Explainable AI for UK Agricultural Land Use Decision-making

Agricultural land use dynamics and their associated driving factors represent highly complex systems of flows that are subject to non-linearities, sensitivities, and uncertainties across spatial and temporal scales. This project is developing a novel explainable AI framework that learns the complex spatial and temporal relationships between social, economic and environmental driving factors and historic agricultural land use change. The framework is being designed to be transparent, data-driven and spatially-explicit by using probabilistic inference and explicit “if-then” rules. The explainable AI-rules will be characterised and refined through the framework using machine learning and parameter optimisation. This exploratory study will demonstrate proof-of-concept for selected regions in the UK and provide greater understanding of the state and dynamics of agricultural land use systems and how they can be influenced by policy and management decisions.

For further information:
https://www.ceh.ac.uk/our-science/projects/explainable-ai-uk-agricultural-land-use-decision-making

Funder
UKRI/NERC Strategic Priority Fund Landscape Decisions Programme

Associated members

Paula Harrison

Director
UKCEH - Soils & Land Use

Paula is a Co-Director of CEEDS, Professor of Land and Water Modelling and Principal Natural Capital Scientist at the UK Centre for Ecology &…

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Amber Leeson

Theme Leader
LU - Lancaster Environment Centre

Amber Leeson is Senior Lecturer in Environmental Data Science at Lancaster University, where she is Theme Lead for Environment in the Data Science…

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Gordon Blair

Director
LU - School of Computing and Communications

Gordon is a Distinguished Professor of Distributed Systems in the School of Computing and Communications, Lancaster University, and is Co-Director of…

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Christopher Nemeth

Theme Leader
LU - School of Mathematics and Statistics

Chris Nemeth is a Lecturer in Statistical Learning in the Department of Mathematics and Statistics at Lancaster University. His research is in the…

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Paul Young

Theme Leader
LU - Lancaster Environment Centre

I am an atmospheric and climate scientist, using environmental data science to conduct transdisciplinary research on global change. I collaborate…

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Pete Henrys

Theme Leader
UKCEH - Soils & Land Use

Peter Henrys is a chartered statistician at the UK Centre for Ecology and Hydrology specialising in long term large scale spatial-temporal modelling…

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