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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Cultivation Management and Standard Library Automatic Query System of Digital Greenhouse


The research and applied technology about agriculture are attracting increasing attention, and especially digital greenhouses have become an important part of efficient agriculture. In this paper, basing on the environmental factors and crops growth status information, management system sorts out, analyzes and summarizes the data to give the best environment parameters for different crops in different external environment and to give the best growth parameter value for crop in different growth stages. A standard database of digital greenhouse will be built in this paper. Basing on the database, automatic identification and query model will be built. The system will provide daily operation schedule for crops during the whole growth of crops. And all kinds of growth parameters information in the process of crops growth will be analyzed by the system. Then the system compares the crop growth situation with standard database and sends the abnormal information to users timely. Simultaneously, real-time video monitoring can be used. Some daily routine work information can be recorded and suggested, such as watering, fertilizing and weeding etc. Based on crops growth and development patterns, the environment conditions are controlled and high quality, high yield, and efficient cultivation of plants will be realized.

  • CN
  • Jiangsu_Univ (CN)
Data keywords
    Agriculture keywords
    • agriculture
    Data topic
    • big data
    • 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.