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
With the global food safety problems increasing, food safety problems of egg products get more and more attention of consumers in China. With the development of internet of things (IOT), food traceability system can let the consumer participate in the whole process of the supervision of food production. Thus, the consumers can understand information behind the food. The existing egg traceability systems are lack of unified standard, and they are not practical and not popular. The data sources are not intelligent, timeliness and advantages enough. This paper puts forward an egg traceability system based on video capture and wireless networking technology. In this paper, the authors put forward the general structure of the egg traceability and develop the platform based on the sensor network.
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