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SePeRe: Semantically-Enhanced System for Pest Recognition

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ICT for Agriculture and Environment (CITAMA2019 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 901))

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Abstract

Organic agriculture shows several benefits, namely, it reduces many of the environmental impacts of conventional agriculture, it can increase productivity in small farmers’ fields, it reduces reliance on costly external inputs, and guarantees price premiums for organic products. However, its feasibility is often questioned due to the constraints in the use of chemical fertilizers and pesticides. For that reason, the general approach in organic agriculture is to deal with the causes of a problem (i.e., management practices aiming at preventing pests and diseases from affecting a crop) rather than treating the symptoms. In this work we propose a fully-fledged, integral, comprehensive technological solution for the early detection of plant diseases and pests, and the suggestion of organic agriculture-compliant treatments. A proof-of-concept prototype has been developed that identifies the presence of harmful conditions in the crop and lists appropriate treatments.

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Notes

  1. 1.

    https://cloud.google.com/vision/.

  2. 2.

    http://www.fao.org/e-agriculture/.

  3. 3.

    http://agroportal.lirmm.fr/.

  4. 4.

    http://wiki.dbpedia.org/.

  5. 5.

    http://data.europa.eu/euodp/.

  6. 6.

    http://www.aemet.es/en/datos_abiertos.

  7. 7.

    http://aims.fao.org/standards/agrovoc.

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Acknowledgements

This work has been supported by the Spanish National Research Agency (AEI) and the European Regional Development Fund (FEDER/ERDF) through project KBS4FIA (TIN2016-76323-R).

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Authors and Affiliations

  1. Faculty of Computer Science, Department of Informatics and Systems, University of Murcia, 30100, Murcia, Spain

    Jesús Garcerán-Sáez & Francisco García-Sánchez

Authors
  1. Jesús Garcerán-Sáez
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  2. Francisco García-Sánchez
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Corresponding author

Correspondence to Francisco García-Sánchez .

Editor information

Editors and Affiliations

  1. Facultad de Informática, Universidad de Murcia, Murcia, Spain

    Rafael Valencia-García

  2. Departamento de Filología Moderna, Universidad de Castilla-La Mancha, Toledo, Spain

    Gema Alcaraz-Mármol

  3. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Javier del Cioppo-Morstadt

  4. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Néstor Vera-Lucio

  5. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Martha Bucaram-Leverone

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Garcerán-Sáez, J., García-Sánchez, F. (2019). SePeRe: Semantically-Enhanced System for Pest Recognition. In: Valencia-García, R., Alcaraz-Mármol, G., Cioppo-Morstadt, J., Vera-Lucio, N., Bucaram-Leverone, M. (eds) ICT for Agriculture and Environment. CITAMA2019 2019. Advances in Intelligent Systems and Computing, vol 901. Springer, Cham. https://doi.org/10.1007/978-3-030-10728-4_1

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