IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i5p617-d803085.html
   My bibliography  Save this article

Application of Infrared Imaging for Early Detection of Downy Mildew ( Plasmopara viticola ) in Grapevine

Author

Listed:
  • Shamaila Zia-Khan

    (Institute of Agricultural Engineering, Tropics and Subtropics Group (440e), University of Hohenheim, Garbenstrasse 9, 70599 Stuttgart, Germany)

  • Melissa Kleb

    (Institute of Crop Science, Department of Quality of Plant Products, Viticulture (340e), University of Hohenheim, Emil-Wolff-Strasse 35, 70599 Stuttgart, Germany)

  • Nikolaus Merkt

    (Institute of Crop Science, Department of Quality of Plant Products, Viticulture (340e), University of Hohenheim, Emil-Wolff-Strasse 35, 70599 Stuttgart, Germany)

  • Steffen Schock

    (Institute of Agricultural Engineering, Tropics and Subtropics Group (440e), University of Hohenheim, Garbenstrasse 9, 70599 Stuttgart, Germany)

  • Joachim Müller

    (Institute of Agricultural Engineering, Tropics and Subtropics Group (440e), University of Hohenheim, Garbenstrasse 9, 70599 Stuttgart, Germany)

Abstract

Late detection of fungal infection is the main cause of inadequate disease control, affecting fruit quality and reducing yield of grapevine. Therefore, infrared imagery as a remote sensing technique was investigated in this study as a potential tool for early disease detection. Experiments were conducted under field conditions, and the effects of temporal and spatial variability in the leaf temperature of grapevine infected by Plasmopara viticola were studied. Evidence of the grapevine’s thermal response is a 3.2 °C increase in leaf temperature that occurred long before visible symptoms appeared. In our study, a correlation of R 2 = 0.76 at high significance level ( p ≤ 0.001) was found between disease severity and MTD. Since the pathogen attack alters plant metabolic activities and stomatal conductance, the sensitivity of leaf temperature to leaf transpiration is high and can be used to monitor irregularities in temperature at an early stage of pathogen development.

Suggested Citation

  • Shamaila Zia-Khan & Melissa Kleb & Nikolaus Merkt & Steffen Schock & Joachim Müller, 2022. "Application of Infrared Imaging for Early Detection of Downy Mildew ( Plasmopara viticola ) in Grapevine," Agriculture, MDPI, vol. 12(5), pages 1-12, April.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:5:p:617-:d:803085
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/5/617/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/12/5/617/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gerard Morales & Concepció Moragrega & Emilio Montesinos & Isidre Llorente, 2018. "Effects of leaf wetness duration and temperature on infection of Prunus by Xanthomonas arboricola pv. pruni," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-15, March.
    2. Ali Zamani & Alireza Sharifi & Shilan Felegari & Aqil Tariq & Na Zhao, 2022. "Agro Climatic Zoning of Saffron Culture in Miyaneh City by Using WLC Method and Remote Sensing Data," Agriculture, MDPI, vol. 12(1), pages 1-15, January.
    3. Yuxuan Wang & Shamaila Zia-Khan & Sebastian Owusu-Adu & Thomas Miedaner & Joachim Müller, 2019. "Early Detection of Zymoseptoria tritici in Winter Wheat by Infrared Thermography," Agriculture, MDPI, vol. 9(7), pages 1-11, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Meriem Barbouchi & Rachid Lhissou & Riadh Abdelfattah & Anas El Alem & Karem Chokmani & Nadhira Ben Aissa & Hatem Cheikh M’hamed & Mohamed Annabi & Haithem Bahri, 2022. "The Potential of Using Radarsat-2 Satellite Image for Modeling and Mapping Wheat Yield in a Semiarid Environment," Agriculture, MDPI, vol. 12(3), pages 1-15, February.
    2. Ahmed Kayad & Dimitrios S. Paraforos & Francesco Marinello & Spyros Fountas, 2020. "Latest Advances in Sensor Applications in Agriculture," Agriculture, MDPI, vol. 10(8), pages 1-8, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:12:y:2022:i:5:p:617-:d:803085. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.