Agri-food research domain is characterized by a heavy fragmentation of the “resources” of interest (including datasets, computing, and services). Such fragmentation results from a diversity in technologies, standards, working practices, operation contexts, etc. Whenever a community of practice aggregates to tackle a research question it is facing the issue to set up a working environment collecting and making available the resources deemed necessary to digging into the target research question.

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on 29 Nov 2019 12:00 AM

As a globally leading research organization in agri-food, one of the objectives of Wageningen UR is to improve food and food production and to contribute to global food security and the UN Sustainable Development Goals.  With more, and more detailed data becoming available, data science has become a core instrument in working towards these objectives.

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on 22 Nov 2019 12:00 AM

How can one explain the way that plants grow? Which are all the parameters affecting such a process? What is the role of photosynthesis? Which environmental conditions affect growth? Is there a model that can incorporate all these complex parameters and tell us how a plant is going to grow every day?

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on 22 Nov 2019 12:00 AM

What if all European research could be made available to everyone, for free? How about making all scientific outcomes that EU taxpayers fund a common, shared resource that may fuel innovation from the public and private sector? Is it possible to connect all the dots in a way that will create a cloud for research data in Europe?

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on 20 Nov 2019 12:00 AM
Alt

Data visualization employs the visual perception of observers, be it researchers, scientists, business analysts and in general users, to facilitate the delivery and extraction of knowledge relying on groups of data. It is defined as ‘the representation and presentation of data to facilitate understanding’ (Kirk, 2016: 19) and it can greatly assist in the quick detection of behaviors, patterns, trends, boundaries, accuracy, outliers, etc.

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on 14 Nov 2019 12:00 AM
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ABOUT THE PROJECT

OUR COMMUNITIES

The selected AGINFRA+ Use Cases will illustrate the benefits of applying the Science as a Service approach to pressing research questions from the corresponding research communities.

AGROCLIMATIC AND ECONOMIC MODELLING

This community focuses on use cases aim to support the workflow of researchers, intermediaries and business analysts working on crop modelling, crop phenology estimation and yield forecasting, as well as related activities in the area of policy and decision support in food security, farm management advice and related activities.

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FOOD SAFETY RISK ASSESSMENT

This community focuses on use cases to support scientists in the multidisciplinary field of risk assessment and emerging risk identification as there is currently a strong need to create new technology-supported solutions that facilitate the knowledge integration processes relevant for these tasks.

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FOOD SECURITY

This community focuses on use cases related to the high-throughput phenotyping large amount of data which need to be analyzed immediately for decision making. This aims to support phenomics researchers to select plant species and varieties which are the most adapted to specific environments and to global changes.

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