Learn the steps to build an app that detects crop diseases- Google Developers Blog

This post details how to build an app that detects crop diseases using TensorFlow Lite and the MediaPipe framework. It covers data collection, model training with TensorFlow, and deployment on Android devices. The process involves using a dataset of crop images, training a classification model, and integrating it into an Android application using the MediaPipe library for real-time inference. This demonstrates a practical application of on-device ML for agricultural purposes.