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
Spatial constraint modelling with a GIS extension of UML and OCL: Application to agricultural information systems
In numerous cases, the modelling of Geographical Information Systems (GIS) is a difficult task. This fact is partially due to the natural complexity of spatial types and invariants. Based on this observation, the present paper aims at specializing the Unified Modelling Language (UML) and its associated Object Constraint Language (OCL) in order to facilitate the design of GIS. A complete study of the proposed extensions will be presented as well as several in-depth experiments in the domain of agricultural information systems.
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