Table 3.
Predictions of SVM models throughout multiple growth stages
| Year | Bands | Sample | Level 0 | Level 1 | Level 2 | Level 3 | Level 4 | True |
|---|---|---|---|---|---|---|---|---|
| 2019 | All | Level 0 | 16 | 0 | 0 | 0 | 0 | 16 |
| Level 1 | 0 | 11 | 3 | 0 | 0 | 14 | ||
| Level 2 | 0 | 0 | 27 | 2 | 0 | 29 | ||
| Level 3 | 0 | 0 | 5 | 15 | 1 | 21 | ||
| Level 4 | 0 | 0 | 0 | 2 | 17 | 19 | ||
| Prediction | 16 | 11 | 35 | 19 | 18 | 99 | ||
| 491 nm | Level 0 | 15 | 1 | 0 | 0 | 0 | 16 | |
| 671 nm | Level 1 | 1 | 11 | 2 | 0 | 0 | 14 | |
| Level 2 | 0 | 1 | 24 | 4 | 0 | 29 | ||
| Level 3 | 0 | 0 | 5 | 16 | 0 | 21 | ||
| Level 4 | 0 | 0 | 0 | 4 | 15 | 19 | ||
| Prediction | 16 | 13 | 31 | 24 | 15 | 99 | ||
| 491 nm | Level 0 | 15 | 1 | 0 | 0 | 0 | 16 | |
| 668 nm | Level 1 | 3 | 8 | 3 | 0 | 0 | 14 | |
| Level 2 | 0 | 0 | 24 | 5 | 0 | 29 | ||
| Level 3 | 0 | 0 | 5 | 16 | 0 | 21 | ||
| Level 4 | 0 | 0 | 0 | 2 | 17 | 19 | ||
| Prediction | 18 | 9 | 32 | 23 | 17 | 99 | ||
| 2021 | All | Level 0 | 13 | 0 | 0 | 0 | 0 | 13 |
| Level 1 | 0 | 34 | 0 | 0 | 0 | 34 | ||
| Level 2 | 0 | 10 | 3 | 2 | 0 | 15 | ||
| Level 3 | 0 | 0 | 1 | 19 | 1 | 21 | ||
| Level 4 | 0 | 0 | 0 | 3 | 10 | 13 | ||
| Prediction | 13 | 44 | 4 | 24 | 11 | 96 | ||
| 491 nm | Level 0 | 13 | 0 | 0 | 0 | 0 | 13 | |
| 671 nm | Level 1 | 2 | 32 | 0 | 0 | 0 | 34 | |
| Level 2 | 0 | 9 | 0 | 6 | 0 | 15 | ||
| Level 3 | 0 | 0 | 0 | 21 | 0 | 21 | ||
| Level 4 | 0 | 0 | 0 | 2 | 11 | 13 | ||
| Prediction | 15 | 41 | 0 | 29 | 11 | 96 | ||
| 491 nm | Level 0 | 12 | 1 | 0 | 0 | 0 | 13 | |
| 668 nm | Level 1 | 1 | 33 | 0 | 0 | 0 | 34 | |
| Level 2 | 0 | 8 | 2 | 5 | 0 | 15 | ||
| Level 3 | 0 | 0 | 1 | 20 | 0 | 21 | ||
| Level 4 | 0 | 0 | 0 | 2 | 11 | 13 | ||
| Prediction | 13 | 42 | 3 | 27 | 11 | 96 |