Digital Measurement, Reporting & Verification for Alternate Wetting & Drying — periodic drying and re-flooding of irrigated lowland rice that cuts water use up to 30% and greenhouse-gas emissions up to 50%, while maintaining yields.
Instead of keeping paddy continuously flooded, AWD lets fields dry and re-flood on a cycle. That single change starves the methane-producing bacteria in waterlogged soil — slashing emissions and water use without hurting the harvest.
Agriculture, forestry and other land-use practices account for 24% of global greenhouse-gas emissions (FAO). AWD is one of the most scalable, farmer-friendly levers to bring that number down in rice — the staple of billions.

Every step is captured digitally, geo-tagged and time-stamped for audit-ready evidence.
Enrol the farmer, collect land records, capture photo & info, and generate a Farmer Unique ID.
Record seed variety, crop duration, sowing date and land-prep details via the mobile app.
Geo-tag the farmer's plot and link the unique ID to its boundary.
Install the AWD pipe with geo-fencing, accuracy checks and a geo-located, time-stamped photo.
Photograph each aeration event with geo-fence, date, time and accuracy checks.
Map aeration events using satellite & remote sensing and generate the AWD-events model.
Record the benefits shared with the farmer, with full supporting information.
Audit-ready data flows to verification bodies for high-integrity credit issuance.

A cloud, satellite-imagery-based analytical tool that corroborates field-reported AWD events with what's actually happening on the ground.
Manual carbon-programme data is plagued by duplication, boundary overlaps, missing coordinates and slow audits. The AWD platform removes those failure points by design.
Reliable capture with very limited human intervention.
Data is structured and instantly available for verification.
Consistent data across users and geographies.
Measurement, reporting & verification made easy and quick.
See the mobile app and dashboard in action with your own fields and methodology.