CYBELE aims to ensure that the stakeholders have a secure access to large-scale datasets and have the processing power available to analyse and process this data, generate value and extract useful insights. The project is coordinated by the Waterford Institute of Technology (WIT) and involving 31 international partners.
Fostering Precision Agriculture and Livestock Farming through secure access to large-scale HPC-enabled virtual industrial experimentation environment empowering scalable Big Data analytics
In agroforestry systems, the agricultural component and any expansion of activities (e.g. receiving groups) provides profits in the short term. The wood from the trees (only) provides additional profit in the long term.
16 European research centers, including ILVO, are launching a large-scale investigation over the next 4 years to map out the fundamental and more practical causes and consequences of stress in laying hens throughout their lives.
Transdisciplinarity and multiple scale levels
The systems approach implies that possible agroecology choices are assessed at different levels of scale (plot, farm, region, global), as well as for their social, economic, and ecological impact. This systems approach, therefore, requires the integration of knowledge from multiple disciplines.
ILVO will also contribute to the impact assesment of the network and the research results on the realisation of a more sustainable food production and consumption; and will collaborate intensively to build up this network on the national and international scale.Relevantie/ValorisatieThis network contributes to the streamlining of international research
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