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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Data mining a new pilot agriculture extension data warehouse


Pakistan is the world's fifth largest cotton producer. To monitor cotton growth, different government departments and agencies in Pakistan have been recording pest scouting, agriculture and metrological data for decades. Coarse estimates of just the cotton pest scouting data recorded stands at around 1.5 million records, and growing. The primary agro-met data recorded has never been digitized, integrated or standardized to give a complete picture, and hence cannot support decision making. In this paper, a complete life-cycle implementation of a novel Pilot Agriculture Extension Data Warehouse is discussed, followed by data analysis by querying the Data Warehouse and some interesting findings through data mining using an indigenous technique based on the crossing minimization paradigm. Actual cotton pest scouting data of 1,500+ farmers for years 2001 and 2002 for the Multan district was processed and used in the pilot project.

  • PK
  • GB
  • Univ_Stirling (UK)
Data keywords
  • data warehouse
Agriculture keywords
  • agriculture
Data topic
  • big data
  • information systems
  • knowledge transfer
  • decision support
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.