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
Half of the world food production originates from irrigated and drained soils. Advanced soil water flow simulation models have the potential to contribute to the solution of relatively complex problems in irrigation and drainage science and management, provided that field data are available to calibrate and run them. Besides providing a literature review, this paper emphasizes on calibration and mathematical optimization procedures using GIS and remote sensing techniques. Unfortunately, the required level of expertise of integrated GIS, remote sensing and models make the application of sophisticated tools highly dependent on modeling experts. This is one of the chief reasons that soil water flow models have a low operational focus, especially in less developed countries with irrigation systems where they are most needed. The gap between the supply of various advanced models and the application by the irrigation and drainage community needs to be closed. The likelihood of adoption by a broader model user community will increase if models become more user and data-friendly (or -tolerant) and heterogeneity-aware. During the next 10 years, simulation model development and application should focus on agricultural water savings, understanding recycling of water in the basin context, increase crop water productivity, bring groundwater-overexploitation to a halt and control the build up of soil salinity. (c) 2007 Elsevier B.V. All rights reserved.
- Delft_Univ_Technol (NL)
- Univ_Napoli_Federico_II (IT)
- FAO (IT)
- Univ_Idaho (US)
- eLEAF (NL)
- FutureWater_Ltd (NL)
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