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
High performance processing of agricultural data in the grid environment is a complex and hardly problem, mainly due to agricultural data's geographic distribution, heterogeneity, variety. A layered software architecture agriculture of agricultural data grid is designed. Agricultural meta-data model based spatio-temporal ontology, spatial clustering and mapping for agricultural data, information cooperation, role-based access control are researched The application environment of agricultural data grid node is constructed. Through the test experiment, finally indicated that, high performance computing capacity is provided with the agricultural data grid system.
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