Table 11.
Performance comparison of the proposed model with existing work on PlantVillage dataset14.
| Paper Ref. | DL model used | No of class | Performance | Parameter |
|---|---|---|---|---|
| Mohanthy et al.14 |
Transfer learning (GoogleNet) |
38 | 99.34 | 6.7M |
| Ferentinos et al.15 |
Transfer Learning (VGG16, Overfeat) |
58 | 99.53 | 138.4M |
| Waheed et al.46 | Dense CNN | 3 | 98.06 | NA |
| Pandey et al.24 | DADCNN-5 | 38 | 99.93 | NA |
| Fang et al.47 | ResNet-50 | 10 | 95.61 | 25.6M |
| Thakur et al.16 | VGG-ICNN | NA | 99.16 | 6M |
| I Kunduracioglu48 | EfficientNetV2_m | 4 | 100 | 54.4M |
| I Kunduracioglu49 | Res2Next50 | 10 | 99.85 | NA |
| Dheeraj et al.17 | LWDN | NA | 99.37 | 1.5M |
| I Kunduracioglu et al.50 | CNN with ViT | 4 | 100 | NA |
| Proposed | Inception-Enhanced ViT | 7 | 99.41 | 0.90M |