Table 2 Performance evaluation comparison of the proposed model with traditional ML algorithms.
From: IoT based intelligent pest management system for precision agriculture
Classifier | Precision (%) | Recall (%) | Overall accuracy (%) |
|---|---|---|---|
Convolutional Neural Network (CNN) | 92.82 | 98.92 | 97.50 |
Support Vector Machine (SVM) | 90.8 | 91.9 | 92.00 |
Naïve Bayes (NB) | 65.0 | 59.6 | 57.10 |
K-Nearest Neighbor (K-NN) | 73.5 | 70.7 | 68.45 |
Logistics Regression (LG) | 88.5 | 84.8 | 87.00 |
Random Forest (RF) | 82.6 | 79.0 | 79.27 |
