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Figure 1: Soil Health Indicator Selection Framework for AI4SoilHealth

Developing a robust soil health indicator selection framework

The EU Soil Health Monitoring Law proposes twelve main soil indicators for reporting soil health. There is a need to ensure that these indicators and other subsequent measures are robust for their purpose.
Figure 1: LUCAS soil samples (Orgiazzi, A., Ballabio, C., Panagos, P., Jones, A., & Fernández- Ugalde, O. (2018). LUCAS Soil, the largest expandable soil dataset for Europe: a review. European Journal of Soil Science, 69(1), 140-153) connected existing and upcoming EO missions (bars indicate approximated temporal coverage). Note that EO data and missions are increasing exponentially with the newest generation EO systems focusing on hyperspectral.

Soil health monitoring through iterative analysis of soil’s past, present, and future

Tom Hengl, Director of the OpenGeoHub foundation, discusses the importance of soil health monitoring and how the AI4SoilHealth project is supporting this endeavor.
soil health monitoring

Revolutionizing agriculture: Unleashing the potential of AI and big data in soil health monitoring

In a recent interview, our editors delved into the world of soil health monitoring and the transformative role played by artificial intelligence (AI), big data, and machine learning, with Mogens H. Greve, Professor and Head of the Soil Section at the Institute of Agroecology, Aarhus University.

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