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
The improvement and modernization of surface irrigation systems plays an important role to achieve the sustainability of the Mediterranean irrigated agriculture. These techniques are actual farmer practices in many regions, are low investment and energy costs, and have the potential to achieve high application performances. To support developing improved solutions, the application of a decision_support system (DSS) to design, analyse and rank alternative surface irrigation scenarios is helpful. The variety of aspects influencing irrigation performances makes the decision process quite complex and often out of the farmers experience and empirical knowledge. The adopted SADREG DSS includes a database, simulation models and a multicriteria analysis model. The models were parameterized and validated using field data before the DSS application. The analysis includes cost and benefit calculations, and attributes relative to environmental impacts. The paper describes the model and its application to basin and border irrigation in Ras-El-Ain, Syria, focusing water savings and wheat water productivity, and socio-economic issues.
Inappropriate format for Document type, expected simple value but got array, please use list format