Research Article
Design and Implementation of Smart Hydroponics Farming Using IoT-Based AI Controller with Mobile Application System
Table 3
Performance estimation of Prediction-DLCNN model.
| Method | Accuracy (in %) | Precision (in %) | Recall (in %) | F-measure |
| EFIS [15] | 90.898 | 92.514 | 90.355 | 91.673 | SVM [16] | 92.960 | 94.117 | 91.518 | 93.234 | MicConvNet [18] | 93.264 | 95.515 | 92.885 | 94.596 | RCNN [23] | 94.599 | 96.889 | 93.614 | 95.845 | Prediction-DLCNN | 99.82 | 98.64 | 99.937 | 99.283 |
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