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SUMMARY:Predicting the future of soil health with AI
DESCRIPTION:Join the third session in the AI 4 Soil Health project webinar series “Envisioning the future of soil health monitoring”. \nBook your ticket via Eventbrite  \nPredicting the future of soil health with AI\n\n\nPart of the “Envisioning the future of soil health monitoring” series for AI4SoilHealth\, hosted by Soil Association. \nWhat role can AI play in assessing soil degradation\, mapping vulnerabilities\, and identifying the drivers of soil health decline? Can machine learning and process-based models provide reliable insights into Soil organic carbon (SOC) dynamics? And how can indicator frameworks be integrated into modelling projects to strengthen our ability to track and safeguard soil health? \nSign up to this free webinar to join leading experts to discuss these topics and learn more about the future of soil science. \nIn this webinar we are joined by AI 4 Soil Health project partners and a member of the European Commission to discuss AI\, modelling and soil health indicator frameworks. The panel will discuss what these methods mean for the future of soil health\, explore challenges and opportunities\, and share lessons learned from applying models across Europe. \nWe are joined by:\n\nProf. David Robinson\, Principal Research Scientist\, UK Centre for Ecology & Hydrology (UKCEH)\n\n\nDr. Emanuele Lugato\, Project-Scientific Officer\, European Commission Joint Research Centre (JRC)\n\n\nDr. Mehdi Afshar\, Research Associate\, Hamburg University of Technology (TUHH)\n\nWhat to expect\n\nJoin AI 4 Soil Health Project leaders David Robinson\, UKCEH\, and Mehdi Afshar\, TUHH. David will introduce a range of indicator frameworks\, questioning how the framing of key terms such as ‘quality’ and ‘soil health’ can influence choices in monitoring and modelling projects. Mehdi will share insights from current research into using predictive modelling for mapping soil vulnerability to degradation across Europe.\nHear from Emanuele Lugato\, European Commission’s JRC\, about lessons learned in predicting Soil Organic Carbon (SOC) with artificial intelligence and process-based models. He will describe some concrete published studies\, the issues encountered\, and the pros and cons of the different methodologies.\n\n\nAsk your questions to David\, Emanuele and Mehdi through a live Q&A.\n\nThis webinar series for AI 4 Soil Health explores how AI\, open data and new research is transforming soil health monitoring and management across Europe. \nFind out more about the AI 4 Soil Health project: https://ai4soilhealth.eu/about \n\n\n\n\nWhat is the relevance of soil monitoring and soil health predictive models for farmers\, researchers and policy makers?\nThe EU “Soil Monitoring and Resilience Directive”\, agreed in April 2025\, is the first of its kind to set legal standards for assessing and improving soil health across member states. Its goal is for all EU soils to reach a healthy condition by 2050\, supporting broader environmental targets like the European Green Deal. \nBut why is soil monitoring making its way up the agenda? \n\nAcross the EU and UK\, significant areas of soil are under pressure – everything from compaction to loss of organic matter – and the effects aren’t always visible until productivity declines or flooding worsens.\nSoil biology\, encompassing microorganisms like bacteria and fungi\, is fundamental to nutrient cycling\, organic matter decomposition\, and overall soil fertility.\nRobust soil health data\, derived from consistent measurement practices\, provides policymakers with the evidence. This evidence is needed to create stronger\, more targeted agricultural and environmental policies that are inclusive of soil and ultimately deliver meaningful impact for people\, food\, and the environment.\n\nWho should attend?\n\nPolicy makers and civil servants who are engaged in soil-related strategies\, projects\, or regulatory initiatives.\n\n\nResearch leaders and scientific experts involved in soil monitoring programmes\, Living Labs and the development of research and innovation policy recommendations.\n\n\nPractitioners and innovators working on soil health and using or testing new monitoring approaches.\n\n\nStakeholders from civil society\, NGOs\, and grassroots movements with an active interest in soil health.\n\n\nPrivate sector representatives contributing to or benefiting from soil health innovations.
URL:https://ai4soilhealth.eu/event/predicting-the-future-of-soil-health-with-ai/
LOCATION:Online
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