ianmugi048/HydroSense-Kenya

# HydroSense-Kenya ## Overview HydroSense-Kenya is a scientific computing project designed to support data-driven irrigation decisions through numerical methods, simulation, optimization, and data analysis. ## Features * Data cleaning and preprocessing * Numerical differentiation * Numerical integration * Root finding * Gaussian elimination * Soil moisture simulation * Monte Carlo rainfall modelling * Irrigation schedule optimization * Scientific visualization ## Project Structure data/ src/ tests/ notebooks/ reports/ ## Installation pip install -r requirements.txt ## Running Tests pytest tests/ ## Authors Ian Mugi, in Partnership with JHUB Africa, JKUAT