e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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An Intelligent Recommender System for Long View of Egypt's Livestock Production


Research on the Egyptian food security, is a crucial subject of a huge studies and debates. The gap between the Egyptian domestic milk production and consumption is translated into high import costs. Also, all policy analysis and evaluation methods in literature conduct for the current /short-term policies to help policy/decision makers in strategic decisions. The core idea of our research paper is to develop an intelligent recommender system (IRS) to generate more justifiable estimates to evaluate of the suggested long-term policies. In addition, our IRS supports policy/decision makers to reduce the future uncertainty and stimulates the domain experts to anticipate the futures impacts and evaluate their suggested policies. This support deals with providing new levels of awareness situation that may lead to more efficient and effective decision making process. Final, our IRS integrates Trend Impact Analysis, RT-Delphi, Knowledge-Based, Explanation and Mathematical forecasting models to generate large-scale participatory approach to help policy/decision makers for long-term strategic planning. (C) 2014 The Authors. Published by Elsevier B. V.

  • EG
    Data keywords
    • knowledge
    • knowledge based
    Agriculture keywords
    • livestock
    Data topic
    • decision support
    Document type

    Inappropriate format for Document type, expected simple value but got array, please use list format

    Institutions 10 co-publis
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      e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
      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.