Data intelligence system predicts water shortages in rural areas using rainfall analysis
By
FAPESP
Summary
A FAPESP-backed startup has developed a data intelligence system that predicts water shortages in rural areas by cross-referencing and analyzing rainfall data from upstream watersheds. The system provides up to 16 days of forecasting for water availability from springs, supporting decision-making in scenarios of irregular rainfall. This innovation aims to help rural communities and agricultural operations better manage water resources amid climate variability.
Source
bskyData intelligence system predicts water shortages in rural areas using rainfall analysisagencia.fapesp.brKey quotes
· 2 pulledBy cross-referencing and analyzing rainfall data from the upstream watershed, the system provides up to 16 days of forecasting.
FAPESP-backed startup forecasts water availability from springs to support decision-making in scenarios of irregular rainfall.
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