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Computer Vision in Agriculture

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  • First Online:
Encyclopedia of Smart Agriculture Technologies

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Abstract

This chapter provides an overview of the use of computer vision in agriculture, summarizing the development and current state of this technology in both the field and postharvest. The objective is to present the evolution of this technology, the most used techniques, the types of sensors, and the main tasks that can be automated. It outlines the components of computer vision systems, reviews standard image processing methods, and discusses the pros and cons of the technologies used. Two examples show how computer vision is used to automate agriculture, including field monitoring with agricultural robots and product inspection after harvest. Finally, the future possibilities of optical technology in agriculture are explored.

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References

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Author information

Authors and Affiliations

  1. Centro de Agroingeniería, Instituto Valenciano de Investigaciones Agrarias (IVIA), Moncada, Valencia, Spain

    Jose Blasco

  2. Departamento de Ingeniería Gráfica, Universitat Politècnica de València, Valencia, Spain

    Nuria Aleixos

Authors
  1. Jose Blasco
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  2. Nuria Aleixos
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Corresponding author

Correspondence to Jose Blasco .

Editor information

Editors and Affiliations

  1. Biological Systems Engineering, Washington State University, Prosser, WA, USA

    Qin Zhang

Section Editor information

  1. Biol. and Agricultural Engineering, UC Davis, Davis, United States

    Irwin R. Donis-Gonzalez

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Blasco, J., Aleixos, N. (2023). Computer Vision in Agriculture. In: Zhang, Q. (eds) Encyclopedia of Smart Agriculture Technologies. Springer, Cham. https://doi.org/10.1007/978-3-030-89123-7_45-1

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  • DOI: https://doi.org/10.1007/978-3-030-89123-7_45-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89123-7

  • Online ISBN: 978-3-030-89123-7

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

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