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
According to actual of cow epidemic disease diagnosis, bidirectional reasoning scheme based on the symptom both characterization and autopsy is proposed, which is based on inexact reasoning of certainty factor. The process of both construction the knowledge database for cow epidemic disease diagnosis and the inexact reasoning based on certainty factor are amplified. A web-based system on the platform of Tomcat+JSP+MySQL+DWR about the cow epidemic disease diagnosis is realized base on MVC. By testing, it is shown that the monitoring 21 kinds of cow epidemic disease in China can be accurately diagnosed, basically. It can be widely used in breeding aquatics village, breeding farm, raising households and so on. It will play a positive role to prevent and control the cow epidemic disease.
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