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
Development of a computer-based extension support tool for diagnosing problems in sweetpotato crops
An interactive key for diagnosing problems in sweetpotato (Ipomoea batatas) has been developed through an international collaboration between The University of Queensland (UQ), the International Potato Center (CIP) and the Philippines Root-crops Research Institute (Philrootcrops), with funding from the Australian Centre for International Agricultural Research (ACIAR), who will publish the key on CD-ROM. A network of international experts has contributed information on each of the 73 problem causes covered by the key, which include insect and nematode pests, fungal bacterial and viral pathogens, and nutritional disorders. The key is based on Lucid (TM) software, developed by UQ's Centre for Biological Information Technology (CBIT). It utilises a matrix key, which allows the users to select whichever symptoms or signs they observe on a specimen, to reduce the number of possible causes. This is distinct from a dichotomous or pathway key, which requires choices to be made in a defined order. Each problem cause is described in an illustrated fact sheet, which can be accessed from the key or from the CD's home page. Also available from the home page are informative sheets on sweetpotato biology and crop management. Following prototype development, the key was field tested in a number of countries with various user groups, including extension workers, students and researchers.
Inappropriate format for Document type, expected simple value but got array, please use list format