| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Deep Learning for Tomato Diseases: Classification and Symptoms Visualization | Applied Artificial Intelligence |
| 328 | 2017 |
| Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks | Symmetry |
| 308 | 2017 |
| Using Deep Learning for Image-Based Plant Disease Detection | Frontiers in Plant Science |
| 1,289 | 2016 |
| Automatic detection of tomato disease and pests based on leaf images | 2017 | |||
| Dropout: a simple way to prevent neural network from overfitting | Journal of Machine Learning Research |
| 2015 |
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Wheat leaf disease classification using modified ResNet50 convolutional neural network model | Multimedia Tools and Applications |
| 1 | 2024 |
| Intelligent detection for sustainable agriculture: A review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection | Multimedia Tools and Applications |
| 2024 | |
| An ensemble transfer learning for nutrient deficiency identification and yield-loss prediction in crop | Multimedia Tools and Applications |
| 2024 | |
| Classification of Plant Leaf Disease Using Deep Learning | Journal of The Institution of Engineers (India): Series B | 2024 | ||
| Precision Agriculture Through Deep Learning: Tomato Plant Multiple Diseases Recognition With CNN and Improved YOLOv7 | IEEE Access |
| 2024 |