Spectral signatures of diseased sugar beet leaves

A.-K. Mahlein; U. Steiner; H.-W. Dehne; E.-C. Oerke

Spectral signatures of diseased sugar beet leaves

In: Precision agriculture '09

Authors:

A.-K. Mahlein

A.-K. Mahlein Institute for Crop Science and Resource Conservation (INRES) – Phytomedicine, University of Bonn, Nussallee 9, 53115 Bonn, Germany; amahlein@uni-bonn.de

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U. Steiner

U. Steiner Institute for Crop Science and Resource Conservation (INRES) – Phytomedicine, University of Bonn, Nussallee 9, 53115 Bonn, Germany; amahlein@uni-bonn.de

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H.-W. Dehne

H.-W. Dehne Institute for Crop Science and Resource Conservation (INRES) – Phytomedicine, University of Bonn, Nussallee 9, 53115 Bonn, Germany; amahlein@uni-bonn.de

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, and

E.-C. Oerke

E.-C. Oerke Institute for Crop Science and Resource Conservation (INRES) – Phytomedicine, University of Bonn, Nussallee 9, 53115 Bonn, Germany; amahlein@uni-bonn.de

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Type:: Chapter

Pages:: 271–278

DOI:: https://doi.org/10.1163/9789086866649_033

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Abstract

Crop diseases are often distributed heterogeneously in agricultural fields. An understanding of the spatial and temporal distribution and spread of pathogens is necessary for site-specific fungicide applications. As shown in previous studies, remote sensing can be a useful device to detect and observe spectral differences in the field. Conventional remote-sensing techniques use vegetation indices to describe the vitality of vegetation cover. Remote sensing is used for the assessment of the effect on yield formation of crops; however, there are limitations of these approaches for disease detection. In this study non-imaging hyperspectral near-range sensing was used to examine its potential to detect and identify fungal diseases on sugar beet leaves. The spectral properties of sugar beet plants infested with Cercospora beticola (Sacc), Erysiphe betae (Vanha) Weltzien, and Uromyces betae (Persoon) Lev. have been assessed during pathogenesis. Using a handheld spectrometer, reflectance spectra from diseased plants in the range from 450 to 1,050 nm were investigated on the leaf and plant level. Significant differences between the disease-specific spectra were detected in the visible range and in the near infrared range. Structural and pigmentation indices used in remote sensing – NDVI, PSSR, ARI, SIPI, mCAI, and REP - indicated significant differences in plant vitality depending on the disease. The hyperspectral vegetation indices calculated from leaf spectra showed disease-specific decreases in the chlorophyll content of plants. Infestations of C beticola and U betae caused increased values of the anthocyanin reflectance index.

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Precision agriculture '09

E-Book ISBN:: 9789086866649

Publisher:: Wageningen Academic

Print Publication Date:: 01 Jan 2009

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Spectral signatures of diseased sugar beet leaves

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Precision agriculture '09

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