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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A segmentation transmission approach and information system for agriculture information based on mobile communication


Considering the information transmission system of agriculture M-informatization, pertinence and practicability are critical factors, but the current system lack these factors in China. Based on the case study of Agriculture Space Time of China Unicorn and Agricultural ICT of China Mobile, the segmentation transmission approach is presented in this paper. To make the current information transmission system more pertinent and practical, we adopt segmentation transmission approach in the critical nodes of the closed loop information transmission system, which includes produce, gathering, analysis & process, supplying, sending, distribution, receiving, application and feedback. According to the key attribute dimensionality of users, this approach employs intelligent IMS (Information Matching System) to match the Content of data dictionary with the individual needs of users, and analyze the static and dynamic attributes of users' datum and the content of service by using the high-powered rule-engine. This data dictionary is based on the scientific multilayer-integrated data dictionary concerning farm products. Adopting the approach presented in this paper in current agriculture M-informationization system can successfully transmit all kinds of segmentation agriculture information to the right agriculture users.

  • CN
  • Beijing_Univ_Posts_&_Telecommun (CN)
Data keywords
  • information system
Agriculture keywords
  • agriculture
  • farm
Data topic
  • information systems
Research and Practical Issues of Enterprise Information Systems II, Vol 2
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.