International Journal of Scientific Research and Engineering Development

This paper presents a web-based crop disease detection system using deep learning techniques to automatically identify plant diseases from leaf images. A pretrained Convolutional Neural Network (CNN) model is employed using transfer learning to achieve high classification accuracy. To enhance transparency and user trust, Grad-CAM visualization is integrated to highlight disease-affected regions of the leaf images. The trained model is deployed through a REST-based web application, enabling users to upload images and receive real-time predictions along with visual explanations. The proposed system provides an efficient, scalable, and interpretable solution for early crop disease diagnosis and improved agricultural productivity.

Shreya P, V.Vaishnavi, "Smart Crop Vision: A Plant Disease Identification System Using CNN" International Journal of Scientific Research and Engineering Development, V8(6): Page(2597-2600) Nov-Dec 2025. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.