plant-health

🌱 This project aims to automate plant health monitoring using computer vision and deep learning. It focuses on accurate disease detection and classification in plants through rigorous data preprocessing and robust model selection.

AI-powered plant disease detection system using deep learning. Upload plant images to instantly identify 30+ diseases across Apple, Corn, Grape, Potato, Tomato & more crops. Built with FastAPI + React TypeScript. Ready for cloud deployment.

Monitoring Plant Health and Diseases for Sustainable Agriculture using CNN

🌿 AI-powered plant health analysis platform. Upload a plant image to get species identification, health diagnosis, and care recommendations.

Defra Digital: Plant Health Export Service

An AI-powered Plant Disease Detection System that uses Machine Learning and Computer Vision techniques to identify plant diseases from leaf images. The project helps farmers and agriculture researchers detect diseases early for better crop management and improved productivity.

Helping smallholder farmers make smarter fertilizer decisions through deep learning–based nutrient diagnosis.

HackByte_3.0 PlantZ Project - top 7 out of 126 Teams across India.

Unified pest modeling repository and tools for research, inference, validation, and deployment of pest models under the MaDiPHS project.

🌿 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.

AI Plant Disease Diagnosis & Treatment Planner | Indoor & Niche

Feature-engineered Computer Vision for intelligent plant health assessment.

🌱 Agrinova 2.0 — AI-Powered Plant Health Monitoring System A full-stack IoT application with real-time sensor tracking (pH, humidity, NPK), AI disease detection via leaf image upload, interactive dashboards, and responsive UI. Built with React, Vite, Node.js, MongoDB, and Google Generative AI.

AI-powered plant health analysis and personalized garden care assistant built with Python, Streamlit, and Google Gemini. 🌿🤖

Deep learning model to detect plant diseases from leaf images using CNNs and the PlantVillage dataset. Helps improve early crop disease diagnosis for agriculture and sustainability.

AI-powered plant health diagnostic app with image analysis, weather, soil data integration. Multi-language support, real-time monitoring. Built with React, TypeScript, Vite.

Laravel client for the EPPO Global Database (data.eppo.int) with a durable, self-invalidating local cache.

This project was developed as part of an academic module, focusing on delivering an innovative solution to monitor plant health in real time. Leveraging IoT sensors, AI models, and a responsive Progressive Web App (PWA), the system provides users with insightful data on plant environments and directs them to nearby agricultural centers.

Application locale complète d'analyse visuelle des cabosses de cacao avec YOLO-Seg, modèle inclus et indicateurs sanitaires.

Interactive plant care and education platform 🌱