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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iGreen: A ubiquitous dynamic network to enable manufacturer independent data exchange in future precision farming


In order to master the future challenges concerning increased demand for food and energy it is obvious that new methods are needed to boost productivity in a sustainable way. One key aspect to optimize agricultural processes and decision making is to derive effective means to acquire and share information along the value chain. In the past, data management in agriculture was dominated by proprietary, mostly Original Equipment Manufacturer (OEM) driven solutions with limited scope. To overcome the shortcomings associated with this, the German national joint research project iGreen was initiated in 2009 to enable convenient and efficient data sharing in a holistic and OEM independent way. As a project partner, John Deere focused on developing concepts and components for interconnecting machines among each other and with infrastructure nodes. In this paper the achieved results such as the infrastructure component referred to as the machine connector, the onboard data management and integration of mobile devices will be presented and evaluated through experiments focusing on data sharing in wheat and forage harvesting. The overall promising results indicate that in the future new applications focusing on optimizing processes can be enabled that will greatly improve the effectiveness and ease of agricultural production, especially fleet management and resource planning. (C) 2013 Elsevier B.V. All rights reserved.

  • DE
  • John_Deere_GmbH_&_Co (DE)
Data keywords
  • data management
Agriculture keywords
  • farming
  • agriculture
Data topic
  • big data
  • information systems
  • 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.