Application of digital image processing for pot plant grading

J. Dijkstra

    Research output: Thesisinternal PhD, WU

    Abstract

    <p>The application of digital image processing for grading of pot plants has been studied. Different techniques e.q. plant part identification based on knowledge based segmentation, have been developed to measure features of plants in different growth stage. Growth experiments were performed to identify grading features and to test whether it is possible to grade pot plants in homogeneous groups. Judgement experiments were performed to test whether it is possible to grade plants as good as man do. For the grading experiments decision models based on regression equations and neural networks have been developed.
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    Supervisors/Advisors
    • Speelman, L., Promotor
    Award date22 Dec 1994
    Place of PublicationS.l.
    Publisher
    Print ISBNs9789054853374
    Publication statusPublished - 1994

    Keywords

    • remote sensing
    • image processing
    • pot plants
    • quality
    • performance
    • indoor culture

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