Table 6 Analysis of the proposed work in comparison to current studies that have utilized the Makerere university AI lab’s cassava leaf disease dataset.
S. No | Source | Model | Accuracy (in %) |
|---|---|---|---|
1 | Tewari et al.34 | Lightweight Modified Attention-based Network | 75.00 |
2 | Methil et al.15 | Transfer Learning EfficientNet-B4 | 85.64 |
3 | Singh et al.35 | InceptionResNetV2 | 87.86 |
4 | Maryum et al.29 | Transfer Learning EfficientNet-B4 | 89.09 |
5 | Chen et al.36 | Transfer Learning ResNest-59 | 89.70 |
6 | Zhang et al.37 | SimCLR | 91.59 |
7 | Vijayalata et al.38 | Transfer Learning EfficientNet-B0 | 92.60 |
8 | Proposed Network | Hybrid Feature Aggregation Network | 93.06 |
