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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Perceived improvements in nitrogen fertilizer efficiency from cotton precision farming


Site-specific information technologies help cotton farmers make decisions to improve nitrogen (N) fertilizer efficiency. Various information technologies, as well as farm and farmer characteristics, could affect fertilizer decisions differently. Knowing these differences could assist the targeting of specific groups of farmers for the adoption of various site-specific information technologies to improve N fertilizer efficiency and reduce negative environmental impacts. Ordered logit analysis was used to identify the information technologies and farm and farmer characteristics that influence the importance farmers place on precision farming (PF) technologies in improving the efficiency of N fertilization of cotton (Gossypium hirsutum L.). Data were obtained from a 2001 mail survey of cotton farmers in six southeastern states in the United States of America. Results indicated that yield monitoring, management zone and grid soil sampling, and on-the-go sensing increased farmers' perceptions of the importance of PF in improving N fertilizer efficiency. Farmers who used geospatial mapping were more likely than other farmers to find PF unimportant. Older cotton farmers who rented a larger portion of the land they farmed were more likely to place greater importance on PF for improving N efficiency. (C) 2008 Elsevier B.V. All rights reserved.

  • US
    Data keywords
    • information technology
    Agriculture keywords
    • farming
    • farm
    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.