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
Submitted to the combination of a growing anthropogenic pressure, pollution and the increase of health required standards, the costal and ponds' ecosystems are endangered involving the decline of traditional sea activities. In this paper we present a methodology to build a distributed artificial intelligent based model dedicated to interactions between watershed and activities in coastal areas. Organizing the coastal systems into a hierarchy, following a multi-agents approach, we build a generic model of each system's stakeholder. We focus on modeling the influences of the watershed activities on sea farming. Using a geographic information system, we explicit how to take advantages of the spatiotemporal ground data to fit the simulations to the specificities of each targeted site.
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