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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Energy efficient routing algorithms for application to agro-food wireless sensor networks


Precision Agriculture (PA) represents a novel paradigm for managing the agro-food production, by monitoring the physical parameters of different farming zones. This might be pursued by means of different communication infrastructures, but the most promising technology seems to be the Wireless Sensor Network (WSN). However, merely applying this approach to the PA context, while resulting in a more flexible communication platform, still exhibits rigid information management architecture. Applying the Ambient Intelligent (AmI) paradigm to create. an environment highly interactive with all the users involved in the process, can overcame this limitation. Our proposal deals with the porting of the AmI concepts on a highly-integrated WSN platform with a special focus on the routing strategies. In particular, we investigate a class of dynamic flooding algorithm aware of the neighbor nodes status in terms of geographical position and residual battery charge. By comparing this approach with the gossiping and the static flooding schemes we are able to highlight a remarkable improvement in the network life-time with a particular regard to the most solicited nodes, without complexity increasing.

  • IT
  • Univ_Firenze (IT)
Data keywords
  • information management
Agriculture keywords
  • agriculture
  • farming
Data topic
  • information systems
  • sensors
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.