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 applied system of space monitoring of agricultural resources has been developed to the benefit of manufacturers of agricultural products and bodies of state administration in the field of agricultural production. The space monitoring system implements the full technological cycle of processing of data of remote Earth sensing from space, generates the applied agrarian services and grants access to information to the end user through the multipurpose web interface (Geoportal). From user's point of view the system is intuitively simple mean of visualization of the applied agrarian services and attributive information connected with them. The proposed thematic services are based on the complex use of spectral data from the freeware images from Terra Modis, Landsat 8, and also Deimos-1 and RapidEye satellites. Processing of remote sensing data in order to create thematic services is based on the methods of statistical, cluster and factor analysis, methods of pattern recognition, neural and network analysis methods.
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