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Supporting Growers with Recommendations in RedVides: Some Human Aspects Involved

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Web-Age Information Management (WAIM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8597))

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Abstract

This paper discusses some human aspects that are to be considered when designing recommendations for RedVides, a cloud based networking environment that collects the status of the crop with sensors and can take decisions through corresponding actuators. The goal behind is to support growers in decision making processes, which can be benefited from collaborations among growers and with other stakeholders.

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Notes

  1. 1.

    http://www.cubenube.com/index.php?pag=redvides&lang=en

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Acknowledgements

Authors would like to thank all our colleagues from Cubenube (coordinator), Zignux and Encore companies who have been involved in RedVides project. This work has been partially funded with the National Plan of Scientific Research Development and Technological Innovation 2008-2011 in the call Avanza 2 by the Spanish Ministry of Industry, Energy and Tourism under grant no. TSI - 020100-2011-29, including support from the European Regional Development Fund (ERDF).

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Authors and Affiliations

  1. aDeNu Research Group, Artificial Intelligence Department, Computer Science School, UNED, C/Juan del Rosal, 16, 28040, Madrid, Spain

    Olga C. Santos, Sergio Salmeron-Majadas & Jesus G. Boticario

Authors
  1. Olga C. Santos
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  2. Sergio Salmeron-Majadas
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  3. Jesus G. Boticario
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Corresponding author

Correspondence to Olga C. Santos .

Editor information

Editors and Affiliations

  1. DEKE Lab., Renmin University of China, Beijing, China

    Yueguo Chen

  2. Institute for Information Systems, Technical University Braunschweig, Braunschweig, Germany

    Wolf-Tilo Balke

  3. Hong Kong Baptist University Dept. Computer Science, Kowloon Tong, Hong Kong SAR

    Jianliang Xu

  4. School of Information, Renmin University of China, Beijing, China

    Wei Xu

  5. School of Computer Science and Technology, Hefei, China

    Peiquan Jin

  6. Department of Computer Science, East China Normal University, Shanghai, China

    Xin Lin

  7. Department of Computer Science, Kean University, Wenzhou, China

    Tiffany Tang

  8. School of Electrical Engineering, Korea University, Seoul, Korea, Republic of (South Korea)

    Eenjun Hwang

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© 2014 Springer International Publishing Switzerland

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Santos, O.C., Salmeron-Majadas, S., Boticario, J.G. (2014). Supporting Growers with Recommendations in RedVides: Some Human Aspects Involved. In: Chen, Y., et al. Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science(), vol 8597. Springer, Cham. https://doi.org/10.1007/978-3-319-11538-2_28

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  • DOI: https://doi.org/10.1007/978-3-319-11538-2_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11537-5

  • Online ISBN: 978-3-319-11538-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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