AGRO-SCAN is a smart agriculture solution designed to empower farmers through the use of AI, machine learning, and computer vision. Our project aims to address critical challenges in agriculture such as early crop disease detection, soil condition analysis, and timely advisory for improved crop yield. The system allows users (farmers or agri-experts) to upload images of their plants or soil. Using a pre-trained deep learning model, AGRO-SCAN identifies plant diseases or classifies soil health based on texture and visual indicators. Upon detection, the platform provides tailored recommendations, including treatment steps, preventive actions, and optimal farming practices. Key Features: 🌿 Plant Disease Detection via Image Upload 🌱 Soil Health Classification using Computer Vision 📊 Real-time Analytics Dashboard 📍 Multilingual Support for Local Farmers 📱 Mobile-Friendly Interface for Field Use With AGRO-SCAN, we aim to reduce crop loss, support sustainable farming, and empower farmers with AI-driven insights—all in an easy-to-use digital platform.
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