Literature DB >> 18284775

Spectral response of cotton aphid- (Homoptera: Aphididae) and spider mite- (Acari: Tetranychidae) infested cotton: controlled studies.

Dominic Reisig1, Larry Godfrey.   

Abstract

Remote sensing is a precision tool that can detect plant health. Ground-based methods in small-scale experiments were used to explore the applicability of this technology for detection of arthropod-damaged cotton and to find useful indices or wavelengths for detecting arthropod-damaged cotton. Individual leaves of greenhouse-grown cotton plants and cotton plants in the field were infested with populations of cotton aphids, spider mites, and aphids + mites. Several sets of reflectance measurements were collected from the adaxial surface of the leaves at various intervals after infestation using a portable hyperspectral spectrometer with an integrating sphere or a contact probe. Vegetation indices were calculated from the reflectance values; these indices and the raw reflectance values, represented by narrow wavelength bands, were tested to see if arthropod damaged cotton could be distinguished from healthy cotton. Results indicated that it was possible to detect cotton aphid- and spider mite-damaged leaves by tracking the spectral changes in the leaf, although the damage type of each arthropod could not be distinguished spectrally. In addition, spider mite- and aphid-infested cotton leaves increased reflectance in the near infrared wavelength at approximately 850 nm in comparison to uninfested leaves.

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Year:  2007        PMID: 18284775     DOI: 10.1603/0046-225x(2007)36[1466:srocah]2.0.co;2

Source DB:  PubMed          Journal:  Environ Entomol        ISSN: 0046-225X            Impact factor:   2.377


  4 in total

1.  Soybean Aphid (Hemiptera: Aphididae) Affects Soybean Spectral Reflectance.

Authors:  Tavvs M Alves; Ian V Macrae; Robert L Koch
Journal:  J Econ Entomol       Date:  2015-08-19       Impact factor: 2.381

2.  Remote Sensing Data to Detect Hessian Fly Infestation in Commercial Wheat Fields.

Authors:  Ganesh P Bhattarai; Ryan B Schmid; Brian P McCornack
Journal:  Sci Rep       Date:  2019-04-16       Impact factor: 4.379

3.  Remote Sensing Evaluation of Two-spotted Spider Mite Damage on Greenhouse Cotton.

Authors:  Daniel E Martin; Mohamed A Latheef
Journal:  J Vis Exp       Date:  2017-04-28       Impact factor: 1.355

4.  Early infestations by arthropod pests induce unique changes in plant compositional traits and leaf reflectance.

Authors:  Christian Nansen; Machiko Murdock; Rachel Purington; Stuart Marshall
Journal:  Pest Manag Sci       Date:  2021-07-26       Impact factor: 4.462

  4 in total

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