e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

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.

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A GIS-based quality assessment model for olive tree irrigation water in southern Spain


The primary aim of this study was to produce maps of various types of risk arising from the use of surface and ground water for irrigation (viz., soil degradation, plant nutritional disorders, clogging of irrigation systems and reservoir problems). The maps were obtained as the additive result of each hydrochemical variable (water properties and indices calculated from them) associated with each risk by using open-source GIS software. The study was conducted in the province of Jaen (southern Spain), which spans a total area of 13,489 km(2), 5,860 of which is occupied by olive tree crops. Irrigated olive orchards in the province span more than 2,900 km(2). The potential risk of soil degradation and nutritional disorders at their highest rating by effect of the use of irrigation water spanned an area of 72 km(2) with ground water and 874 km(2) with surface water. Such a large difference was the result of the typically increased salinity and sodicity of surface water. Both types of water exhibited a very high risk of clogging irrigation systems; however, the risk at its highest rating with surface water spanned a larger area (11,781 km(2)) than that with ground water. Also, surface water posed more severe restrictions on water reservoirs by effect of its high contents in nutrients. Surface water invariably had a phosphate concentration falling in the medium risk region for reservoir problems. The proposed information management model is useful for developing water quality maps with a view to assessing the potential risks associated with the use of irrigation water. Such information can be used to optimize irrigation practices in specific agricultural areas. (C) 2014 Elsevier B.V. All rights reserved.

  • ES
  • Univ_Jaen_UJA (ES)
  • Univ_Sevilla (ES)
Data keywords
  • information management
Agriculture keywords
  • agriculture
Data topic
  • information systems
  • modeling
  • sensors
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
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    e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
    Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.