Deep Learning for Plant Leaf Disease Detection
How convolutional neural networks are applied to identify and classify plant leaf diseases from images. Covers building an image dataset and augmenting it, fine-tuning pretrained CNN architectures such as MobileNet through transfer learning, designing custom and multi-scale CNN models, using explainability tools like Grad-CAM to see which leaf regions drive a prediction, and evaluating detection accuracy against state-of-the-art baselines. A worked example of turning a real agricultural problem into a supervised image-classification pipeline.
Leaf diseases detection using deep learning methods
This study, our main topic is to devlop a new deep-learning approachs for plant leaf disease identification and detection using leaf image datasets. We also discussed the challenges facing current me…