Non-invasive measurement techniques on plants

    HBLFA Raumberg-Gumpenstein

    Non-invasive measurement techniques on plants

    In addition to surveys of soil, nutrient and water balance in grassland, the characterization, evaluation and assessment of plant populations is particularly important. Traditional, destructive surveys such as yield determination through mowing, weighing, sampling and analytical studies in the chemical laboratory only enable limited data collection, usually limited to the time of harvest. The use of non-invasive survey methods allows the dynamic observation of various parameters through continuous measurements on the same individual without affecting their growth and development. With such time series you can, for example, show population changes, development of biomass and growth processes over defined periods of time, such as an entire growth.

    At the HBLFA Raumberg-Gumpenstein, non-invasive survey methods have been increasingly used on permanent grassland since 2013, such as ultrasound technology to determine plant height or field spectroscopy to determine vegetation indices. In order to efficiently carry out extensive measurement campaigns in numerous grassland experiments and projects, a mobile measurement platform was developed on which several non-invasive measurement techniques are combined. With the help of this mobile measuring unit, measurements can now be carried out under precisely standardized conditions with minimal personnel effort and the highest possible quality and reproducibility.

    Fig1: Motor-controlled measuring strip with installed sensors

    Fig2: Field spectroscopic surveys

    Fig3: Determination of growth height using ultrasonic sensors

    Fig4: Photo documentation using a GoPro camera

    team

    Schweiger Medardus

    Medardus Schweiger

    Grassland management and cultural landscape
    Schaumberger Andreas, Dr.

    Mag. MSc. Andreas Schaumberger

    Grassland management and cultural landscape
    Adelwöhrer Manuel

    Manuel Adelwoehrer

    Agricultural and environmental informatics