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SCALE

The Scalable Solution for Commercial Field-Level CO₂ Flux and Carbon Credit Accounting

PROJECT INFO:

DURATION: 
2025-2027
 
FUNDING:
The Mission Partnership 
 

PARTNERS:
Aarhus University 
Aerial Tools ApS 
University of Illinois Urbana-Champaign 
Habiterre

CHALLENGE

Lack of scalable, accurate measurement of CO₂ fluxes in cropland

TECHNOLOGY

Integrated sensing, modelling and AI for field-level carbon tracking

POTENTIAL

Enables reliable carbon accounting and climate-smart farming decisions

SCALE is developing a groundbreaking framework for measuring carbon emissions and carbon sequestration at the field level. By combining field data, satellite observations, advanced modelling, and artificial intelligence, the project aims to deliver accurate and scalable carbon accounting that can support climate-smart farming, transparent carbon markets, and more effective climate action across agriculture.

Goal

  • Develop a scalable monitoring and modeling framework to track field-level carbon dynamics for Danish cropland.
  • Improve measuring, monitoring, reporting, and verification (MMRV) of cropland CO₂ fluxes for both organic and mineral soil fields.
  • Support accurate carbon credit accounting for farmers adopting climate-smart management to improve crop production and environmental sustainability.

Plan

  • Synthesize field measurement data related to cropland carbon dynamics across Denmark.
  • Develop cross-scale sensing technologies to quantify agroecosystem variables.
  • Utilize agroecosystem models to simulate carbon budgets under varying environmental and man-agement conditions.
  • Implement model-data fusion via advanced knowledge-guided machine learning to integrate remote sensing and agroecosystem modeling to accurately quantify carbon budgets.
  • Conduct scenario analyses to assess mitigation strategies for reducing greenhouse gas emissions and increasing carbon sequestration.

Expected results

  • A scalable framework for monitoring CO₂ emissions and sequestration in Danish croplands.
  • High-resolution estimates of field-level carbon fluxes to improve carbon credit accounting.
  • A decision-support tool for policymakers and farmers to optimize climate-smart agriculture practices.
  • Scientific advancements in knowledge-guided machine learning for agroecosystem sensing and modeling.
PARTNERS:
Reach out to learn more about your funding opportunities:

Looking for funding opportunities for your innovation project?

The project is part of the Mission Partnership, and the funding is provided by Innovation Fund Denmark.

We continuously open new calls and programmes that support innovation within food and bioresources.

Get more information about the Mission Partnership See other funding opportunities
Mette Kallestrup Spring

Mette Kallestrup Spring

Program Manager (mission partnership)
mesp@foodbiocluster.dk
2181 8858
Linkedin

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