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
A MULTI-CRITERIA EVALUATION APPROACH TO ACCESS AGRICULTURAL LAND USE POTENTIAL ON THE LOESS PLATEAU OF CHINA
This study applied a Multi-Criteria Evaluation (MCE) approach to evaluate agriculture land use potential in Yuzhong County (Gansu Province) on the Loess Plateau of China. We selected six environmental variables for study: slope, altitude, precipitation, temperature, soil organic matter and distance to water because of their importance to agriculture. Our MCE approach, which integrates spatially-explicit maps of these variables using a geographic information system (GIS), we developed agricultural suitability indices (ASI) to serve as proxies for the agricultural potential of the landscape. An analysis of the ASI found that certain environmental variables are correlated with the spatial distribution of (i) crop yields (both subsistence grain and cash crop yields); (ii) fanning population density, (iii) subsistence grain yield, (iv) cash crop yield, (iv) gross agricultural output and (v) farmers' income. This study indicates that the ASI is a useful tool for accessing agriculture land use in Gansu Province and since this province is representative of complex landscapes found in the region, further suggests it may have value for agriculture-based policy decision-making throughout the greater Loess Plateau of China.
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