Pervasive agriculture: Measuring and predicting plant growth using statistics and 2D/3D imaging

Dmitrii Shadrin, Andrey Somov, Tatiana Podladchikova, Rupert Gerzer

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

    11 Citations (Scopus)

    Abstract

    The growing of Earth population and the need of food provisioning to remote areas make pervasive agriculture the research problem of high priority. In this work, we present a 2D/3D scanning system with the intelligent data processing mechanism which can be easily deployed in a greenhouse. The proposed solution enables finding of correlations between the leaf area and biomass and thereby helps predict the plant metrics including the growth rate and leaf area. This knowledge is of particular significance for actuating the plant growth parameters depending on the context and feedback. Our experimental results conducted on two sorts of tomatoes and salad demonstrate high potential of this approach.

    Original languageEnglish
    Title of host publicationI2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference
    Subtitle of host publicationDiscovering New Horizons in Instrumentation and Measurement, Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-6
    Number of pages6
    ISBN (Electronic)9781538622223
    DOIs
    Publication statusPublished - 10 Jul 2018
    Event2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018 - Houston, United States
    Duration: 14 May 201817 May 2018

    Publication series

    NameI2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference: Discovering New Horizons in Instrumentation and Measurement, Proceedings

    Conference

    Conference2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018
    Country/TerritoryUnited States
    CityHouston
    Period14/05/1817/05/18

    Keywords

    • 3D imaging
    • growth rate
    • image-based modeling
    • pervasive agriculture
    • plant modeling

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