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Remote Sensing for the Detection of Soil-Borne Plant Parasitic Nematodes and Fungal Pathogens

  • Christian Hillnhütter
  • Astrid Schweizer
  • Volker Kühnhold
  • Richard A. Sikora
Chapter

Abstract

This chapter reviews past developments and the present state-of-the-art remote sensing for the detection of soil-borne nematodes and plant pathogens . Nematodes and soil-borne pathogens are considered ideal targets for the application of precision agriculture with non-contact sensing methodologies. The clustered occurrence and low level of mobility of nematodes and pathogens in the soil and the induction of symptoms in the leaves make them perfect targets for remote sensing detection. Data obtained with infrared thermography and hyperspectral reflectance for the remote sensing of plant parasitic nematodes and root rotting fungi in sugar beet as well as delineation of complex-disease interactions is also presented. The management of these two pest groups usually relies on full field pesticide treatments, even when only a small section of the field is infested. This underscores the need for remote sensing of disease clusters and the resulting application of site-specific management .

Keywords

Normalize Difference Vegetation Index Remote Sense Rhizoctonia Solani Hyperspectral Data Pulse Amplitude Modulate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The authors acknowledge financial support of the German Research Foundation (DFG). In addition we would like to recognize the strong support offered to us by the late Dr. Josef Schlang, nematologist at the Biologische Bundesanstalt, Institute for Nematology, Elsdorf, Germany who assisted us in many of the initial field trials.

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Copyright information

© Springer Science+Business Media B.V.  2010

Authors and Affiliations

  • Christian Hillnhütter
    • 1
  • Astrid Schweizer
    • 1
  • Volker Kühnhold
    • 1
  • Richard A. Sikora
    • 1
  1. 1.Institute of Crop Science and Resource Conservation (INRES) – PhytomedicineBonnGermany

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