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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Parcel Based Air Humidity Trend Analysis Based on Meteorological and Phenological Data Obtained from a Robo-stations Subset of TARBIL's Network (a case study)


In this work the air humidity (at 2 & 10 meters elevation above ground surface) and meteorological data were explored with the aim to study the temporal variation of air humidity and its association with weather and irrigation activities data parameters obtained from eleven (11) automated synoptic agro-meteorological TARBIL stations located in four different influential agricultural and administrative provinces of Turkey. In this preliminary version only the results for one of the stations are given. The data used in the work were obtained through the official web site of TARBIL - the Turkish Agricultural Monitoring and Information System for period of a year spanning between June 2014 and June 2015. Despite the fact that air humidity statistics at low heights as of 2m and 10m originate from both natural or manmade sources (like precipitation or irrigation) we tried to discover the trend variation of air humidity, based on multiple linear regression model ANOVA statistics and PCA analysis.

  • TR
  • Istanbul_Tech_Univ_ITU (TR)
Data keywords
  • information system
Agriculture keywords
  • agriculture
Data topic
  • information systems
  • modeling
  • sensors
Document type

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

Institutions 10 co-publis
  • Istanbul_Tech_Univ_ITU (TR)
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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.