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Filtering by: Committee Member Holman, Robert A. Remove constraint Committee Member: Holman, Robert A. Contributor sim Scott, Christopher Remove constraint Contributor sim: Scott, Christopher

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  • Pacific Madrone Leaf Blight Detection with Unmanned Aerial Systems and Machine Learning

    Creator:
    Barker, Matthew I.
    Abstract:
    Ground-based assessments of foliar diseases including leaf blight are time-consuming and costly. We investigated the potential for using an unmanned aerial system (UAS) in conjunction with a multispectral sensor to determine whether we could more efficiently and reliably detect and quantify leaf blight in Pacific madrones. Our methods included ground-based...
    Resource Type:
    Masters Thesis
    Full Text:
    investigated the potential for using an unmanned aerial system (UAS) in conjunction with a multispectral