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Early Detection of Tomato Leaf Diseases Using a Deep Learning Approach. A Field-Based Implementation in Ghana
Universal Journal of Food Security
| Vol 3, Issue 1
Table 5. Comparative Analysis of the proposedCNN-VGGI6 Model and Existing Deep learning model
| No, | Authors/Study | Year | Model | Training Accuracy | Validation Accuracy | Validation loss |
| 1. | Proposed model | 2026 | CNN-VGG16 | 92.7% | 96.8% | 0.1834 |
| 2. | Kanakala& Ningappa | 2025 | CNN | 99.1% | 96.4% | - |
| 3. | Yasin &Fatima | 2023 | CNN +Xception | 99.89% | 97.52 | 0.0103 |
| 4. | Chelladurai et al. | 2025 | T-LSTM | 98.2% | 96.3% | - |
| 5 | Indian Agricultural Research Study | 2024 | CNN | 93.51% | 94.83% | 0.14 |