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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Using GIS and Knowledge-Based System for Agricultural Land Drainage Planning


Agricultural Land Drainage Planning is a difficult and complex task, which relies heavily on varies of factors (e. g. Engineering parameters, Environment parameters, drainage theories, the knowledge of a Agricultural Land Drainage Planning expert.....). Many packages are implemented to do this task. Nevertheless, its procedure still requires the involvement of experts to choose the right parameters and model. In this paper, we present a tool developed using knowledge-based system and a Geographic Information System (GIS) approaches for planning Agricultural Land Drainage. The proposed approach combines heuristic rules obtained from domain experts, to perform essential tasks in Agricultural Land Drainage. Our Tool includes a knowledge-based system, an elaborate interface, a geodatabase and a Geographic Information System GIS. The knowledge-based is represented in "Production Rules". The inference engine is a backward chaining. The GIS is represented by ARCVIEW, ARC/INFO[1]. The proposed tool has been tested using a case study for the District of delta and middle Egypt. Results demonstrate the effectiveness and flexibility of the proposed methodology in tackling the important problem of Agricultural Land Drainage planning.

  • EG
    Data keywords
    • knowledge
    • knowledge based
    • information system
    Agriculture keywords
    • agriculture
    Data topic
    • information systems
    • semantics
    • sensors
    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.