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
The fishing industry not only acts as foreign exchange earner but also plays an important role in China's economy. But with the development of technology and liberalization of international trade, the foreign countries adopted in succession trade barriers to limit China's fishery product export, which had make China's fishery product export disproportionated with fishery products production. By the literature analysis, we find practical research aiming at aquatic products export trade is in shortage greatly. So it is necessary to provide risk management for export trade of aquatic products. A decision_support system for risk management in aquatic products export trade had been developed by China Agricultural University. Based on questionnaire and interviews, we analyze the decision problems, user needs and the difficulties involved in developing the aquatic products risk management system. The system architecture and its components, such as database, knowledge base and model base are described. At last we discussed on problems we had encountered during development and promotion.
Inappropriate format for Document type, expected simple value but got array, please use list format