e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

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.

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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.

  • US
  • KE
  • ET
  • Texas_A&M_Univ_College_Station (US)
Data keywords
  • knowledge
  • information system
Agriculture keywords
  • livestock
Data topic
  • information systems
  • sensors
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
  • Texas_A&M_Univ_College_Station (US)
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e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.