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
In the last two decades, Mexican irrigated agriculture has faced large changes as a result of recurrent droughts and the transfer of irrigation management from the federal government to Water User Associations (WUA). The associations face a great challenge in the efficient opera ion of water distribution networks and use of water. Under water scarcity conditions, new irrigation management strategies must be implemented to estimate irrigation requirements at field scale and integrate them into several operating levels of the irrigation network. A computer tool, Spriter, was developed and transferred to several WUA of Mexican irrigation districts. The system allows the dynamic generation of digital map reports, as mapping of physical features of fields is linked to the main database. Software applications are presented to illustrate the advantages of using spatial information technologies to improve water management in large irrigation districts. (c) 2006 Elsevier B.V. All rights reserved.
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