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  5. Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range
 
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2019
Zweitveröffentlichung
Artikel
Verlagsversion

Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range

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Hauptpublikation
remotesensing-11-01401.pdf
CC BY 4.0 International
Format: Adobe PDF
Size: 13.64 MB
TUDa URI
tuda/6623
URN
urn:nbn:de:tuda-tuprints-167432
DOI
10.26083/tuprints-00016743
Autor:innen
Brugger, Anna
Behmann, Jan
Paulus, Stefan
Luigs, Hans-Georg
Kuska, Matheus Thomas
Schramowski, Patrick ORCID 0000-0003-1231-7120
Kersting, Kristian ORCID 0000-0002-2873-9152
Steiner, Ulrike
Mahlein, Anne-Katrin
Kurzbeschreibung (Abstract)

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.

Freie Schlagworte

plant substances

hyperspectral imaging...

UV-range

abiotic stress

Sprache
Englisch
Fachbereich/-gebiet
20 Fachbereich Informatik > Künstliche Intelligenz und Maschinelles Lernen
Zentrale Einrichtungen > Centre for Cognitive Science (CCS)
DDC
000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
600 Technik, Medizin, angewandte Wissenschaften > 600 Technik
Institution
Universitäts- und Landesbibliothek Darmstadt
Ort
Darmstadt
Titel der Zeitschrift / Schriftenreihe
Remote Sensing
Jahrgang der Zeitschrift
11
Heftnummer der Zeitschrift
12
ISSN
2072-4292
Verlag
MDPI
Ort der Erstveröffentlichung
Basel
Publikationsjahr der Erstveröffentlichung
2019
Verlags-DOI
10.3390/rs11121401
PPN
515301175
Zusätzliche Infomationen
This article belongs to the Special Issue Advanced Imaging for Plant Phenotyping

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