Multitemporal spectroscopy for crop stress detection using band selection methods

Thorsten Mewes; Jonas Franke; Gunter Menz

doi:10.1117/12.794719

27 August 2008 Multitemporal spectroscopy for crop stress detection using band selection methods

Thorsten Mewes, Jonas Franke, Gunter Menz

Proceedings Volume 7086, Imaging Spectrometry XIII; 70860A (2008) https://doi.org/10.1117/12.794719
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

A fast and precise sensor-based identification of pathogen infestations in wheat stands is essential for the implementation of site-specific fungicide applications. Several works have shown possibilities and limitations for the detection of plant stress using spectral sensor data. Hyperspectral data provide the opportunity to collect spectral reflectance in contiguous bands over a broad range of the electromagnetic spectrum. Individual phenomena like the light absorption of leaf pigments can be examined in detail. The precise knowledge of stress-dependent shifting in certain spectral wavelengths provides great advantages in detecting fungal infections. This study focuses on band selection techniques for hyperspectral data to identify relevant and redundant information in spectra regarding a detection of plant stress caused by pathogens. In a laboratory experiment, five 1 sqm boxes with wheat were multitemporarily measured by a ASD Fieldspec® 3 FR spectroradiometer. Two stands were inoculated with Blumeria graminis - the pathogen causing powdery mildew - and one stand was used to simulate the effect of water deficiency. Two stands were kept healthy as control stands. Daily measurements of the spectral reflectance were taken over a 14-day period. Three ASD Pro Lamps were used to illuminate the plots with constant light. By applying band selection techniques, the three types of different wheat vitality could be accurately differentiated at certain stages. Hyperspectral data can provide precise information about pathogen infestations. The reduction of the spectral dimension of sensor data by means of band selection procedures is an appropriate method to speed up the data supply for precision agriculture.

Citation Download Citation

Thorsten Mewes, Jonas Franke, and Gunter Menz "Multitemporal spectroscopy for crop stress detection using band selection methods", Proc. SPIE 7086, Imaging Spectrometry XIII, 70860A (27 August 2008); https://doi.org/10.1117/12.794719

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