INRA is a public research organisation ranked 2nd in the world and 1st in Europe for publications in agricultural, plant and animal sciences. The missions of INRA are to: (i) serve the public interest by maintaining a balance between excellence of research and the demands of society; (ii) produce and disseminate scientific knowledge and innovation, particularly in the fields of agriculture, food and environment; (iii) contribute to the expertise, training, promotion of scientific and technical culture and science/society debate. INRA is also participating actively in the open science movement with an incentive open access policy and involvement in citizen science projects.
INRA takes part in the project primarily through the Department of Scientific Information (DIST) which works transversely to support INRA’s scientific strategy and provide innovative services within the areas of data, information and knowledge management and sharing. DIST develops tools and services to support research activities, and promote open access to scientific and technical information, both publications and data. It also involves researchers from scientific divisions.
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.
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.
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.
AGINFRA+ - Accelerating user-driven e-infrastructure innovation in Food & Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 731001.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein..