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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Spatio-temporal enabled urban decision-making process modeling and visualization under the cyber-physical environment


Urban management is increasingly dependent on the construction of cyber-physical systems, which have been widely deployed in multiple fields, including agriculture, transportation, and health care. Cyber-physical systems provide a large volume of big sensory data. Thus, the application of big data for urban emergency decision-making has become a challenge. Traditional decision-making models are unable to overcome several technical problems, including spatio-temporal information support and access to real-time service for disaster management and emergency response. In this paper, we propose a spatio-temporal enabled urban decision-making process modeling method in the cyber-physical environment and discuss the development off our basic metadata components, the definition of eleven-tuple information description structure. A prototype system is designed for modeling registering, management, visualization, and other functions. Decision-making processes are implemented as composite process chains through three phases, i.e., decision-making process modeling, instantiation of the decision-making process chain and execution of the decision-making process chain. For application to gas leak events, the decision-making process is executed to confirm the feasibility of the proposed decision-making process modeling method and the flexibility of the eleven-tuple information structure.

  • CN
  • Wuhan_Univ (CN)
Data keywords
  • big data
Agriculture keywords
  • agriculture
Data topic
  • modeling
  • decision support
Document type

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

Institutions 10 co-publis
  • Wuhan_Univ (CN)
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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.