Mobile Crop Disease Detection for Farmers

This presentation covers the development of a deep learning solution for crop disease classification using leaf images. It includes problem context, objectives, dataset overview, preparation methods, and modeling approaches: a baseline custom CNN and a transfer learning model with MobileNetV2. The solution is designed for deployment in mobile-first, low-connectivity environments, achieving high accuracy and real-time inference through lightweight models. Additional insights focus on training...