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 advent of the era of cloud, big data technologies have attracted more and more attention. In the agricultural domain scientists have encountered restrictions and obstacles in the data-extensive analysis domain such as meteorological data processing, bio-genome analysis, food security analysis, because of the huge data set. The paper proposes a big data procession technology hierarchy of agricultural information system from the following aspects: gathering, store, analysis and visualization of agricultural big data. An agricultural information system will be discussed based on large data technology, and it shows that the method is effective.
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