Grape Leaf Disease Detection on Grape Leaf Disease Dataset
99.27AccuracyOptimized DenseNet121 (with domain preprocessing + Grad-CAM interpretability)
Evaluation Results
| Method | Links | |
|---|---|---|
| Optimized DenseNet121 (with domain preprocessing + Grad-CAM interpretability)Features=Domain preprocessing, Grad-CAM interpretability, Year=20252026.02 | 99.27 | |
| DenseNetComparison=Compared with CNN baseline, Year=20252026.02 | 97 | |
| DenseNet121 + CBAM + SE attention modulesArchitecture=DenseNet121 with CBAM and SE, Year=20252026.02 | 96.4 | |
| CNN/DenseNet variants with hyperspectral feature extractionInput Type=Hyperspectral imaging, Year=20222026.02 | 95 | |
| DenseNet121 baselineComparison=Baseline vs GrapeNet (RFFB + CBAM), Year=20222026.02 | 84.77 |