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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Proposal of a Method to Evaluating Adaptability of Farmland for Cultivating Vegetables


In this paper, we propose a method to estimate an adaptability of environmental data on each farmland concerning with each cultivation of vegetables. We propose an actual method to represent a feature of a farmland. We define an adaptability of a farmland for vegetables as a value of differences between environmental data on the farmland and a condition of a standard manner of the cultivation. Since the size of observed data on each farmland is big, it is difficult to apply various algorithms for analysis to the data. Therefore, we present the method to compress such a big data into a simple value by indexing from observed values into -1, 0, or 1. Then, the method is applied to the data obtained by our cultivation experiment of tomatoes. From the result by comparing the values of adaptability obtained by experiments in 2013 and 2014, we show that the adaptability can be expected to have close relationship with growth of vegetables.

  • JP
  • Sojo_Univ (JP)
Data keywords
  • big data
Agriculture keywords
  • agriculture
Data topic
  • information systems
Document type

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

Institutions 10 co-publis
  • Sojo_Univ (JP)
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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.