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.

You can access and play with the graphs:

Discover all records
Home page


Models of Agriculture Risk Management with Agriculture Ontology


with economic globalization and market-oriented agricultural economy, the impact factors of agricultural risks become more complicated. As a variety of factors intertwine together, the traditional Expert System is difficult to identify and manage agricultural risks, which greatly hampers the process of agricultural risk management. To overcome this problem, we introduce the ontology theory. By constructing agricultural risk ontology and agricultural risk strategy ontology, we can resolve the problem of agricultural risk's description and identification, and improve the efficiency and reliability of agricultural risk management. In this paper, we introduce the domain ontology theory to the field of agricultural risk management, and describe the basic process of the domain ontology-based agricultural risk management. And then, we propose a framework of ontology-based agricultural risk management and specifically introduce each module in the framework. Meanwhile, based on the method of building ontology, this article constructs the basic frame of the agricultural risk ontology. Finally, to take the drought risk for example, the paper analyses the implementation process and technologies of the domain ontology-based agricultural risk management.

  • CN
  • Nanchang_Univ_NCU (CN)
Data keywords
  • ontology
Agriculture keywords
  • agriculture
Data topic
  • modeling
  • semantics
Document type

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

Institutions 10 co-publis
    Powered by Lodex 8.20.3
    logo commission europeenne
    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.