Research Article
Machine Learning Technique for Precision Agriculture Applications in 5G-Based Internet of Things
Table 5
Performance of the used AI models to predict cotton leaf disease detection.
| Models | Name of disease | Accuracy (%) | Sensitivity (%) | Specificity (%) | Precision (%) | -score (%) |
| SVM | Bacterial blight | 98.34 | 99.56 | 98.09 | 95.23 | 99.12 | | Alternaria | 92.45 | 94.78 | 95.23 | 96.12 | 97.89 | | Grey mildew | 91.56 | 93.56 | 97.12 | 92.34 | 98.12 | | Cerespora | 97.45 | 91.23 | 94.67 | 89.45 | 99.23 | RF | Bacterial blight | 85.01 | 82.65 | 94.34 | 88.12 | 87.76 | | Alternaria | 86.21 | 83.45 | 93.56 | 87.90 | 88.90 | | Grey mildew | 79.99 | 79.56 | 91.34 | 85.23 | 83.21 | | Cerespora | 82.45 | 81.45 | 90.23 | 89.12 | 87.45 | NB | Bacterial blight | 75.99 | 77.89 | 93.43 | 80.09 | 82.45 | | Alternaria | 77.34 | 76.89 | 92.45 | 79.45 | 83.90 | | Grey mildew | 72.45 | 75.34 | 90.78 | 81.32 | 85.78 | | Cerespora | 69.34 | 72.89 | 91.45 | 78.45 | 81.23 |
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