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
Agro-meteorological Data Quality Control System design for Turkey's Agricultural Monitoring and Information System (TARBIL)
TARBIL project was initiated in 2008 to provide parcel based continuous agro-meteorological parameter prediction, yield monitoring for precision farming and good agricultural practices support. Currently more than 350 automated TARBIL sites are operational over Turkey and the total number is expected to reach 1200. Twenty four parameters are sampled in 10 minute intervals from each site and transferred to TARBIL center for archive and computation of spatio-temporal products. Such high volume of data requires detailed quality control tests to provide necessary information about the condition of data and to filter the corrupted or misleading data from affecting the following automated processes. The ongoing Quality Control System design for TARBIL project is introduced in this study. The quality control tests of range, step, persistence, like-instrument and spatial tests implemented in the QCS design is described. Quality control test applications are detailed with the following quality flagging procedure applied. Finally, the possible benefits of the QCS design output is discussed.
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