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Can AI help communities understand and use water more wisely?

Water availability, flood risk, conservation and the capacity to act on better information.

These are editorial connections, not a chain of causation or a shared score of progress.

A little more time.

Follow the evidence from a forecast to the decisions people have to make.

Read · More time before the flood

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Move the work. Watch the costs move.

Move flexible computing into daylight. Discover why a lower carbon estimate can still mean more cooling water.

The evidence so far

DISCOVERY

More time to decide when to plant.

India's Agriculture Ministry reported that a Kharif 2025 pilot sent local monsoon-onset forecasts by SMS to 38,845,214 farmers in 13 states, using a blend that included NeuralGCM, ECMWF AIFS, and 125 years of India Meteorological Department rainfall data.

Source published 2025-12-02 · Deployed
DISCOVERY

Lasers matched the herbicides.

A machine drives a vegetable field, photographs every plant, decides which are weeds, and burns them with short laser pulses. In 2024 field trials in New Jersey and New York, it controlled weeds as well as or better than the standard herbicide programme.

Source published 2025-06-24 · Deployed
DISCOVERY

A field image that asks for less tilling.

A study combined image-based tillage classification, soil sensors, weather, slope, and crop inputs to recommend tilling intensity and fertilizer amount; authors report stationary prototypes deployed on 155 farms across five countries.

Source published 2025-01-24 · Experimental
DISCOVERY

A boat that notices what it collects.

Clearbot uses electric boats and computer vision for waterway waste collection, as described in NVIDIA’s field report.

Source published 2024-10-17 · Deployed
DISCOVERY

More time before the flood.

Researchers demonstrated useful river-flood forecasts in watersheds with no local streamflow gauges.

Source published 2024-03-20 · Demonstrated

More to follow

Short source reports on announced work, early results and emerging uses.

SIGNAL · SOURCE REPORT

An experimental drought forecast reaches thousands of streamgages.

Water managers may gain earlier warning of constrained river flows. This is an experimental forecast product, not evidence that a particular allocation decision improved.

Machine learning generated streamflow drought forecasts for the conterminous United States · published 2026-01-06Captured 2026-09-06 · a lead, not a verified achievement.
SIGNAL · SOURCE REPORT

A U.S. water-supply program introduced a machine-learning metasystem.

Seasonal runoff forecasts inform agricultural and water-management choices in the western United States. The agency announcement is not an independent estimate of downstream benefits.

New River Forecast Model Integrates Artificial Intelligence to Support Better Water Management in the West · published 2021-11-04Captured 2026-09-06 · a lead, not a verified achievement.
SIGNAL · SOURCE REPORT

An Indiana utility combined sensors and AI for sewer-flow decisions.

The case describes a concrete public-infrastructure setting rather than a laboratory benchmark. EPA attributes overflow reduction to the overall smart-sewer program; the contribution of its AI component is not isolated.

Smart Sewers · published date unknownCaptured 2026-09-06 · a lead, not a verified achievement.
SIGNAL · SOURCE REPORT

Following the clues after a storm overflow

Faster, evidence-based investigation could help wastewater teams prioritize preventative and corrective work.

United Utilities rolls out new AI tool to tackle storm overflows · published 2025-07-16Captured 2026-09-07 · a lead, not a verified achievement.

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