Mitti Labs says it has partnered with Google on a rice-farming programme associated with one million carbon credits intended to reduce methane emissions and save water. The company says the programme will combine satellite technology, artificial intelligence and operations on the ground to assess projects, monitor whether farming practices are adopted and measure their impacts.

The announcement appears on Mitti Labs’ official website. The page does not state whether the one million credits have already been issued, are being developed or are a future target. It also does not provide the partnership’s value, duration, geographic scope or delivery schedule.

Contents

What Mitti Labs announced

Mitti Labs presents the partnership under the headline “One million carbon credits to save water & cut methane” and identifies Google as its partner. It describes the offering as a climate-smart rice and carbon-credit platform rather than as a standalone software product.

The company says its approach covers three stages:

  1. Assessing the project area
  2. Monitoring adoption of farming practices
  3. Measuring the resulting impact

Mitti Labs also says its projects have received an overall A rating from Sylvera, attributing that rating primarily to carbon accounting, an uncertainty deduction and direct methane measurement for projects it refers to as AWD projects. The supplied source does not include the underlying rating document, define the AWD intervention or identify a carbon standard or registry.

The page describes the credits as “permanent, measurable, scalable and investible-grade”. The page also does not clarify Google’s role—such as whether it is a buyer, funder, technology partner or participant in another part of the programme.

How the proposed system works

Rice fields can generate methane when soils remain waterlogged and oxygen-poor. Managing field water levels can reduce the conditions in which methane-producing processes occur. However, the size of any reduction depends on factors including soil conditions, local farming practices, the intervention used and how long the fields are monitored.

Mitti Labs says it combines remote sensing with field operations to follow this process across agricultural areas. Satellite data can provide repeated observations over large regions, helping identify and monitor fields. Field records and direct measurements are still important: satellite observations alone cannot establish whether a farmer adopted a particular practice or how much methane a specific field emitted.

The company’s description suggests a workflow in which remote sensing helps assess project areas, AI supports analysis and field teams track practice adoption. The source does not identify the satellite datasets, AI models, field intervention, methane-measurement protocol or carbon-accounting methodology used.

That missing detail matters because a carbon-credit programme must connect a claimed change in farming practice to a quantified reduction in greenhouse-gas emissions. Monitoring whether a practice was adopted is different from measuring its effect, and measuring an effect in selected fields is different from demonstrating results across an entire programme.

Why rice methane matters

Methane is a potent greenhouse gas, and flooded rice cultivation can create conditions that produce it. Reducing those emissions could therefore provide a climate benefit while potentially lowering the amount of water used in rice production.

Mitti Labs says rice occupies more than 10% of total agricultural landmass and claims that rice-methane reductions could reach 50%, equivalent to 0.5 gigatonnes of carbon-dioxide equivalent and substantial freshwater savings each year. Those figures are presented by the company as scalability claims.

Carbon credits generally represent quantified greenhouse-gas reductions or removals. Their credibility depends on factors such as the baseline used to estimate what would have happened without the project, additionality—whether the reduction would have occurred without carbon-credit revenue—measurement quality, treatment of uncertainty, permanence and independent verification.

For this partnership, the proposed use of satellite monitoring and field-level measurement is relevant because credit buyers need evidence that the claimed reductions occurred. But the company’s public page does not provide the project-level data needed to evaluate that claim.

What to watch next

The most useful next disclosures would be the partnership’s terms, project locations, covered area, delivery timeline and the treatment of the one million credits—whether they are planned, issued, transferred or retired.

Project documentation should also show the farming intervention, baseline emissions, evidence of farmer adoption, direct methane measurements, water-use results, uncertainty deductions and independent verification. Those details would help distinguish measured reductions from modelled or projected outcomes.

Until that information is available, the announcement establishes that Mitti Labs is presenting a Google-linked rice-carbon programme and describing a monitoring model based on satellites, AI and field operations. It does not yet establish the programme’s delivered emissions reductions, water savings or the final status of its claimed credits.

Sources