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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Weighted sampling and forecast model using data of pig farming management system


Finding high predictive modeling has been an important task in agriculture. Recently, a machine learning technique using big data achieved high prediction model performance. Following this trend, the goal of this study was to predict the number of pig shipments by using production data collected from pig management systems. This study used weighted sampling to prevent system user sample bias and inconsistency and compared the performance of a model that used a machine learning technique to apply a weighted value and one that did not apply a weighted value. The results indicated that the model that used the machine learning technique to apply a weighted value had higher prediction performance than the model without the applied weighted value.

  • KR
  • Seoul_Natl_Univ (KR)
Data keywords
  • machine learning
  • big data
Agriculture keywords
  • farming
  • agriculture
Data topic
  • big data
  • modeling
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.