Based on my published research paper, this project uses a "One-vs-All" deep learning approach with EfficientNet B4 to classify cassava leaf diseases. Integrated into an Android app, it helps farmers detect diseases early, supporting sustainable farming and reducing crop losses.

Integration of 4 spectral cameras with low level sensor fusion techniques to monitor Vegetation.

🚀 Mobile-first plant disease detection using CoreML & CreateML An iOS app that leverages computer vision to classify plant diseases in real-time. Trained on 87k+ images, the model achieves good accuracy and works offline, making it ideal for farmers and agronomists in remote areas.

A Machine Learning project for Plant Disease Prediction using Random Forest, Streamlit, and Google Colab. Includes interactive UI and detailed analysis.

Al-based plant disease detection system using deep learning, providing real-time identification and remedy suggestions for crop health management.

🌿 AgroMind - AI-Driven Plant Health Advisor A smart Flutter app that helps home gardeners detect plant diseases, receive AI-driven care tips, and engage in a community for plant enthusiasts.