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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Control of Farmer Statements Integrated in National Farmer Register System by Remote Sensing Data


It is necessary to monitor the crop pattern in parcel level and to obtain the data having agricultural statistic value to ensure that the national agricultural policies are implemented in a more rational and effective way. It is known that the most common means used to apply agricultural policies are premium - support systems. However, inaccuracies in crop pattern statements of producer, deviations in the amount of cultivated area and erroneous the yield declarations prevent to apply the premium support system in an effective way. Therefore, monitoring of agricultural crop pattern in parcel level is of a vital importance. The effective monitoring of agricultural crop pattern can only be possible by means of using in conjunction withGeographic Information System (GIS) and Remote Sensing (RS) data. In this project that is a pilot study, cotton production, one of the most common of agricultural products in the Aegean Region, is selected as crop pattern example. In this project, the agricultural parcels digitized by General Directorate of Agricultural Reform (GDAR) are used as a basis. Information system of agricultural parcels are integrated with Farmer Registration System (FRS) data containing statement information to gain the farmer statement information belonging to each agricultural parcel as an attribute data. Rapid Eye and SPOT satellite images covering an area of 11.179 km2 are used to monitor the crop pattern in parcel level and perform the farmer statement checks. Shooting of satellite images was made in August when land cover ratio of the cotton plant is the highest stage. The results obtained from this pilot project are shown that applied method may be used to monitor other common agricultural products and to control the farmer statements.

  • TR
  • Ege_Univ (TR)
  • Minist_Food_Agr_&_Livestock (TR)
Data keywords
  • information system
Agriculture keywords
  • agriculture
Data topic
  • information systems
  • sensors
Document type

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

Institutions 10 co-publis
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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.