irrigation-need-prediction
nazaryansurenn-amb/irrigation-need-prediction
ML decision support for a Water User Association in Armenia: predicts irrigation need per grid cell from operational and earth-observation data, and maps WAIT / SOON / NOW priorities so field crews know where to go first. Python, scikit-learn, Streamlit. Code only — operational data excluded.
Summary
A machine learning decision support system for irrigation management in Armenia. It predicts weekly irrigation need per 250m grid cell using satellite data (Sentinel-1/2), weather data, and historical features. The tool prioritizes cells into WAIT/SOON/NOW categories and displays them on an interactive map via a Streamlit dashboard, helping field crews allocate water efficiently.