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Pest Recognition Using Natural Language Processing

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Technologies and Innovation (CITI 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1124))

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Abstract

Agriculture and pest control are fundamental for ensuring worldwide food provisioning. ICT-based systems have proven to be useful for various tasks in the agronomy domain. In particular, several pest recognition tools have been developed that assist in the early identification of plant pests and diseases. However, in most cases expensive devices (e.g., high-resolution cameras) are necessary in association with such tools. In general, smallholders do not have access to those sophisticated devices and so cannot benefit from those tools. In this work, we present a Web-based application that makes use of natural language processing technologies to help (inexperienced) farm workers and managers in recognizing the pests or diseases affecting their crops. End users should submit a text describing the visible symptoms in the plant, and the application returns a sorted list of the most likely causes of the described problem along with the recommended treatments. The prototypical implementation is restricted to the known pathogens infecting almond trees, a crop very rooted in the Spanish agriculture. Early tests have shown promising results.

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Notes

  1. 1.

    https://www.mapa.gob.es/es/agricultura/temas/sanidad-vegetal/productos-fitosanitarios/guias-gestion-plagas/default.aspx.

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Acknowledgements

This work has been partially supported by the Spanish National Research Agency (AEI) and the European Regional Development Fund (FEDER/ERDF) through project KBS4FIA (TIN2016-76323-R), and Seneca Foundation-the Regional Agency for Science and Technology of Murcia (Spain)- through project 20963/PI/18.

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Authors and Affiliations

  1. DIS, Faculty of Computer Science, University of Murcia, 30100, Murcia, Spain

    Carlos Hernández-Castillo & Francisco García-Sánchez

  2. Escuela Internacional de Doctorado, University of Murcia, 30100, Murcia, Spain

    Héctor Hiram Guedea-Noriega

  3. Universidad Rey Juan Carlos, Madrid, Spain

    Miguel Ángel Rodríguez-García

Authors
  1. Carlos Hernández-Castillo
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  2. Héctor Hiram Guedea-Noriega
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  3. Miguel Ángel Rodríguez-García
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  4. Francisco García-Sánchez
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Corresponding author

Correspondence to Francisco García-Sánchez .

Editor information

Editors and Affiliations

  1. Universidad de Murcia, Murcia, Spain

    Rafael Valencia-García

  2. 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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Hernández-Castillo, C., Guedea-Noriega, H.H., Rodríguez-García, M.Á., García-Sánchez, F. (2019). Pest Recognition Using Natural Language Processing. In: Valencia-García, R., Alcaraz-Mármol, G., Del Cioppo-Morstadt, J., Vera-Lucio, N., Bucaram-Leverone, M. (eds) Technologies and Innovation. CITI 2019. Communications in Computer and Information Science, vol 1124. Springer, Cham. https://doi.org/10.1007/978-3-030-34989-9_1

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  • DOI: https://doi.org/10.1007/978-3-030-34989-9_1

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