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charaf19/Zra-aTech

Domaine:

agriculturegeospatial

Type de record:

project
Créateur:
cha
Hôte:
Smart agriculture for Morocco. ZraïaTech leverages satellite imagery, lightweight micro-trials, and AI models to help agronomists and farmers optimize demonstration plots, select better fertilization strategies, and share localized, multilingual advisories (FR/EN/Arabic). # 🌾 ZraïaTech **Smart Agriculture for Morocco** ZraïaTech is an innovative platform that combines **satellite imagery**, **lightweight micro-trials**, and **AI-driven recommendations** to help agronomists and farmers make better, data-powered decisions. Our goal is to **optimize demonstration plots, improve fertilization strategies, and deliver simple, localized advisories** that boost productivity and sustainability in Moroccan agriculture. --- ## ✨ Key Features - 📡 **Remote Sensing** - 🧪 **Micro-Trial Designer** - 🤖 **Adaptive AI** - 💬 **Advisory Generator** - 📊 **Interactive Dashboard** --- ## 🚀 Mission Empower Moroccan farmers and organizations with **data-driven, sustainable solutions** that: - Increase cereal yields and resilience. - Reduce field workload through remote sensing & automation. - Strengthen farmer trust with clear, expert-validated advisories. --- ## 🛠 Tech Stack - **Remote Sensing & ML**: Python, Rasterio, Xarray, GDAL, GeoPandas, LightGBM/XGBoost, PyTorch. - **Backend Services**: FastAPI, Docker, PostgreSQL/PostGIS, MinIO/S3. - **Frontend**: React/Next.js, MapLibre/Leaflet, Plotly. - **Messaging**: WhatsApp Cloud API, SMS integration. - **Infra**: Dockerized microservices, CI/CD, small VPS/VM deployment. --- ## 📂 Repository Structure ```bash ZraiaTech/ ├── data/ # Sample datasets & boundaries ├── notebooks/ # Exploration & RS preprocessing ├── src/ │ ├── ingestion/ # RS & weather data pipelines │ ├── services/ # Targeting, trial design, learning, advisory │ ├── dashboard/ # Frontend (React/Next.js) │ └── utils/ # Common helpers ├── docs/ # Documentation & diagrams └── README.md ```` --- ## 📖 Getting Started ### Prerequisites * Python 3.9+ * Node.js 18+ (for dashboard) * Docker (recommended) ### Installation ```bash # Clone the repository git clone github.com /ZraiaTech.git cd ZraiaTech # Create virtual environment python -m venv venv source venv/bin/act …

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