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University of Minnesota

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New study is first step in predicting carbon emissions in agriculture

Researchers from the University of Minnesota Twin Cities (UMN) and the University of Illinois Urbana-Champaign (UIUC) have achieved a groundbreaking feat by demonstrating the ability to accurately predict carbon cycles in agroecosystems. Published in Nature Communications, the study marks a significant step towards mitigating climate change impacts through informed agricultural practices. The findings, driven by the collaboration between UMN's National Artificial Intelligence Institute for Climate-Land Interactions and UIUC's Agroecosystem Sustainability Center, pave the way for credible Measurement, Monitoring, Reporting, and Verification (MMRV) of agricultural emissions.
This development aligns with the Biden administration's national strategy to achieve net-zero emissions by 2050, emphasizing the importance of quantifying greenhouse gas emissions across sectors. The $366 million investment from the United States Department of Energy (DOE) bolsters renewable energy infrastructure and addresses energy disparities, particularly in rural areas. By focusing on historically marginalized communities, the initiative aims to promote climate-smart practices while boosting rural economies and creating more affordable and reliable energy sources.
A key innovation driving this progress is the emerging field of Knowledge-Guided Machine Learning (KGML), pioneered by UMN researchers. Combining artificial intelligence (AI) with process-based models, KGML enables accurate and cost-effective monitoring of carbon levels in agroecosystems. Leveraging satellite remote sensing and AI techniques, KGML provides estimates of carbon content in individual fields, fostering trust in carbon markets and supporting the adoption of sustainable practices. Looking ahead, researchers are exploring KGML's potential in forestry management and data assimilation to further enhance its capabilities in addressing environmental challenges.




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  • johnte ndeto

    5 w

    The ability to accurately predict carbon cycles in agroecosystems marks a groundbreaking advancement in understanding and mitigating climate change impacts 💯

    1
    • Chris Ndungu

      7 w

      Kudos to these institutions for their great work! coming up with ways that will help in curbing carbon emissions is really a commendable progress that need a thump up.

      5
      • Kevin

        7 w

        Tertiary institutions in the states are proving to be very helpful in carbon emission curbing research.

        1
        • Rotich Kim

          7 w

          This is great the first step has an impact on environment as well as our agriculture

          6
          Welcome, let's solve the climate crisis together
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