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Use of Technologies of Image Recognition in Agriculture: Systematic Review of Literature

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Technologies and Innovation (CITI 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 883))

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Abstract

In the last decades, the mechanization of productive processes has focused on replacing the tasks performed by people with machines. However nowadays, the integration of software, robots and artificial intelligence point to the automation in agriculture. This is of great importance for the increase of productivity and the economic growth of the country solving in this way the lack of workforce and its associated high costs, offering great benefits to population. Currently, researchers are developing numerous fruit and vegetable classification algorithms, of which essential parameter is color; that allows the detection of nutrient deficiencies, diagnosis of diseases and fruit quality; the same ones that have proven to be accurate and require less time compared to traditional methods. The aim of this article is to provide a systematic review of classifying techniques through machine learning, its components and the utility for the agronomist.

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Authors and Affiliations

  1. Engineering School of Computation and Informatics, Faculty of Agricultural Science, Universidad Agraria del Ecuador, Av. 25 de Julio y Pio Jaramillo, P.O. BOX 09-04-100, Guayaquil, Ecuador

    Carlota Delgado-Vera, Karen Mite-Baidal, Raquel Gomez-Chabla, Evelyn Solís-Avilés & Ana Rodríguez

  2. Engineering School of Agronomy, Faculty of Agricultural Science, Universidad Agraria del Ecuador, Av. 25 de Julio y Pio Jaramillo, P.O. BOX 09-04-100, Guayaquil, Ecuador

    Sergio Merchán-Benavides

Authors
  1. Carlota Delgado-Vera
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  2. Karen Mite-Baidal
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  3. Raquel Gomez-Chabla
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  4. Evelyn Solís-Avilés
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  5. Sergio Merchán-Benavides
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  6. Ana Rodríguez
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Corresponding author

Correspondence to Carlota Delgado-Vera .

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, Ciudad Real, Ciudad Real, 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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Delgado-Vera, C., Mite-Baidal, K., Gomez-Chabla, R., Solís-Avilés, E., Merchán-Benavides, S., Rodríguez, A. (2018). Use of Technologies of Image Recognition in Agriculture: Systematic Review of Literature. In: Valencia-García, R., Alcaraz-Mármol, G., Del Cioppo-Morstadt, J., Vera-Lucio, N., Bucaram-Leverone, M. (eds) Technologies and Innovation. CITI 2018. Communications in Computer and Information Science, vol 883. Springer, Cham. https://doi.org/10.1007/978-3-030-00940-3_2

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  • DOI: https://doi.org/10.1007/978-3-030-00940-3_2

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  • Online ISBN: 978-3-030-00940-3

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