A computer vision approach to monitoring the activity and well-being of honeybees

Sanket Kachole, Gordon Hunter, Olga Duran

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Honeybees, in their role as pollinators, are vital to both agriculture and the wider ecosystem. However, they have experienced a serious decline across much of the world over recent years. Monitoring their well-being, and taking appropriate action if that is in jeopardy, has thus become a matter of great importance. In this paper, we present an approach based on computer vision to monitor bee activity and motion in the vicinity of an entrance/exit to a hive, including identifying and counting the number of bees approaching or leaving the hive in a given image frame or sequence of image frames.
    Original languageEnglish
    Title of host publicationThis work was supported by Kingston University. Published in Iglesias, Carlos A., Novella, Jose Ignacio, Ricci, Alessandro, Pinto, Diego Rivera and Roman, Dumitru (eds.) (2020) Intelligent environments 2020. Amsterdam : IOS Press BV. Ambient Intelligence and Smart Environments, 28, pp. 152-161. ISBN: 9781643680903.
    DOIs
    Publication statusPublished - Jul 2020

    Bibliographical note

    Note: This work was supported by Kingston University.

    Published in Iglesias, Carlos A., Novella, Jose Ignacio, Ricci, Alessandro, Pinto, Diego Rivera and Roman, Dumitru (eds.) (2020) Intelligent environments 2020. Amsterdam : IOS Press BV. Ambient Intelligence and Smart Environments, 28, pp. 152-161. ISBN: 9781643680903.

    Keywords

    • Computer science and informatics

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