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
EIS Pesticides: An environmental information system to characterize agricultural activities and calculate agro-environmental indicators at embedded watershed scales
The French "Ecophyto 2018" program calls for a 50% reduction in pesticide use. Local authorities are required to design cost-effective measures to minimize the impact of farmers' pesticides on water resources. A successful implementation of these new measures can only be achieved through a better understanding of the interactions between water, land use and the environment. One way of doing this is to calculate pesticide pressure and agro-environmental indicators (AEIs). However, this approach requires an effective information system that can process both the characteristics of the river basin and the agricultural activities using at least two embedded scales: the scale of the small agricultural catchment for action by farmers and the scale of a larger watershed for public decision making. To this end, an environmental information system (EIS Pesticide) for pesticide issues was created using spatial data warehouse technology. This system allowed qualifying agricultural activities along with river basin characteristics. Specific spatial objects were designed to characterize practices at the relevant scales. The axes of analysis allowed providing results at different levels of integration, for different dimensions e.g. time, sprayed surface area, or pesticide type. The system was tested using datasets collected in the Charente watershed and its sub-basins and calculated pesticide pressure indicators on demand for each aggregation level defined. (C) 2013 Elsevier Ltd. All rights reserved.
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