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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Agricultural production systems modelling and software: Current status and future prospects


During the past decade, the application of agricultural production systems modelling has rapidly expanded while there has been less emphasis on model improvement. Cropping systems modelling has become agricultural modelling, incorporating new capabilities enabling analyses in the domains of greenhouse gas emissions, soil carbon changes, ecosystem services, environmental performance, food security, pests and disease losses, livestock and pasture production, and climate change mitigation and adaptation. New science has been added to the models to support this broadening application domain, and new consortia of modellers have been formed that span the multiple disciplines. There has not, however, been a significant and sustained focus on software platforms to increase efficiency in agricultural production systems research in the interaction between the software industry and the agricultural modelling community. This paper describes the changing agricultural modelling landscape since 2002, largely from a software perspective, and makes a case for a focussed effort on the software implementations of the major models. (C) 2015 Elsevier Ltd. All rights reserved.

  • AU
  • NZ
  • NL
  • GR
  • IT
  • US
  • CSIRO (AU)
  • Wageningen_Univ_and_Res_Ctr_WUR (NL)
  • CREA_Council_Agr_Res_&_Agr_Economics (IT)
  • Washington_State_Univ (US)
  • USDA_ARS_Agr_Res_Serv (US)
  • AgResearch_New_Zealand_Pastoral_Agr_Res_Inst (NZ)
  • Democritus_Univ_Thrace_DUTH (GR)
Data keywords
  • agricultural model
Agriculture keywords
  • agriculture
  • crop system
  • livestock
Data topic
  • information systems
  • modeling
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
  • CSIRO (AU)
  • Wageningen_Univ_and_Res_Ctr_WUR (NL)
  • CREA_Council_Agr_Res_&_Agr_Economics (IT)
  • Washington_State_Univ (US)
  • USDA_ARS_Agr_Res_Serv (US)
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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.