Table 2 Classification accuracies of different input features and classifiers
From: Gray mold and anthracnose disease detection on strawberry leaves using hyperspectral imaging
Classifier | Spectral fingerprint features | Vegetation index features | Fused features | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Â | Healthy | Gray mold | Anthracnose | Overall | Healthy | Gray mold | Anthracnose | Overall | Healthy | Gray mold | Anthracnose | Overall |
BPNN | 100% | 83.33% | 66.67% | 83.33% | 86.67% | 83.33% | 73.33% | 81.11% | 100% | 96.67% | 96.67% | 97.78% |
SVM | 93.33% | 93.33% | 56.67% | 81.11% | 93.33% | 93.33% | 76.67% | 87.78% | 100% | 96.67% | 86.67% | 94.44% |
RF | 93.33% | 70% | 53.33% | 72.22% | 86.67.% | 90% | 76.67% | 84.44% | 100% | 93.33% | 86.67% | 93.33% |