Authors - Nandinee Mudegol, Abhijeet Urunkar, Vedika Dhende, Vaishnavi Katkar, Chetna Ghengare, Samiksha Harer Abstract - Agriculture is a very important sector, but the farmers are facing problems in early identification of plant diseases and monitoring crop health. Manual checking of crops is time-consuming and can lead to late detection of diseases, which lowers the yield of the crop. To address this problem, authors have pro-posed a system called Agridiagnosis. The proposed system combines two major features: plant disease detection using image processing and crop health monitoring using NDVI. Farmers can upload images of leaves to be detected and suggested treatment. At the same time, the system provides a color-coded map of crop health with respect to NDVI values. The combination of both features in a single platform allows the system to help farmers easily comprehend the crop conditions and take timely measures to increase productivity.
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