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
Livestock early warning information resource in the Horn of Africa - Forage and livestock marketing information analysis and forecasts
The Livestock Early Warning System (LEWS) project, now transformed into the Livestock Information Network and Knowledge System (LINKS), of the Global Livestock Collaborative Research Support Program led by Texas A&M University has developed robust forage monitoring and livestock market information systems covering the eastern African region. The two systems systematically and continuously collect and deliver timely information on forage supplies, and forecast livestock market prices and volume trends to stakeholders. The analysis and the suite of products generated are intended to enable pastoral communities to respond to crises and thus protect livelihoods, communities' assets and their ability to subsist in harsh environments, by triggering appropriate and timely responses. This article describes the development methodology, implementation structure and application of these early warning products.
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