EcoMED - Plant Disease Detection
AI-powered web application for detecting plant diseases using deep learning and computer vision
EcoMED Features
Complete AI-powered plant disease detection solution featuring Flask web interface and deep learning integration - transforming plant health monitoring through advanced computer vision technology.
- High-accuracy disease detection: with deep learning CNN models
- Enterprise-grade Security:
- Secure Authentication: Hashed passwords and session management
- Data Protection: Secure user data and image storage
- Advanced AI Capabilities:
- PyTorch Integration: State-of-the-art deep learning framework
- Multi-Plant Support: Detection for various plant species and diseases
- Confidence Scoring: Probability scores for each prediction
- System-level Optimization:
- Optimized Stack: Flask backend with MySQL database
- Efficient Processing: Quick image analysis and results
- High Stability: Reliable performance for agricultural use
- Cross-Platform Accessibility:
- Web Interface: Responsive design for all devices
- Mobile Support: Field-friendly mobile interface
- API Access: JSON API for integration with other systems
- Automated database management: with self-initializing tables
- Comprehensive dashboard: for uploads and prediction history
- Optimized for agricultural use: designed for farmers and researchers
🤖 Advanced AI Detection Technology
EcoMED uses sophisticated Convolutional Neural Networks (CNN) trained on thousands of plant leaf images to accurately identify diseases with high confidence scores. The system provides actionable insights for farmers and agricultural professionals, helping to improve crop yield and reduce agricultural losses.
Helping farmers detect plant diseases early and improve crop yield
Project Information
- Category: Agriculture AI / Web Application
- Technologies:
Flask PyTorch MySQL CNN Python Bootstrap
- Project Date: 2024
- Target Users: Farmers, Researchers, Agricultural Experts
- Project URL: https://github.com/yourusername/ecomed
AI-Powered Agriculture Solution
EcoMED is a Flask-based web application that allows users to upload plant leaf images and receive AI-powered disease predictions. It integrates a PyTorch CNN model for accurate plant disease detection, a MySQL database for user authentication and file tracking, and a comprehensive web-based dashboard for managing uploads and predictions.
Designed for farmers, researchers, and agricultural experts, EcoMED provides an accessible interface for early disease detection, helping to improve crop yield and reduce agricultural losses through advanced artificial intelligence.
Application Interface
