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.

You can access and play with the graphs:

Discover all records
Home page


Obtaining 'useful' high-resolution soil data from proximally-sensed electrical conductivity/resistivity (PSEC/R) surveys


Apparent soil electrical conductivity (ECa) mapping has become a widely used tool in precision agriculture, because of its perceived ability to reflect soil properties which may be useful for delineating management zones. ECa has been used to infer soil clay content, profile thickness and chemical properties by means of regression. So far the approaches have not made the best use of the data - simple correlations are being sought without basic soil science reasoning. From knowledge of soil science, we expect strong and understandable relationships between certain soil properties and the apparent electrical conductivity. This paper attempts to derive a simple model relating soil ECa to its contributing factors and illustrates the practical applications through an example of soil clay content estimation.

  • AU
  • Univ_Sydney (AU)
Data keywords
  • knowledge
  • reasoning
Agriculture keywords
  • agriculture
Data topic
  • modeling
  • sensors
Precision Agriculture 05
Document type

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

Institutions 10 co-publis
  • Univ_Sydney (AU)
Powered by Lodex 8.20.3
logo commission europeenne
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.