Lagat27/HydroSense-Kenya

HydroSense-Kenya is a Python-based scientific computing project that models soil-water balance, estimates water deficits, simulates future soil moisture under climate uncertainty, and recommends optimized irrigation schedules for efficient water management in agriculture. # HydroSense-Kenya ## Overview HydroSense-Kenya is a scientific computing project that models water management and irrigation decision support for agricultural zones in Kenya. The project combines weather observations, soil sensor measurements, and crop-specific parameters to estimate evapotranspiration, monitor soil moisture, and support efficient water use. ## Project Objectives * Analyse agricultural and environmental datasets. * Model soil water balance using scientific computing techniques. * Estimate evapotranspiration using weather variables. * Visualise rainfall and soil moisture trends. * Develop numerical methods and simulations for irrigation planning. * Demonstrate reproducible scientific computing workflows. ## Project Structure ```text HydroSense-Kenya/ │ ├── data/ │ └── raw/ │ ├── weather_daily.csv │ ├── soil_sensor_data.csv │ └── crop_zone_parameters.csv │ ├── notebooks/ │ └── Level_1_Problem_Framing.ipynb │ ├── reports/ │ ├── data_dictionary.md │ ├── level1_assumptions.md │ └── level1_problem_statement.md │ ├── src/ │ └── simulation.py │ ├── tests/ │ └── README.md ``` ## Technologies Used * Python * NumPy * Pandas * Matplotlib * Jupyter Notebook ## Current Progress * Level 1: Problem Framing and Water Balance Model ✅ * Level 2: Vectorization and Numerical Error Analysis ⏳ * Level 3: Numerical Methods ⏳ * Level 4: Data Analysis and Visualization ⏳ * Level 5: Simulation and Optimization ⏳ * Level 6: Testing and Reproducibility ⏳ HydroSense-Kenya is a scientific computing project that applies numerical modeling, data analysis, optimization, and validation techniques to support irrigation and water management decisions using environmental and agricultural datasets. ## Author Scientific Computing Project – HydroSense-Kenya