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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Digital Soil Mapping Technologies for Countries with Sparse Data Infrastructures


This chapter reviews some hardware and software for digital soil mapping. By hardware we mean various kinds of sensor and instrument which can give us better soil and scorpan data, and by software, we mean mathematical or statistical models that can improve our spatial predictions. There are two approaches for the development of hardware for acquiring soil information: the top-down, and the bottom-up. The top-down approach asks which technologies are available and which variables can we measure that are related to scorpan factors. The bottom-up approach starts from a problem that we systematically analyse so as to identify the information that is needed to solve it. We then tackle the technical problems of collecting this information, and only at the end move to developing the field technology. We evaluate various software approaches to improve spatial prediction of soil properties or soil classes. Finally, the implication of using data-mining tools for the production of digital soil maps is discussed.

  • AU
  • Univ_Sydney (AU)
Data keywords
  • data infrastructure
Agriculture keywords
    Data topic
    • big data
    • 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
    • Univ_Sydney (AU)
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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.