From: Hyperspectral imaging-based classification of rice leaf blast severity over 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 |