Corn Health Monitoring System (Designed for Ceylon Biscuit Limited) using Aerial Imagery
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Updated
Feb 7, 2022 - Python
Corn Health Monitoring System (Designed for Ceylon Biscuit Limited) using Aerial Imagery
The Smart Crop Disease Detection System is a Django web app that uses machine learning to identify crop diseases from leaf images. It helps farmers detect diseases quickly and take action to protect their crops. The system features AWS S3 image storage, TensorFlow Lite integration, and a responsive front-end for easy use.
🌾 AI-powered crop disease detection for Indian agriculture - 58 disease types across 9 crops
Automated plant disease detection system using image processing to help farmers to identify crop issues early and improve yield quality.
Detect southern rust and corn pollination problems early with this AI-powered crop health monitor. Upload field images, auto-fill weather data, and generate instant CSV and PDF reports directly in WordPress. Built for farmers to reduce yield loss and improve decision-making.
Crop Recommendation and Health management system
AI-powered plant health diagnostic app with image analysis, weather, soil data integration. Multi-language support, real-time monitoring. Built with React, TypeScript, Vite.
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