| _ | mildew | _ |
| Damage Mapping of Powdery | mildew | in Winter Wheat with High-Resolution Satellite Image |
| Detection of Rubber Tree Powdery | mildew | from Leaf Level Hyperspectral Data Using Continuous Wavelet Transform and Machine Learning |
| Early Detection of Powdery | mildew | Disease and Accurate Quantification of Its Severity Using Hyperspectral Images in Wheat |
| Early Detection of Rubber Tree Powdery | mildew | by Combining Spectral and Physicochemical Parameter Features |
| Enhanced Regional Monitoring of Wheat Powdery | mildew | Based on an Instance-Based Transfer Learning Method |
| Integrating Growth and Environmental Parameters to Discriminate Powdery | mildew | and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery |
| Machine Learning-based Classification of Powdery | mildew | Severity on Melon Leaves |
| Monitoring of Wheat Powdery | mildew | Disease Severity Using Multiangle Hyperspectral Remote Sensing |
| Monitoring of Wheat Powdery | mildew | under Different Nitrogen Input Levels Using Hyperspectral Remote Sensing |
| One-Dimensional Convolutional Neural Network for Automated Kimchi Cabbage Downy | mildew | Detection Using Aerial Hyperspectral Images |
| Unmanned Aerial Vehicle-Based RGB Imaging and Lightweight Deep Learning for Downy | mildew | Detection in Kimchi Cabbage |
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