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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Application of Remote Sensing Techniques in Locating Dry and Irrigated Farmland Parcels


For structuring national irrigation policies and determining the exact yield production shares separately generated from irrigated and unirrigated farmland practices fast and simple to employ methods are of great importance. In this work, through utilizing entire satellite image frames, with no masking or cropping any parts out, a local, parcel-based Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI) means and variance techniques' mapping abilities were investigated. This was the preliminary stage in the delineation of irrigated and non-irrigated parcels. Although, even at this phase we obtained mapping results with reasonably high precision, a further process was performed using Land Surface Temperature (LST) data retrieved from Landsat 8 satellite images. LST tuning up produced irrigated areas to be mapped with accuracy rates escalating above 89%. The results obtained suggest that the NDVI, NDMI means and variance approach coupled up along with LST data holds the capacity to assist in building up trustworthy agrarian statistics for TARBIL project and in formation of a robust Agricultural Geographic Information System on national basis.

  • TR
  • Istanbul_Tech_Univ_ITU (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
  • 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.