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


Information society in the agricultural and food sector - challenges, potential and requirements for development


Today more than ever, agriculture, including up-stream and downstream sectors, face the overriding challenge of developing a sustainable connection between consumer protection, animal-welfare, quality assurance, and economic and ecological sustainability. In view of this, this paper aims to analyse how information technology can contribute to this aim. The following areas must be analysed: the information needs of operators (within and outside their field of operation), the requirements of management, and the data and information requests made of the agricultural and food industry which result from quality assurance and traceability processes, and from legislative stipulations. This demand for information must be compared with information availability (both technical feasibility and practical application), in order to enable deficits to be identified. A synthesis is then used with the aim of allowing urgent development needs to be formulated, for the needs to be categorised based on technical and organizational parameters, and for possible avenues of research, training and consulting to be indicated. In summary, it can be stated that, other than a few exceptions, the need for information in the classic fields of processes, enterprise sectors and companies, and also the need in these areas seen over space and time, has grown and will continue to do so. The requirements of value added chains at sectoral level create a clear net increase in information requirements, most notably due to the pertinent regulatory and legal frameworks and the justifiably higher quality assurance requirements. With regard to the current potential, it can be confirmed that, from a technological perspective, precision agriculture can deliver almost unlimited data availability. However, on the other hand, there are comparatively large deficits in the fields of analysis and goal-oriented preparation and interpretation of this data, i.e. in the field of software and its application, as well as for the preparation and making of decisions. Countless studies have demonstrated that at both German and international level, the degree of penetration in agriculture and agriculture-related enterprises in respect of hardware infrastructure is high and is continuing to grow. In contrast, there is a need for improvement with regard to the implementation of e-business strategies and, in general, in the field of IT training. Technical and organisational requirements can be distinguished based on IT-relevant development requirements. Key technical development requirements include the optimisation of networks, the integration of distributed data, functions and systems, the development and implementation of data standards and the general dissemination of key technologies (e. g, RFID). From the organisational point of view, e-business must be developed further, and data protection and security requirements must be clarified; further training campaigns aimed at the relevant stakeholders are also necessary. With regard to the consequences for research, training and consulting, it can be clearly stated that research must be more interdisciplinary and must involve cost-benefit analysis. In addition to this, the factors influencing acceptance, as well as the possibilities and limits for the integration of IT into chains should be studied. Efforts in the field of training should have as a primary goal the increase of human capital in the fields of research, consulting and practice. Targeted advice should aim to promote acceptance of information technologies as well as showing the potential and advantages.

  • DE
  • Univ_Hohenheim (DE)
Data keywords
  • information technology
Agriculture keywords
  • agriculture
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)
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.