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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Are agricultural land use patterns influenced by farmer imitation?


This paper proposes a methodology based solely on spatial data to analyse whether and, to what extent, farmer imitation leaves an observable footprint on an agricultural landscape. Geographical Information System (GIS) analysis of parcel and farm location data of a study region in central Belgium was developed as an alternative methodology to farmer interviews. Results suggest that imitation is not an important determinant of agricultural land use patterns in the study area. The effect of imitation on landscapes is limited to the extent of being hardly significant. Neighbouring parcels cultivated by farmers who live in close proximity are only slightly more similar than neighbouring parcels cultivated by farmers who live further away from one another. The results question the validity of the assumptions underlying agent-based models that try to explain agricultural land use through imitation behaviour. The results should, however, be considered with caution as the proposed methodology has two limitations. First, comparison between neighbouring parcels could not identify the imitation effect from all factors that influence agricultural land use. Relative space was not accounted for, which led to two possible explanations for the similarity of neighbouring parcels: imitation or the location of a parcel relative to the farm. Secondly, the method was applied to aggregated land use classes for a single year, which did not allow for the effect of crop rotations in understanding imitation behaviour. (c) 2006 Elsevier B.V. All rights reserved.

  • BE
  • Univ_Catholique_Louvain (BE)
Data keywords
  • information system
Agriculture keywords
  • agriculture
  • farm
Data topic
  • 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.