This document describes a proposed system to diagnose plant diseases using neural networks and image processing. The system would take an image of a plant leaf using a smartphone, extract features from the image like color, texture, and edges using preprocessing and segmentation algorithms. It would then use a support vector machine algorithm and the extracted features to predict the plant disease. It would also recommend pesticides and their costs to treat the predicted disease to help farmers identify effective treatment options. The goal is to develop an automated system to help identify plant diseases from images in order to benefit large-scale crop monitoring and disease detection.