Research Article
Detection of Fungal Infections in Gloriosa Superba Plant Using the Convolution Neural Network Model
Table 5
Comparative analysis of proposed method after data augmentation process.
| Methodology | Precision | Recall | F1-score | Accuracy |
| CNN without preprocessing | 94.33 | 94.62 | 94.69 | 93.25 | CNN with preprocessing | 95.67 | 94.00 | 94.99 | 95.50 | PSO-CNN | 96.1 | 95.56 | 93.61 | 96.88 | Proposed | 98.5 | 97.25 | 98.99 | 99.32 |
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