ihebbettaibe/fallehaa-WIEACT-hackathon-
Domain:
agricultureRecord type:
project
Creator:
ihe
Host:
Fallehaa: Web-based platform for Tunisian women farmers. Combines semi-autonomous drones with YOLO-based detection for emergencies and crop anomalies, a Raspberry Pi edge unit for real-time alerts, and a digital marketplace to improve knowledge access and fair trade.
# 🌾 Fallehaa - WIEACT Hackathon Project
**Empowering Tunisian Women Farmers through Technology**
Here is the RAG repo : github.com
Fallehaa is a comprehensive web-based platform designed to support Tunisian women farmers through innovative technology solutions. The platform combines semi-autonomous drone technology with AI-powered detection systems, edge computing for real-time alerts, and a digital marketplace to improve knowledge access and promote fair trade practices.
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## ✨ Features and Objectives
### Core Features
- **🚁 Semi-Autonomous Drone System**: Automated field monitoring and surveillance
- **🤖 YOLO-Based Detection**: Real-time detection of:
- Emergency situations (fires, floods, injuries)
- Crop anomalies (diseases, pests, irrigation issues)
- **📡 Raspberry Pi Edge Unit**: Real-time alert processing and notifications
- **🛒 Digital Marketplace**: Fair trade platform connecting farmers directly with buyers
- **📚 Knowledge Hub**: Educational resources and best practices for farming
### Project Objectives
1. Enhance farm safety through automated emergency detection
2. Improve crop health monitoring and early anomaly detection
3. Provide real-time alerts to farmers for timely interventions
4. Enable fair market access through a digital marketplace
5. Promote knowledge sharing and agricultural education
6. Support economic empowerment of women farmers in Tunisia
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## 📊 Datasets Used
The project leverages several datasets for training and validation:
- **Crop Disease Dataset**: Images of various crop diseases and pests for model training
- **Emergency Detection Dataset**: Images for fire, flood, and emergency situation detection
- **Agricultural Data**: Local climate, soil, and crop yield data from Tunisian regions
- **Custom Annotated Dataset**: Field data collected from drone imagery
*Note: Datasets are stored in the `/data` directory. See data/README.md for details.*
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## 🚀 Installation Instructions …