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Publication of The AGINFRAplus Digital Science Recommendations Discussion Paper
By admin
on 10 Feb 2020 12:00 AM
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The AGINFRAplus Digital Science Recommendations Discussion Paper is out!

Edited by Agroknow with contributions from INRAE, Wageningen University & Research, Stampa Cnr, National & Kapodistrian University of Athens, Pensoft Publishers, OpenAIRE, Metrofood-RI, Syngenta, the Research Infrastructure for Food, Nutrition and Health (FNH-RI), the Chinese Academy of Agricultural Sciences (CAAS), and the University of Guelph.

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ABOUT THE PROJECT

AGINFRA+ aims to exploit core e-infrastructures such as EGI.eu, OpenAIRE, EUDAT and D4Science, towards the evolution of the AGINFRA data infrastructure, so as to provide a sustainable channel addressing adjacent but not fully connected user communities around Agriculture and Food.

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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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