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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An ontology-based approach to integration of hilly citrus production knowledge


Citrus planting is subject to a variety of complex factors, such as terrain and growth-stage. There are a few differences between citrus planting on hills and in other places. In this paper, we focus on the integration of hilly citrus production knowledge. We organize and convert the citrus production knowledge in the forms of texts, tables and pictures in technical reports and books into a hilly citrus fertilization and irrigation ontology. Three citrus decision services (fertilization, nutrient imbalance, and irrigation/drainage) are developed for fruit farmers in Chongqing, China, based on the ontology. We compare the system results and the reference values recommended by citrus experts to ensure that our system can provide correct and helpful advice for growers. The results of the fertilization service are completely consistent with the experts' expectations. The nutrient imbalance service meets growers' requests with a 98% accuracy, and the irrigation/drainage service can achieve 94% accuracy. Our work can also be further connected with other agricultural ontologies and integrated to be subclasses of AOS ontology. (C) 2015 Elsevier B.V. All rights reserved.

  • CN
  • SW_Univ (CN)
Data keywords
  • knowledge
  • ontology
Agriculture keywords
  • agriculture
Data topic
  • semantics
Document type

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

Institutions 10 co-publis
  • SW_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.