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
Every expert system must continuously evolve, or it will become obsolete. This paper explores a successive testing process for evolutionary expert systems. The proposed test process is based upon applying software engineering model for overall life cycle of test process. The proposed testing process has two major complementary components: testing and maintenance. Each plays an important role in ensuring the quality of the developed expert systems. The characteristics of each phase are described in terms of testing capability and goals. The present work reports an accumulated experience gained through many years of an iterative process of developing, evaluating, deploying, and updating several expert system using CommonKADS knowledge engineering methodology at the agricultural domain at the Central Laboratory for Agricultural Expert systems (CLAES), Egypt.
Inappropriate format for Document type, expected simple value but got array, please use list format