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
For the past few years, the study on the technology of internet of things (IOT) has become a hot topic of the field of science at home and abroad. In the filed of farm products logistics, the technology of internet of things can effectively track, trace and manage the farm products in the supply chain of logistics; suppliers can acquire the real-time sales status of farm products so as to adjust production and supply of farm products in time; consumers can query the production process and detailed information in order to ensure the quality of farm products. Via the technology of internet of things, we can not only trace each link of supply chain of farm products and share information, but also analyze the current situation of farm products; we can predict the probability of accident, take measures in a timely and effective manner, and enhance the ability of response mechanism to the market regulation.
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