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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Enterprise Business Modelling Languages Applied to Farm Enterprise: A Case Study for IDEF0, GRAI Grid, and AMS Languages


New requirements of society and demands imposed by the Common Agricultural Policy (CAP) reform have increased the complexity level required from farm management systems. New approaches for assisting farm management are needed to ensure a successful production system that is friendly to our environment and able to provide high-quality information management. Successful management of farm activities requires the collection, storage, and manipulation of a considerable amount of information. Farm enterprises are complex systems that we need to model to facilitate knowledge capitalization, business process reengineering and integration, change-management, and information system (IS) design and integration. Enterprise Modelling Languages allow business requirements models to be defined. Such business models help to align the business strategy, the organization infrastructure, and the IS infrastructure but are rarely used in the agricultural sector. We propose in this chapter to apply three Enterprise Modelling Languages from the industrial sector to farm enterprise. After a brief presentation of modelling language diversity, we will present the three Enterprise Modelling Languages (IDEF0, GRAI Grid, and AMS) and illustrate their application to farm enterprise through case studies. We will then discuss their usability and the interest of Enterprise Modelling Languages compared with other modelling languages (such as Unified Modelling Language) presented in other chapters in this book.

  • FR
  • Irstea (FR)
Data keywords
  • knowledge
  • information system
  • information management
Agriculture keywords
  • farm
  • agriculture
Data topic
  • modeling
Document type

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

Institutions 10 co-publis
  • Irstea (FR)
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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.