Digital Twins
Digital Twins are virtual versions of both living and non-living organisms and objects such as cells, plants, animals, humans and ecosystems, and inanimate objects such as food chains and supply chains. With Digital Twin projects, WUR strives to achieve significant scientific and societal breakthroughs in its domain.
Digital Twins can be used to describe, analyse and simulate processes and organisms through data-integration, artificial intelligence (AI) and machine learning. This not only allows us to better understand, describe and analyse reality, it also enables us to predict the future of these objects more accurately.
Advantages of digital twins
One of the benefits of a digital twin in comparison to a traditional crop model is that the twin model is continuously updated according to the real-time, actual circumstances in the greenhouse. Thus, the model’s accuracy is increased continuously.
Start 3 digital twin projects
Wageningen University & Research has launched its first 3 digital twin projects in January 2020:
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Virtual tomato crops
Jochem Evers and his team are developing a digital twin of a tomato crop in a greenhouse: a 3D simulation model that is fed in real-time with sensor... -
Me, my diet and I
Lydia Afman and her multidisciplinary team are building a personalised digital twin to predict the rise in blood sugar (glucose), but especially the...
Collaboration is of primary importance in this investment programme, not in the least because a successful digital twin requires expertise from different disciplines.
Selected projects:
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KB-41-002-005 - Digital Future Farm (DFF)
This digital twin represents the nitrogen cycle of an arable or a dairy farm. It comprises of existing process-based and new data-driven models fed... -
KB-41-002-007 - Digital Tomato Twins
Thanks to the development of new glasshouse technologies, agronomic methods and new varieties, tomato production in the Netherlands has greatly... -
KB-41-003-007 - Responsible data practices for Digital Twin development in agriculture and life sciences
This project will evaluate if data retrieved from DT can enable the realisation of the health capabilities, whether they hinder them, and what is the... -
KB-41-003-008 - Data assimilation in the Digital Future Farm: from prototypes to operational use
The Digital Future Farm (DFF) is one of the projects running within the framework of the Wageningen Digital Twins. -
KB-41-003-009 - Optimization for Control by DTs
A digital twin provides a digital model of a real-world, physical system that is updated in real-time. A motivation for building such a digital... -
KB-41-003-010 - Resource bias: a study of choice in the data collection for Digital Twins
It is often suggested that data collection is the mining of a natural resource. But data are not lying around, waiting to be collected. Collecting... -
KB-41-003-011 - Effective visualisation for Digital Twins
A Digital Twin represents the current status of a physical, dynamic, entity that provides explicit and useful knowledge for decision making. To... -
KB-41-003-012 - Exploring methodological aspects for biological Digital Twins
In the Exploratory Project “Digital Twins & Metadata” it is investigated how metadata can be defined for a Digital Twin (DT) like for... -
KB-41-004-001 - Platform Inclusiveness
The Platform Inclusiveness will develop knowledge, methodologies and supporting activities to address inclusiveness aspects for the flagship project... -
KB-41-004-002 - Platform Methodology
For the investment theme Digital Twins (DT), the platform set up to develop knowledge and provide support common topics of a more technical nature....