International Journal of Scientific Research and Engineering Development

This project presents a web-based Mango Tree Disease Detection and Treatment Recommendation System developed using Python and Flask. The system analyzes mango leaf images to identify diseases such as Powdery Mildew, Anthracnose, and Bacterial Canker. Image preprocessing and feature extraction techniques are used to detect visual symptoms and classify the disease. The application also estimates severity levels and provides structured treatment recommendations with dosage details. A step-by-step recovery plan is generated to guide farmers in effective disease management. The system aims to support precision agriculture by combining intelligent detection with practical treatment guidance.

Dr.V.Suganthi, Sai Barth Krishna P M,"Powdery Mildew Disease Detection Of Mango Trees Using CNN" International Journal of Scientific Research and Engineering Development, V9(2): Page(466-469) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.