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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The changing role of information technology in food and beverage logistics management: beverage network optimisation using intelligent agent technology


The last decades, advances in information technologies and increased competition have changed the business environment in the food and beverages industry, particularly in the European Union, which is characterised by the proliferation of small and medium enterprises. Many food companies are now aggressively focusing on logistics management as the last frontier to gain and sustain a competitive advantage. This study describes a model of intelligent food supply chain that improves efficiency within the supply chain. The aim of the paper is to demonstrate that agent technology can optimise food supply chains by (a) reviewing intelligent agents applications for supply chain optimisation and (b) illustrating how a multi-agent system can optimise performance of a beverage logistics network. Firstly, we review and synthesise existing applications in comparison to traditional and Internet-based technologies and critically evaluate agent technology applicability for supply chain management. We model the beer supply network to demonstrate that products can acquire intelligence to direct themselves throughout the distribution network. Optimisation agents can help solve specific problems of beverage supply: reduce inventories and lessen bullwhip effect, improve communication, and enable chain coordination without adverse risk sharing. Further, they gain a capability to be purchased and sold while in transit. Overviews of the supporting technologies that make such a supply chain a reality are fully discussed. In particular, optimisation agents have the characteristics of autonomous action, being proactive, reactive, and able to communicate. We demonstrate that agents enhance the flexibility, information visibility, and efficiency of the supply chain management. Suggestions and recommendations for further research are provided. Simulations of the agent-enabled supply optimisation can be used to benchmark for future research and development associated with building an optimisation agent. (c) 2004 Elsevier Ltd. All rights reserved.

  • GR
  • IE
  • Agr_Univ_Athens_AUA (GR)
  • Natl_Univ_Ireland (IE)
Data keywords
  • information technology
Agriculture keywords
  • supply chain
Data topic
  • big data
  • information systems
Document type

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

Institutions 10 co-publis
  • Agr_Univ_Athens_AUA (GR)
  • Natl_Univ_Ireland (IE)
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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.