AI Based Crop Disease Detection and Pesticide Recommendation

Agriculture plays a vital role in the economy of many countries, especially India. Crop diseases significantly affect agricultural productivity and lead to economic losses for farmers. Early detection of crop diseases and providing appropriate pesticide recommendations can minimize damage and improve crop yield. This project proposes an Artificial Intelligence-based system that detects crop diseases from leaf images using Convolutional Neural Networks (CNN) and recommends suitable pesticides along with preventive suggestions. The system uses image processing and deep learning techniques to classify healthy and diseased crops accurately. The proposed solution is cost-effective, user-friendly, and can assist farmers in making informed decisions.