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
Most of the information technology (IT) systems currently used by Japanese farmers are used for duties such as filing tax records and traceability records to meet the requirements of non-farmers in the government and distribution industry. We focused on introducing the latest technologies such as sensors, wireless networks, and Cloud computing to radically revise approaches to agriculture and conduct business feasibility studies to establish a hypothetical model of Cloud services that make a genuine contribution to agriculture. We have conducted demonstration tests with the cooperation of two Japanese farming corporations. This hypothetical model has much in common with on-site operations such as medical/nursing care and maintenance besides agriculture, so we are working to develop it across a broader range of fields. On the basis of the knowledge acquired through actual agricultural operations and subsequent analysis, we describe the affinity between agriculture and Cloud computing and discuss how the technologies used in the demonstration test can be applied to other fields.
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