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
The early warning system for agricultural products quantity security requires storing and analyzing massive agricultural data. These data is of huge amount, heterogeneous, and has a wide-ranging source, thus the system should have an effective data collection mechanism. Based on all these requirements, how to construct an efficient early warning system has become a primary problem. In this paper, we focused our research on the architecture of the early warning system, and divided the system into application system, data collection system, and persistence system. Then we put forward reasonable architecture for each of them based on Web service and data warehouse. Finally, we emphasized on the discussion on the process of acquiring data from ministries based on the use of Web service adaptation technology. The proposed architectures are with fine flexibility and robustness, so they could be effectively used on the construction of the early warning system.
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