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 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.
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