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Fetching SoilGrids data... Please wait.
Explore the trade-offs between different simulated runs and view the generated weather.
Fresh yield × sale price; costs are not deducted.
Irrigation schedules show depth in mm; total water use is volume in m³. 1 mm over 1 ha = 10 m³.
X: Irrigation volume (m³) | Y: Gross revenue
The shaded area shows the range between pessimistic and optimistic scenarios. The selected scenario is highlighted.
Fetching climate data from Open-Meteo...
16-day weather forecast (source: ECMWF IFS via Open-Meteo)
Shaded bands represent the 25th to 75th percentiles (Interquartile Range) across the selected lookback period. Solid lines are the median.
Year-by-year summary of mean temperature and total precipitation.
Running stress analysis... Fetching climate & satellite data...
NDVI measures crop greenness/vigor (higher = healthier). Drops indicate stress events.
Temperature, precipitation, and ET₀ for the same period — explains why stress occurred.
Compares Actual Evapotranspiration (AETI) against Reference Evapotranspiration (ET₀). Large gaps indicate severe water stress.
Combined score from heat, cold, water deficit, VPD, and vegetation health (0 = no stress, 1 = severe).
No stress events detected for this period.
Generating NDVI map from Sentinel-2 via Google Earth Engine...
This may take 15-30 seconds depending on field size and date range.
🗺️ How it works: Select a date range and view mode, then click "Generate Map". The modal will close and the NDVI overlay will appear on the main map, along with a floating panel showing statistics, legend, and controls.
Welcome to the AI4Water platform. This application integrates GIS mapping, satellite imagery, and advanced agronomic models to help you monitor field health and optimize crop yield and water use.