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
A decision_support System for Foresight and Potentials in Rural Areas under Regional Climate Change
Climate change means not only an increase of the mean temperature, but also a change in atmospheric CO2 content and in precipitation as well as an increase of extreme weather events such as an increase of dry periods in spring and summer, thunderstorms with intensive rains, or heavy rain falls in late summer and winter. Climate change directly influences the water availability in a region and indirectly ecosystems functions and agricultural production. A computer information system can help to plan human activities to compensate for the effects of climate change. Such a system ought to provide information about the estimated local weather, the effects on the water balance, effects on the agricultural crop production, the development of ecosystems, etc. This information should be provided in such a way that it can be used not only to evaluate the traditional agricultural production but also the impacts of new production techniques such as energy production using wind power, solar radiation or energy crops. These new production methods together with the use of genetically modified organism (GMOs) bring a secondary effect to the region that influences the economic situation of the farmers, i.e. an influence on the social development on the one hand and on the other hand changes in ecosystem services. A decision_support system has to take account of both effects. The system design and first applications were described and discussed.
Inappropriate format for Document type, expected simple value but got array, please use list format