AgriScan AI: Real-Time Crop Disease Detection for Potato and Tomato

Abstract

Farming is crucial for humanity’s food supply, yet many plant diseases continue to threaten crop yield. This paper presents the AgriScan AI smart system for disease detection in tomato and potato plants by image analysis. The system employs deep learning models like Convolutional Neural Networks for grouping healthy and diseased tomato and potato leaf images based on leaf pictures. We use ResNet and MobileNet with transfer learning to get things working more smoothly. Our service has a simple web interface where users can upload images and get their results instantly. Agriculture is an active field and this solution fits well because it is fast and accurate for on the spot farming decisions. This will help farmers avoid losses and maximize their crop yield.