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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An Integrated Service System for Agricultural Drought Monitoring and Forecasting and Irrigation Amount Forecasting


In order to improve efficiency of defending agricultural drought and resolve the problem that kinds of service software are distributed and isolated, we designed and developed a synthetic system that integrated drought monitoring and forecasting and irrigation amount forecasting into a platform based on technology of the internet of things, hybrid programming and parallel computing. This system has three advantages. First, we improved algorithms of drought monitoring and forecasting so that products made by this system have a higher accuracy. Second, we designed a function called one-click-complete that needs only one click and can complete all business through one batch process, which could enhance efficiency for emergency handling. Third, we optimized the feature of high cohesion and low coupling from the view of business information flow and technology architecture, which could ensure stability. Now this system has been applied in most provinces in northern China and shows an excellent prospect for integrated service of drought monitoring and forecasting and irrigation amount forecasting.

  • CN
    Data keywords
    • internet of things
    Agriculture keywords
    • agriculture
    Data topic
    • modeling
    • 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.