Objectives of the service
The agrifood sector contributes one-third of global greenhouse gas emissions, majority of these being Scope 3 in nature. Scope 3 emissions are the most difficult to manage and remove as they involve on-farm activities in the agrifood value chain, which are not necessarily under the control of agrifood companies. As a result, most of the agrifood companies have yet to translate their Scope 3 declarations into action. Effectively, this means that the industry has not yet found a scalable plan for what constitutes about 20% of global emissions. Regenerative agriculture presents a promising opportunity for Scope 3 carbon removals for the sector through carbon farming, whereby companies can achieve their Scope 3 removal targets and generate extra income for farmers through carbon removals at the same time. The monitoring of soil carbon stocks however is the bottleneck that prevents carbon farming at scale, due to high costs associated with it, as currently more than 50% of the total soil carbon project costs are spent on monitoring. This is where CinSOIL comes in–providing an earth-observation-based soil carbon monitoring tool with customised models for different regenerative agricultural practices, complemented with a decision support system providing a tailored value chain decarbonisation (insetting) pathway.
Users and their needs
The tool is offered as software as a service (SaaS) to companies in the agrifood sector that are working on soil carbon projects. Our service enables the users to monitor soil carbon stocks at a fraction of their current soil monitoring costs while also unlocking soil carbon revenues. The use cases for such companies could include one or more from the following:
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Reducing soil monitoring costs.
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Improving market-share through value chain carbon neutrality.
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Reducing costs associated with traceability and monitoring regenerative transition.
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Reducing their Scope 3 carbon footprint through increased soil carbon sequestration.
Currently, conversations are ongoing with potential customers in many EU countries and companies based in South Asia and Southeast Asia, however the service is available to users from other regions as well.
Service/ system concept
The service offered by CinSOIL is a remote sensing-based soil (and crop) monitoring system that enables field-level tracking of Soil Organic Carbon (SOC) stocks across agricultural land. Designed primarily for agrifood companies and carbon project developers, the service transforms Earth Observation (EO) data into compliance-grade carbon removal estimates, aligned with EU policies such as the CRCF and the Green Claims Directive. The service will enable:
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Baseline establishment of SOC levels for targeted fields,
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Seasonal or annual updates to track changes in SOC,
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Scenario simulations based on intervention types (e.g. biochar application),
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Dashboards and compliance-ready reporting templates aligned with SBTi FLAG, ISO 14064, ISO 14068, and EU CRCF,
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API-based integration with clients’ ESG reporting systems or carbon registries.
The users will access results via four main channels: A web-based dashboard (CinSOIL Cloud), exportable reports (CSV, PDF), automated alerts and sustainability KPIs and finally an Optional API integration.
Space Added Value
Space data enables consistent, low-cost monitoring across large geographies compared to manual soil sampling-based soil carbon estimation, which is cost and time intensive, hence not scalable. This is particularly valuable for carbon project development where on one hand the implementation of regenerative practices and land use change can be monitored and on the other hand, costs associated with measurement and monitoring of soil carbon sequestration can be significantly reduced. Furthermore, other relevant soil and crop health parameters can be monitored through the use of multispectral data and hyperspectral data. The specific space assets involved include high-resolution multispectral data from Sentinel-2 (Copernicus) and Landsat, along with hyperspectral imagery from EnMAP. These are integrated with commercial EO sources (e.g. EUSI) to generate consistent, temporally rich SOC estimates. AI models will be trained and validated using these EO datasets, combined with environmental and ground-truth data, to deliver farm-level monitoring tools compliant with CRCF and ISO standards. CinSOIL leverages these space assets to offer a service that goes beyond monitoring, by offering a decision support system that takes into account both the historical land use patterns and the future perspectives of the land and company in question.
Current Status
The Kick-start activity was completed in April 2026. During the course of the activity, CinSOIL engaged with nearly 100 companies and farmer organisations from the agrifood sector, conducting interviews, product demonstrations, and gathering insights that fed into the further development of the product. Out of these, 10 companies expressed interest in a potential commercial project, and one commercial agreement was signed by the completion of the Kick-start activity, with three more proposals under consideration.
The screengrab shows the recent dashboard (currently being overhauled) one of the live features of the tool that provides a hotspot analysis for the landowner/project owner to detect possible crop and soil health anomalies.
Prime Contractor(s)
