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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Autonomous tracing system for backward design in food supply chain


Food safety and quality issues generally occur due to incurring problem of food products handling processing. It led to a growing interest in developing systems for food supply chain traceability. At present, there are lacking in modeling the traceability process for developing "autonomous" traceability system in comparative to "automation" and little research has been conducted where the product problem information related to the cause of problem, the responsibility attribution simultaneously. This paper design the autonomous agent-based tracing system based on IoT (intemet of things) architecture using FCM (fuzzy cognitive maps) and fuzzy rule method for product usage life cycle. The case study for agriculture food product is discussed. It aimed to simulating food tracing complex system with imprecise relationships while quantifying the performance impact of backward design process efficiency using the total effects algorithm. (C) 2014 Elsevier Ltd. All rights reserved.

  • CN
    Data keywords
    • internet of things
    Agriculture keywords
    • supply chain
    • agriculture
    Data topic
    • information systems
    • modeling
    • 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.