A CNN-Based Framework for Accurate Detection of Plant Leaf Diseases

This study demonstrates how plant diseases significantly threaten global agricultural productivity and food security. This paper presents a deep learning-based mobile application that can detect plant diseases from leaf images using Convolutional Neural Networks (CNNs). The system was trained on a dataset comprising 38 classes of healthy and diseased plants leaves. The proposed solution combines image pre-processing, feature extraction using CNNs, and mobile deployment using a lightweight interface. The experimental results demonstrated high classification accuracy, low latency inference, and practical feasibility for real-world agricultural settings. The app further integrates features such as offline access, disease-specific treatment recommendations, and image-history tracking for farmer support.