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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A Scalable and High-efficiency Discovery Service In IoT Using a New Storage Schema


Discovery Service (DS), used to trace the movement of objects along supply chains, is an important component of the Internet of Things (IoT). DS is faced with the challenge of huge volume of data as well as large amount of parallel requests of discovery and publish. This paper proposes a new central-indexing DS system using distributed NOSQL database HBase to better support big data and parallel processing. A new storage schema of DS data is designed to optimize the discovery efficiency of DS records. The new storage schema uses object ID as row key, event timestamp as column identifier and event index content as cell value. The typical recursive discovery algorithm, which is needed in DS but often neglected in previous works, is specified to realize the full tracing of object's movement. A prototype of the DS system proposed is implemented. The experiments show that the number of concurrent discoveries the proposed DS can handle per second is about 200 times that of the DS based on RDBMS, and the number of concurrent publishes the proposed DS can process per second is about five times that of the DS based on RDBMS.

  • CN
  • Fudan_Univ (CN)
Data keywords
  • internet of things
  • big data
  • noSQL
Agriculture keywords
  • supply chain
Data topic
  • sensors
Document type

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

Institutions 10 co-publis
  • Fudan_Univ (CN)
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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.