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
Study on Counties Agricultural Economic Intelligent Decision-Making Support System (IDSS) Based on GIS and Knowledge
Aiming at the complex and diverse agricultural information resources, the article proposes a kind of intelligent and scientific agricultural economic analysis method and tool combining the various information technologies, which can improve the level of modern agricultural information management. A universal and compatible counties agricultural economic intelligent decision-making system based on GIS and knowledge is constructed to characterize and analyze agricultural economic spatial and temporal distribution of counties, which introduces multiple agricultural economic analyzing models combining the quantitative analysis of agricultural economic monitoring subsystem with the qualitative analysis of knowledge subsystem. The system utilizes C#.NET as development platform, and the secondary development technology of GIS that helps in the design of the agricultural economic intelligent decision_support system, which provides efficient decision_support for agricultural economic management sectors.
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