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
Lack of access to technical information for existing agricultural production and low efficiency, for example Chinese cabbage,, proposes a high efficiency, the precision dynamic cloud acquisition theory and methods, while the use of the Hadoop framework taken MapReduce, Combined with Skyline queries technology, Build a cloud-based agricultural production and marketing information sharing platform, Agricultural production information in real time dynamic acquisition, processing and transmission in a timely manner, agricultural production information analysis, storage calculation result, agricultural production and price forecast information is valid, the timely release, Improve the effectiveness of the data quality of agricultural products and information services, Thus solve the problem to control price volatility of agricultural products, agricultural information collection to release lag, So that scientific and effective decision-making, and the macro-management of the balance between supply and demand of agricultural products.
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