Summary

• CarbonFarm has raised €7m in Series A financing led by Colam Impact, including a €1m equity investment from Proparco.
• Its monitoring platform combines satellite observations of agricultural practices with modelling used to estimate greenhouse gas emissions.
• The funding will support international project development and monitoring, although the technology does not directly measure methane released by individual rice fields.

French agricultural technology company CarbonFarm has raised €7 million to expand satellite-based monitoring of rice cultivation, developing tools intended to establish whether farmers have adopted practices that reduce methane emissions and to support the verification of their environmental results.

The Series A round was led by Colam Impact, with participation from Proparco, Suma Capital, elea, Working Capital Fund, Albo and Bpifrance, alongside existing investors. French development finance institution Proparco has confirmed that its €1 million equity investment forms part of the wider round, rather than representing separate additional financing.

CarbonFarm combines remote sensing, machine learning and greenhouse gas modelling to monitor changes in rice farming practices. The company is seeking to make emissions reporting less dependent on repeated field visits and manual records, particularly where agricultural projects involve large numbers of small farms across several regions.

The distinction between observing a change in farming practice and measuring its environmental outcome is central to the technology. Satellite imagery can provide evidence about conditions in a field, including patterns of flooding, but calculating how those conditions affect methane emissions requires a model of biological processes that are not directly visible from orbit.

Water management offers an emissions opportunity

Rice is commonly cultivated in flooded fields, where prolonged water coverage creates oxygen-poor conditions in the soil. Microorganisms operating in those conditions produce methane, making rice cultivation an important agricultural source of the greenhouse gas.

Alternative water management practices can reduce the duration of continuous flooding. One established approach, known as alternate wetting and drying, allows irrigation water to recede for controlled periods before the field is flooded again.

Interrupting prolonged flooding can reduce the conditions associated with methane production, although the resulting emissions depend on soil characteristics, temperature, crop management and other factors. The practice must also be managed appropriately to maintain agricultural productivity and avoid undesirable effects associated with changes in water availability.

Proparco identifies the potential for substantial reductions in methane emissions and water consumption through improved water management. Such estimates describe the possible benefits of the agricultural practices, not independently measured outcomes attributable to CarbonFarm’s software or the new investment.

Implementing those techniques across many farms presents a separate problem because project operators need evidence that agreed practices have been followed. Records collected manually may be incomplete or inconsistent, while frequent inspections across geographically dispersed holdings can be expensive.

CarbonFarm uses satellite imagery to monitor field conditions over time, applying machine learning to interpret patterns associated with water management. Those observations can help identify where agricultural practices appear to have changed, reducing reliance on farmers supplying every monitoring record themselves.

However, a remote sensing system must still be assessed against observations collected on the ground. Satellite coverage, image interpretation and field boundaries can introduce uncertainty, particularly where small neighbouring plots are managed differently or conditions are difficult to distinguish reliably.

Emissions estimates depend on models and assumptions

CarbonFarm’s digital monitoring, reporting and verification platform uses information about farming practices to support calculations of greenhouse gas emissions. These calculations compare estimated outcomes under specified management conditions, allowing project developers to assess potential reductions against an established baseline.

A credible baseline must represent what would probably have happened without the intervention. If farmers had already changed their irrigation practices for reasons unrelated to a climate project, treating the entire resulting emissions difference as a new reduction could overstate the environmental benefit attributable to the programme.

The models also need suitable information about local growing conditions. Methane formation is influenced by several interacting processes, and a method calibrated for one region may require further validation before it can be relied upon in another.

Earlier in 2026, CarbonFarm announced a partnership with agricultural technology company Regrow Ag to connect its satellite monitoring with the DNDC process-based emissions model. The collaboration is intended to support more detailed calculations using information about water management, weather and soil conditions.

The approach can give project developers a more structured method of combining observations with emissions estimates, but it does not remove uncertainty from the model. Independent validation and appropriate verification remain necessary where the resulting calculations are used in formal emissions reporting or carbon credit programmes.

That requirement is particularly important when environmental claims have financial consequences. Companies purchasing carbon credits or reporting reductions in agricultural supply chain emissions need confidence that the underlying activities occurred and that the claimed benefits have been calculated using an appropriate methodology.

Carbon finance requires evidence beyond satellite images

Rice decarbonisation programmes may involve farmers, food manufacturers, agricultural commodity buyers and project developers, each of which requires different information about the same activities. A grower needs workable irrigation practices, while a business purchasing rice may need records that can support environmental reporting across its supply chain.

Carbon credits introduce further requirements concerning additionality, verification and the avoidance of double counting. A monitoring platform can contribute evidence that agricultural practices have changed, but it cannot independently guarantee that a particular credit satisfies every requirement of a certification programme.

For projects involving thousands of farmers, the combination of satellite observations and selective field checks could reduce the cost of assembling evidence. The extent of any saving would depend on the reliability of remote measurements, the frequency of required inspections and the methodology used by the project.

The technology may also identify where additional field support is needed. If observations suggest that agreed irrigation practices have not been followed consistently, programme operators can investigate whether farmers face practical constraints involving water access, equipment or local operating conditions.

Such feedback could help agricultural projects improve implementation rather than treating verification solely as an exercise conducted after the growing season. Nevertheless, CarbonFarm has not provided independently verified figures alongside the financing announcement establishing how much its platform reduces monitoring expenditure or increases farmer participation.

Proparco’s contribution comes through its natural capital strategy and is intended to support expansion in emerging economies. CarbonFarm has been developing projects and partnerships across agricultural markets in Asia and elsewhere, where smallholder farming and the costs of verification can limit the commercial viability of emissions reduction programmes.

The wider €7 million financing will support further development of its monitoring system and project activities, with the company seeking to extend its international presence. Its commercial prospects will depend partly on whether agricultural businesses and climate project operators consider the additional evidence sufficiently valuable to justify the cost of using the service.

For environmental reporting, the more demanding test concerns the accuracy of the resulting emissions estimates. Satellite observations can improve visibility of farming practices, while modelling and independent verification determine how confidently those observations can be translated into claimed methane reductions.