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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RS and Geographical Information System-Based Evaluation of Distributed and Composite Curve Number Techniques


This paper compares the composite and distributed curve number (CN) techniques in computation of runoff from a hypothetical watershed of 100 x 100 cells and from a natural medium-sized agricultural Tarafeni watershed located in West Bengal, India. To this end, remote sensing (RS) satellite digital data from 1989 and 2000 were used for land use and land cover classification using a maximum likelihood classifier algorithm of supervised classification for CN-generation. Runoff was estimated for each grid by using a distributed-CN approach and averaged for the whole watershed by using a weighted-runoff approach. The estimated runoff values were compared with those from the traditional composite-CN technique. In both cases of initial abstraction (I-a) taken as 0.2 S and 0.3 S (where S is the potential maximum retention), the estimated runoff caused by distributed CN technique was more than that caused by the composite-CN approach. The difference in runoff values was more for I-a = 0.3S than that for I-a = 0.2S; runoff caused by distributed CN with I-a = 0.2S matched more closely with the observed. Furthermore, the difference was very high for small events, moderate for medium, and low for high rainfall events; it was very high for the watershed exhibiting greater CN variation. DOI: 10.1061/(ASCE)HE.1943-5584.0000651. (C) 2012 American Society of Civil Engineers.

  • IN
  • ICAR_Indian_Council_Agr_Res (IN)
  • Indian_Inst_Technol_Kharagpur (IN)
  • Indian_Inst_Technol_Roorkee (IN)
Data keywords
  • information system
  • digital data
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
  • ICAR_Indian_Council_Agr_Res (IN)
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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.