Plant Disease Detection Using Deep Learning
Deep Learning
CNNs
Transfer Learning
Data Augmentation
Mobile Platforms
Web Platforms
This project uses deep learning, specifically CNNs, to automate plant disease detection from leaf images. By applying transfer learning and data augmentation, the model achieves high accuracy across diverse conditions. The system offers a scalable, accessible solution for early disease diagnosis via mobile or web platforms. It advances precision agriculture, promoting food security and sustainable farming practices.