Table 4.
Classification performance of pesticide residues by LeNet and the proposed 1D-CNN model.
| Model | Class | Accuracy(%) | Precision(%) | Recall(%) | F1-score |
|---|---|---|---|---|---|
| LeNet | all | 89.50 | 90.10 | 89.50 | 0.8950 |
| none | 87.50 | 83.33 | 87.50 | 0.8537 | |
| acetamiprid | 90.00 | 94.74 | 90.00 | 0.9231 | |
| malathion | 92.50 | 92.50 | 92.50 | 0.9250 | |
| difenoconazole | 97.50 | 82.98 | 97.50 | 0.8966 | |
| beta-cypermethrin | 80.00 | 96.97 | 80.00 | 0.8767 | |
| Proposed 1D-CNN |
all | 94.00 | 94.06 | 94.00 | 0.9396 |
| none | 90.00 | 90.00 | 90.00 | 0.9000 | |
| acetamiprid | 95.00 | 95.00 | 95.00 | 0.9500 | |
| malathion | 100.00 | 95.24 | 100.00 | 0.9756 | |
| difenoconazole | 97.50 | 92.86 | 97.50 | 0.9512 | |
| beta-cypermethrin | 87.50 | 97.22 | 87.50 | 0.9211 |