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:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
With the rapid growth of information resources and increasing individual demands of farmers, the problem of how to organize complicated information effectively in agricultural risk management and provide efficient information services has become more and more important. Research on architecture of agricultural risk-oriented domain ontology-based information integrated service is studied. The ontology molecule theory, which is a new theory in ontology field, is introduced and utilized in this paper. Based on the ontology molecule theory, the paper builds a frame of the agricultural risk ontology and proposes the architecture and implementation of the agricultural risk-oriented information integrated service. At the end, this article points out that the future research is to establish an ontology-based information service system for the agricultural risk management, in order to better predict the agricultural risk and reduce its effect to farmers.
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