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Decision Support System for Coffee Rust Control Based on Expert Knowledge and Value-Added Services

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Book cover Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

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Abstract

In coffee production, the quality and quantity of harvests depends on the diseases treatment. One of the diseases with the most negative impact is the Coffee Rust. It causes losses around 30% in Colombian coffee crops. Sever-al studies propose the use of computer sciences techniques for the automat-ic detection of conditions that trigger epidemics. On the other hand, the knowledge of experts in the control of the disease needs to be disseminated in a more agile way so that the farmers can make correct decisions to avoid great losses in the production. This paper presents a Decision Support System (DSS) for Coffee Rust Control based on expert knowledge. It recommends the best alternative for the application of fungicides and proposes some value-added services based on the integration of its functionalities with those offered in the services of an Early Warning System (EWS) for Coffee Rust. Our proposal represents a highly scalable and flexible solution for the disease management at farmer level.

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Acknowledgements

The authors are grateful to the University of Cauca and its Telematics Engineering Group (GIT), the Colombian Administrative Department of Science, Technology and Innovation (Colciencias), AgroCloud project of The Interinstitutional Network of Climate Change and Food Security of Colombia (RICCLISA) for supporting this research and the InnovAccion Cauca project of the Colombian Science, Technology and Innovation Fund (SGR-CTeI) for PhD scholarship granted to MSc. Emmanuel Lasso.

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Authors and Affiliations

  1. Grupo de Ingeniería Telemática, Universidad del Cauca, Campus Tulcán, Popayán, Cauca, Colombia

    Emmanuel Lasso, Óscar Valencia & Juan Carlos Corrales

Authors
  1. Emmanuel Lasso
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  2. Óscar Valencia
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  3. Juan Carlos Corrales
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Corresponding author

Correspondence to Emmanuel Lasso .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Trieste, Trieste, Italy

    Giuseppe Borruso

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  9. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  10. University of Trieste, Trieste, Italy

    Alfredo Cuzzocrea

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Lasso, E., Valencia, Ó., Corrales, J.C. (2017). Decision Support System for Coffee Rust Control Based on Expert Knowledge and Value-Added Services. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10405. Springer, Cham. https://doi.org/10.1007/978-3-319-62395-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-62395-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62394-8

  • Online ISBN: 978-3-319-62395-5

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