From: Hyperspectral imaging-based classification of rice leaf blast severity over multiple growth stages
Year | Bands | Sample | Trainning set | Testing set | Model | Average accuracy | Micro | Macro |
---|---|---|---|---|---|---|---|---|
Parameters | F1 score | F1 score | ||||||
2019 | Full | Level 0 | 36 | 16 | C = 84.4485 | \ | \ | \ |
Level 1 | 32 | 14 | G = 0.0063457 | \ | \ | \ | ||
Level 2 | 67 | 29 | \ | \ | \ | |||
Level 3 | 50 | 21 | \ | \ | \ | |||
Level 4 | 46 | 19 | \ | \ | \ | |||
Total | 231 | 99 | 94.75% | 0.869 | 0.883 | |||
491 nm | Level 0 | 36 | 16 | C = 36.7583 | \ | \ | \ | |
671 nm* | Level 1 | 32 | 14 | G = 8 | \ | \ | \ | |
Level 2 | 67 | 29 | \ | \ | \ | |||
Level 3 | 50 | 21 | \ | \ | \ | |||
Level 4 | 46 | 19 | \ | \ | \ | |||
Total | 231 | 99 | 92.73% | 0.818 | 0.833 | |||
491 nm | Level 0 | 36 | 16 | C = 51.9842 | \ | \ | \ | |
668 nm* | Level 1 | 32 | 14 | G = 3.7321 | \ | \ | \ | |
Level 2 | 67 | 29 | \ | \ | \ | |||
Level 3 | 50 | 21 | \ | \ | \ | |||
Level 4 | 46 | 19 | \ | \ | \ | |||
Total | 231 | 99 | 92.32% | 0.808 | 0.816 | |||
2021 | All | Level 0 | 30 | 13 | C = 1024 | \ | \ | \ |
Level 1 | 80 | 34 | G = 0.0019531 | \ | \ | \ | ||
Level 2 | 34 | 15 | \ | \ | \ | |||
Level 3 | 50 | 21 | \ | \ | \ | |||
Level 4 | 29 | 13 | \ | \ | \ | |||
Total | 223 | 96 | 92.92% | 0.823 | 0.808 | |||
491 nm | Level 0 | 30 | 13 | C = 13.9288 | \ | \ | \ | |
671 nm | Level 1 | 80 | 34 | G = 3.0314 | \ | \ | \ | |
Level 2 | 34 | 15 | \ | \ | \ | |||
Level 3 | 50 | 21 | \ | \ | \ | |||
Level 4 | 29 | 13 | \ | \ | \ | |||
Total | 223 | 96 | 92.08% | 0.802 | 0.713 | |||
491 nm | Level 0 | 30 | 13 | C = 238.8564 | \ | \ | \ | |
668 nm | Level 1 | 80 | 34 | G = 0.35355 | \ | \ | \ | |
Level 2 | 34 | 15 | \ | \ | \ | |||
Level 3 | 50 | 21 | \ | \ | \ | |||
Level 4 | 29 | 13 | \ | \ | \ | |||
Total | 223 | 96 | 92.5% | 0.813 | 0.793 |