djabelo712/smart-agri-togo

Intelligent counter-season irrigation system — Togo # 🌱 Smart Agri-Togo **Intelligent Counter-Season Irrigation System for Smallholder Farming in Togo** > A research and deployment project combining Optimal Control, Machine Learning, and IoT > technology to make profitable dry-season agriculture accessible to young Togolese farmers. --- ## 📋 Project Overview Smart Agri-Togo is a **research-first, deploy-second** agritech project targeting the counter-season vegetable market in Togo (onion, carrot, lettuce, maize). The system uses: - **Model Predictive Control (MPC)** for optimal irrigation scheduling - **LSTM neural networks** for 48-hour ET₀ and rainfall forecasting - **IoT sensor network** (25 soil moisture probes on a 5×5 grid) - **Remote smartphone control** via Firebase + Flutter mobile app - **100% organic fertilization** via composting, biogas digestate, and human biosolids - **Off-grid solar power** (1.1 kWp PV + 200 Ah LiFePO4 battery bank) **Pilot field**: 25 m × 25 m (625 m²), Lomé area, Togo **Target season**: October–April (dry counter-season) **Primary crops**: Onion 🧅 · Carrot 🥕 · Lettuce 🥬 · Maize 🌽 --- ## 🗂️ Repository Structure ``` smart-agri-togo/ │ ├── docs/ # Project documentation │ ├── report/ # Full feasibility & strategic report (PDF + LaTeX) │ ├── course/ # Technical course: Math, Irrigation, Fertilization, Energy │ ├── images/ # Diagrams, simulation screenshots │ └── hardware_diagrams/ # Wiring schematics, PCB layouts │ ├── data/ # All project data (raw + processed) │ ├── weather/ │ │ ├── raw/ # Raw Open-Meteo API responses (JSON) │ │ └── processed/ # Cleaned CSV: timestamp, T, RH, Rs, u2, ET0 │ ├── soil/ # Lab soil analysis results │ ├── sensors/ # Real-time field sensor readings │ └── harvest/ # Season yield records per cell │ ├── hardware/ # Physical system sp …