This document summarizes a research paper that proposes using image processing techniques to detect diseases in crop plants by analyzing images of leaves. It discusses how this could help farmers more quickly and accurately identify unhealthy plants. The system would analyze images of leaves to extract features and detect affected areas, matching images to determine the disease and providing solutions. This would help farmers monitor crop health more efficiently compared to relying solely on expert observation. The proposed system architecture involves sensors to collect field data, cloud storage of crop and treatment information, and a mobile app for farmers to access recommendations and market prices. This automation could help increase crop yields by enabling timely treatment of diseases.