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
It is of great importance and an urgent demand to enable operational and near real-time monitoring and analysis of global agricultural drought at desirable spatial and temporal resolutions. Traditional approaches and existing systems are not able to meet the demand because of big-data and geoprocessing-modeling challenges. The latest advances in Web service, geospatial interoperability and cyberinfrastructure technologies and the availability of near real-time global remote sensing data have shown potential to address the challenges and meet the demand. This paper presents a Web service approach to building the Global Agricultural Drought Monitoring and Forecasting System (GADMFS), an open, interoperable, and on-demand geospatial Web service system, for meeting the demand. The big-data and geoprocessing-modeling issues in providing complete agricultural drought information are resolved in GADMFS through improved data-, service- and system-level interoperability and servability. GADMFS is able to overcome major limitations of current drought information systems in the world and better support decision making with improved global agricultural drought data and information dissemination and analysis services.
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