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
AESGT Extension to support Explanation Facilities That Answers "How", and "Why Asking" Types of Questions
Plant protection is one of the most important applications in agricultural domain. An agricultural Expert system Generic Tool (AESGT)  has been developed for rapid generation of plant protection expert system. AESGT provides generic knowledge modeling approaches namely: CommonKADS and Generic Tasks, but This tool doesn't have an explanation facility, which is an important component in any expert system (ES), as is used to L 6 clarify the reasoning process to the users and hence improve the understandability and acceptability of the expert system. This paper describes our experience in augmenting the AESGT tool with "How" and "Why Asking" explanation components for different kind of knowledge representation schemes that the AESGT tool is using. The developed explanation components can deal with different knowledge representation schemes that are commonly used by the modeling approaches mentioned above (e.g., tables, structured tables, hierarchy, constraints and rules), and handle the task level explanation. As well, our explanation components have been successfully implemented and used to augment a real agricultural expert system with different kind of explanations.
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