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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Top soil properties acquisition by a novel fusion of sensors


The arrangement of defined irrigation events reveals a challenging issue to farmers all over the world, whereas the lack of instant top soil characterization simultaneously displays a major reason for this. Due to a consequent spatial heterogeneity of water contents, moving irrigation can scarcly be adjusted evenly in a proper relation to prevailing top soil water contents. For that a number of water content evaluation methods have been established to customise the previously calculated irrigation amounts according to the spatial variation of prevailing water contents on field. The most prominent method to detect a present state of water content is the translation of prevailing suction pressure within different soil depths into water contents. A second method is the Time Domain Reflectometry (TDR) which reveals volumetric water contents using a mathematic runtime translation from transmitted electromagnetic pulses (Topp et al., 1980; Roth et al., 1992). Crux of the matter is where to allocate the stationary equipment on farm in order to derive a proper information of an all over field valid information on water content by selecting few and right spots hence to cost and maintenance of the abovementioned detecting devices. The latest design of a dynamic moving TDR reveals water contents in 3 depths using one solid probe body, moving in the top soil. But the produced shallow strap of information solitarily qualifies to display machine tracks of the moving irrigation cart. The translation into working breadth has been acquired using visually processed thermographic patterns. This resulted in a proper identification of moistened surfaces to a depth of -2 cm, even though an ocularly rating was not feasible. Moreover, the approach reveals current top soil evaporation, indicating changing zones of topsoil properties, which is indispensable to draw a clear image of actual irrigation needs within deeper layers of the root zone.

  • DE
  • Univ_Hohenheim (DE)
Data keywords
  • information management
Agriculture keywords
  • farm
Data topic
  • information systems
  • sensors
Document type

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

Institutions 10 co-publis
  • Univ_Hohenheim (DE)
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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.