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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Reference intervals for organically raised sheep: Effects of breed, location and season on hematological and biochemical parameters


Hematological and biochemical tests are widely used for assessment of health status and diagnosis of disease in domestic animals. They are almost indispensible in health management of organic flocks, but environmental conditions and food supply can be highly variable in organic farming, which may cause levels of many analytes to lie outside the published reference intervals. We investigated key hematological and biochemical parameters in organically raised sheep in Croatia. Different (mostly indigenous) breeds raised in various geographic regions were evaluated throughout the year. We identified key parameters that varied under different conditions using classification based on machine learning. Our findings suggest that location (which determines climate and food availability) has a profound effect on hematological and biochemical values in organically raised sheep. The effect of location was more pronounced than that of breed and season. The results clearly show the merit of establishing specific reference intervals for each flock, especially in organic farming. We demonstrate feasibility of this approach by successful calculation of reference intervals from a small sample (30 individuals) using robust statistical methods. (c) 2012 Elsevier B.V. All rights reserved.

  • HR
    Data keywords
    • machine learning
    Agriculture keywords
    • farming
    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.