Environmental DNA (eDNA) is revolutionising how we study biodiversity, providing a non-invasive way to detect organisms from the genetic material they leave behind. In soil, eDNA can originate from bacteria, archaea, fungi, protists, plants, and even animals, offering a snapshot of ecosystem diversity and health. But how do we extract and analyse eDNA from something as complex as soil?
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Data from the LUCAS soil database has revealed a critical warning: 60-70%...
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In December AI4SoilHealth was in Budapest to learn about the latest agricultural...
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In September, Grant Campbell from the University of Aberdeen attended a meeting...
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Interview with Anna Krzywoszynska, Associate Professor of Transdisciplinary Human-Environment Relations (University of Oulu)...
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In this blog, Fatemeh Hateffard and Thomas Gumbricht from Stockholm University tell...
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Measuring soil health across a large continent provides us with a challenge....
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AI4SoilHealth is at the forefront of working with stakeholders to co-design, create and harness digital technology to support pan European Soil Mission efforts. The infrastructure will be used for assessing, and continuously monitoring, soil health metrics. We caught up with David Robinson from the UK Centre for Ecology & Hydrology to find out more about the scientific challenges that AI4SoilHealth is working on to do this and how the project intends to change the way soil health is measured across Europe.
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One part of the AI 4 Soil Health project is looking to develop common methodologies for in-situ sampling, so that data coming from the different sensors and other tools can be used together.
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A new Horizon Europe funded project aims to create a digital platform compiled using Artificial Intelligence (AI) to provide a comprehensive assessment of soil health across Europe to support the Commission’s objective of transitioning towards healthy soils by 2030.
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