Data-driven discoveries in a changing climate (KB-46)
With Wageningen climate solutions, we at WUR are jointly developing opportunities to improve local quality of life. The fact that WUR is a world-leading research organisation is because we successfully integrate fundamental and applied research from different perspectives. This interdisciplinary approach to problems is known as the 'Wageningen approach'.
Exploring the opportunities offered by AI for data-driven discovery to better understand climate change impacts and develop new solutions to adapt to a changing climate.
Towards climate smart systems
Investment theme D3-C2 aims to advance Wageningen Climate Solutions by exploring the potential of AI for data-driven discovery. In this way, we aim to better understand the effects of climate change and develop new solutions to adapt to a changing climate.
Together, create climate smart systems and map them to nature-based solutions. In doing so, we increase climate resilience and work together across disciplines. In addition, bringing together the vast amounts of data available at WUR, and from our partners, is of great importance. In doing so, we are especially looking at the effects of climate change on different socio-ecological systems.
Projecten:
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KB-46-005-018 - Machine learning to identify good practices with Nature-based Solutions
This study aims to support scaling of Nature-based Solutions (NbS) for adaptation by using machine learning tools. These tools can improve the... -
KB-46-005-020 - Quantification of climate impact for breeding and decision support at dairy farms
We develop machine learning models that predict the sensitivity of individual cows to heat stress based on their behaviour. Behavioural sensor data,...