OUR VISION

AGINFRA is the European research hub and thematic aggregator that catalogues and makes discoverable publications, data sets and software services developed by Horizon 2020 research projects on topics related to agriculture, food and the environment.It is part of the broader vision of the European research e-infrastructure “European Open Science Cloud”, a synergy between OpenAIRE, EUDAT, GEANT, EGI, LIBER.With the integration of big data processing components from projects like the Horizon 2020 BigDataEurope and the FP7 SemaGrow, AGINFRA evolves into a big data analytics capable e-infrastructure for agri-food, to respond to the needs of three (3) adjacent yet not fully connected user communities:

  • H2020 SC1 Health

  • H2020 SC2 Food security and sustainable agriculture

  • H2020 SC5 Climate action and environment

SYNERGY

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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