Learning Modules
Step-by-step guides to understanding and implementing plant disease detection using deep learning
Understanding the Dataset & Data Engineering
Learn about the plant disease dataset, its structure, and how to prepare it for training.
Image Preprocessing
Explore techniques for preprocessing plant leaf images to improve model performance.
Building the CNN Model
Understand the architecture of convolutional neural networks for plant disease detection.
CNN Architectures & Applications
Explore different CNN architectures and their applications in plant disease detection.
Training the CNN Model
Learn how to train the CNN model effectively with various optimization techniques.
Evaluation & Prediction
Understand how to evaluate model performance and make accurate predictions.
Deployment & Applications
Explore real-world applications and deployment strategies for plant disease detection.