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Using Optical Sensors to Identify Water Deprivation, Nitrogen Shortage, Weed Presence and Fungal Infection in Wheat

Author

Listed:
  • Gerassimos G. Peteinatos

    (Institute of Phytomedicine, University Hohenheim, Otto-Sander-Straße 5, Stuttgart 70599, Germany)

  • Audun Korsaeth

    (Norwegian Institute of Bioeconomy Research (NIBIO), P.O. Box 115, N-1431 Ås, Norway)

  • Therese W. Berge

    (Norwegian Institute of Bioeconomy Research (NIBIO), P.O. Box 115, N-1431 Ås, Norway)

  • Roland Gerhards

    (Institute of Phytomedicine, University Hohenheim, Otto-Sander-Straße 5, Stuttgart 70599, Germany)

Abstract

The success of precision agriculture relies largely on our ability to identify how the plants’ growth limiting factors vary in time and space. In the field, several stress factors may occur simultaneously, and it is thus crucial to be able to identify the key limitation, in order to decide upon the correct contra-action, e.g., herbicide application. We performed a pot experiment, in which spring wheat was exposed to water shortage, nitrogen deficiency, weed competition ( Sinapis alba L.) and fungal infection ( Blumeria graminis f. sp. tritici ) in a complete, factorial design. A range of sensor measurements were taken every third day from the two-leaf stage until booting of the wheat (BBCH 12 to 40). Already during the first 10 days after stress induction (DAS), both fluorescence measurements and spectral vegetation indices were able to differentiate between non-stressed and stressed wheat plants exposed to water shortage, weed competition or fungal infection. This meant that water shortage and fungal infection could be detected prior to visible symptoms. Nitrogen shortage was detected on the 11–20 DAS. Differentiation of more than one stress factors with the same index was difficult.

Suggested Citation

  • Gerassimos G. Peteinatos & Audun Korsaeth & Therese W. Berge & Roland Gerhards, 2016. "Using Optical Sensors to Identify Water Deprivation, Nitrogen Shortage, Weed Presence and Fungal Infection in Wheat," Agriculture, MDPI, vol. 6(2), pages 1-21, May.
    • Handle: RePEc:gam:jagris:v:6:y:2016:i:2:p:24-:d:70908
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    References listed on IDEAS

    as
    1. Elke Bauriegel & Werner B. Herppich, 2014. "Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat," Agriculture, MDPI, vol. 4(1), pages 1-26, March.
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    Cited by:

    1. Christoph W. Zecha & Johanna Link & Wilhelm Claupein, 2017. "Fluorescence and Reflectance Sensor Comparison in Winter Wheat," Agriculture, MDPI, vol. 7(9), pages 1-14, September.
    2. Christoph W. Zecha & Gerassimos G. Peteinatos & Johanna Link & Wilhelm Claupein, 2018. "Utilisation of Ground and Airborne Optical Sensors for Nitrogen Level Identification and Yield Prediction in Wheat," Agriculture, MDPI, vol. 8(6), pages 1-13, June.
    3. Flavio Borfecchia & Paola Crinò & Angelo Correnti & Anna Farneti & Luigi De Cecco & Domenica Masci & Luciano Blasi & Domenico Iantosca & Vito Pignatelli & Carla Micheli, 2020. "Assessing the Impact of Water Salinization Stress on Biomass Yield of Cardoon Bio-Energetic Crops through Remote Sensing Techniques," Resources, MDPI, vol. 9(10), pages 1-27, October.
    4. Siti Nadhirah Zainurin & Wan Zakiah Wan Ismail & Wan Aina Nadhirah Wan Azlan & Khairul Nabilah Zainul Ariffin & Wan Maryam Wan Ahmad Kamil, 2023. "Developing a Portable Spectrometer to Detect Chemical Contaminants in Irrigation Water," Agriculture, MDPI, vol. 13(6), pages 1-14, June.

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