Number of parameters | 8641 | 8641 | Non-parametric | 923,882 | Non-parametric | 3,167,490 | 1,436,050 |
| Training time (min) | 0.42 | 1.94 | 155.14 | 31.46 | 1.44 | 759.4 | 2.89 |
The training time indicates the total time needed for training models for both corn and soybean yield prediction. The models were trained on an Intel i7-4790 CPU 3.60 GHz.