🌱 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.

Monitoring Plant Health and Diseases for Sustainable Agriculture using CNN

Defra Digital: Plant Health Export Service

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

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.

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

A Flask backend for plant disease detection using pre-trained Keras models (best_custom_cnn_model.h5, plant_disease_resnet50_model.h5) with an image preprocessing pipeline (preprocess.py) and app.py API for classifying leaf diseases.

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

A smart Flutter app for detecting crop diseases using a CNN model deployed via Flask on Render. It verifies images, predicts diseases, and suggests treatments.

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.

Research about collective action problems in plant health

🌱 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.

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.

A lightweight Python deep learning framework for precision agriculture. It leverages a CNN autoencoder to detect mixed pixels in thermal images, enabling early crop disease detection with robust metrics (MPP, SSIM, MSE) and scalable design.

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

Green Thumb is a plant care companion app that helps gardeners and plant enthusiasts track plant health, watering schedules, and gardening tips. Built with TypeScript for a reliable, responsive experience.

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

🌿 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.