This is the first video in end to end deep learning project series in agriculture domain. Farmers every year face economic loss and crop waste due to various diseases in potato plants. We will use image classification using CNN and built a mobile app using which a farmer can take a picture and app will tell you if the plant has a disease or not. Technology stack for this project will be, Model Building: tensorflow, CNN, data augmentation, tf dataset Backend Server and ML Ops: tf serving, FastAPI Model Optimization: Quantization, Tensorflow lite Frontend: React JS, React Native Deployment: GCP (Google cloud platform, GCF (Google cloud functions) Code: https://github.com/codebasics/potato-...