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.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
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.
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