Overview
RiceProTech is a mobile application designed to help farmers identify and classify rice leaf diseases using advanced machine learning technology. Built with React Native, the app provides an intuitive interface for capturing and analyzing rice leaf images to detect common diseases that affect rice crops.
Key Features
- •Real-time disease classification using TensorFlow models
- •Image capture and processing capabilities
- •Offline functionality with local SQLite database
- •User-friendly mobile interface
- •Disease information and recommendations
Technologies Used
React NativeTensorFlowSQLitePythonGoogle Colab
Project Status
In Development
This project is currently under active development. The mobile app is being built to provide farmers with an accessible tool for early disease detection in rice crops, helping to improve crop yields and reduce losses.