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
Nowadays, agricultural information systems that deal with environmental monitoring, geographic information, atmospheric conditions, market statistics, among others, have been developed. Although these systems assist the decision making process, their potential is still limited, because the advantages of integrating them have been left aside. How such systems interact and how to obtain a general consistent view of the information from these different sources is a complex challenge. By achieving this integration, higher productivity at lower production costs will be promoted. Herein, we make use of a multi-agent system approach enhanced with ontologies to integrate such systems. We propose an interaction framework based on social norms, where each agent implements a web service, which provides access to an agricultural information system.
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