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Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range

Institute for Crop Science and Resource Conservation (INRES)—Plant Diseases and Plant Protection, University of Bonn, Nussallee 9, 53115 Bonn, Germany
Institute for Sugar Beet Research, Holtenser Landstraße 77, 37079 Göttingen, Germany
LemnaTec GmbH, Pascalstraße 59, 52076 Aachen, Germany
Kuratorium für Versuchswesen und Beratung im Zuckerrübenanbau, Maximilianstraße 10, 68165 Mannheim, Germany
Technical University Darmstadt, Computer Science Department and Centre for Cognitive Science, Hochschulstrasse 1, 64289 Darmstadt, Germany
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(12), 1401;
Received: 29 April 2019 / Revised: 3 June 2019 / Accepted: 7 June 2019 / Published: 12 June 2019
(This article belongs to the Special Issue Advanced Imaging for Plant Phenotyping)
Previous plant phenotyping studies have focused on the visible (VIS, 400–700 nm), near-infrared (NIR, 700–1000 nm) and short-wave infrared (SWIR, 1000–2500 nm) range. The ultraviolet range (UV, 200–380 nm) has not yet been used in plant phenotyping even though a number of plant molecules like flavones and phenol feature absorption maxima in this range. In this study an imaging UV line scanner in the range of 250–430 nm is introduced to investigate crop plants for plant phenotyping. Observing plants in the UV-range can provide information about important changes of plant substances. To record reliable and reproducible time series results, measurement conditions were defined that exclude phototoxic effects of UV-illumination in the plant tissue. The measurement quality of the UV-camera has been assessed by comparing it to a non-imaging UV-spectrometer by measuring six different plant-based substances. Given the findings of these preliminary studies, an experiment has been defined and performed monitoring the stress response of barley leaves to salt stress. The aim was to visualize the effects of abiotic stress within the UV-range to provide new insights into the stress response of plants. Our study demonstrated the first use of a hyperspectral sensor in the UV-range for stress detection in plant phenotyping. View Full-Text
Keywords: plant substances; hyperspectral imaging; UV-range; abiotic stress plant substances; hyperspectral imaging; UV-range; abiotic stress
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MDPI and ACS Style

Brugger, A.; Behmann, J.; Paulus, S.; Luigs, H.-G.; Kuska, M.T.; Schramowski, P.; Kersting, K.; Steiner, U.; Mahlein, A.-K. Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range. Remote Sens. 2019, 11, 1401.

AMA Style

Brugger A, Behmann J, Paulus S, Luigs H-G, Kuska MT, Schramowski P, Kersting K, Steiner U, Mahlein A-K. Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range. Remote Sensing. 2019; 11(12):1401.

Chicago/Turabian Style

Brugger, Anna, Jan Behmann, Stefan Paulus, Hans-Georg Luigs, Matheus T. Kuska, Patrick Schramowski, Kristian Kersting, Ulrike Steiner, and Anne-Katrin Mahlein. 2019. "Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range" Remote Sensing 11, no. 12: 1401.

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