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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Fuzzy neural fault detection and isolation


The paper focuses on the application of fuzzy neural techniques in fault detection and isolation of single failures in greenhouses. The objective of this paper is to detect and isolate faults in greenhouses, with emphasis on faults occurred in actuators and sensors. The developed method is based on a comparison between the measured greenhouse climate and the predictions of a reference model. This comparison is performed according to the knowledge-based approach, which ensures robustness of the diagnosis with respect to noise and modeling imperfections. Using the method developed, all the failures investigated are detected and isolated, within a very short time. This approach is not limited to greenhouse applications but there is a broader range of future application, especially in livestock housing, growth chambers and poultry houses.

  • EG
    Data keywords
    • knowledge
    • knowledge based
    Agriculture keywords
    • livestock
    Data topic
    • big data
    • information systems
    • modeling
    • sensors
    Livestock Environment VII, Proceedings
    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.