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
Design and Implementation of Agricultural Meteorological Disaster Risk Management System Based on GIS
With the arrival of the era of Digital Earth, the range of applications of geographic information technology is more and more widely. Especially, as a large agricultural country, GIS for agricultural information is essential in China. In this paper, we used the geographic information system component technology to implement the agro-meteorological disaster risk management system in Liaoning Province. The system was developed based on.NET by ArcEngine components; attribute data was stored through the MS SQL2005 relational database, the analysis of agro-meteorological disasters, correlation and regression analysis were conducted by Matlab 2010a programming. We combined with the meteorological data of the region for many years, crop yields and regional spatial data calculated to achieve the function of meteorological and agricultural data management, analysis, modeling and regional expression. This system can use the specific meteorological disasters indicators dynamic forecast analysis and evaluation of the regional agro-meteorological disasters, and the combination of maps and charts to display the status of the regional agro-meteorological disasters.
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