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    Predicting And Mapping Of Honey Flow From Corymbia Calophylla Trees With Remote Sensing

    Campbell T 2020.pdf (15.18Mb)
    Access Status
    Open access
    Authors
    Campbell, Tristan
    Date
    2020
    Supervisor
    Peter Fearns
    Type
    Thesis
    Award
    PhD
    
    Metadata
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    Faculty
    Science and Engineering
    School
    School of Earth and Planetary Sciences
    Remote Sensing and Satellite Research Group (RSSRG)
    URI
    http://hdl.handle.net/20.500.11937/81507
    Collection
    • Curtin Theses
    Abstract

    The thesis presents research into predicting and mapping seasonal honey production from marri trees (Corymbia calophylla) in Western Australia, which produce some of the highest antimicrobial honey in the world. Through a combination of drone imagery, satellite and weather data and machine learning, a model to predict honey yields to 90% accuracy has been developed as well as several tools to map flower coverage during the honey producing season.

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