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Hyperspectral and Chlorophyll Fluorescence Imaging for Early Detection of Plant Diseases, with Special Reference to Fusarium spec. Infections on Wheat

Author

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  • Elke Bauriegel

    () (Leibniz Institut für Agrartechnik Potsdam-Bornim, Max-Eyth-Allee 100, D-14469 Potsdam, Germany)

  • Werner B. Herppich

    () (Leibniz Institut für Agrartechnik Potsdam-Bornim, Max-Eyth-Allee 100, D-14469 Potsdam, Germany)

Abstract

In recent years, market pressures have reinforced the demand to solve the problem of an increased occurrence of Fusarium head blight (FHB) in cereal production, especially in wheat. The symptoms of this disease are clearly detectable by means of image analysis. This technique can therefore be used to map occurrence and extent of Fusarium infections. From this perspective, a separate harvest in the field can be taken into consideration. Based on the application of chlorophyll fluorescence and hyperspectral imaging, characteristics, requirements and limitations of Fusarium detection on wheat, both in the field and in the laboratory, are discussed. While the modification of spectral signatures due to fungal infection allows its detection by hyperspectral imaging, the decreased physiological activity of tissues resulting from Fusarium impacts provides the base for CFI analyses. In addition, the two methods are compared in view of their usability for the detection of Fusarium , and different approaches for data analysis are presented.

Suggested Citation

  • 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, Open Access Journal, vol. 4(1), pages 1-26, March.
  • Handle: RePEc:gam:jagris:v:4:y:2014:i:1:p:32-57:d:34384
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    References listed on IDEAS

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    1. anonymous, 2000. "The brave new world of agriculture," EconSouth, Federal Reserve Bank of Atlanta, issue Q3, pages 8-13.
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    Cited by:

    1. 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, Open Access Journal, vol. 6(2), pages 1-21, May.

    More about this item

    Keywords

    head blight; differentiated spatial analysis; imaging; Triticum spp.; quality and safety of cereals;

    JEL classification:

    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy

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