Brugger, Anna ; Behmann, Jan ; Paulus, Stefan ; Luigs, Hans-Georg ; Kuska, Matheus Thomas ; Schramowski, Patrick ; Kersting, Kristian ; Steiner, Ulrike ; Mahlein, Anne-Katrin (2024)
Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range.
In: Remote Sensing, 2019, 11 (12)
doi: 10.26083/tuprints-00016743
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range |
Language: | English |
Date: | 16 January 2024 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2019 |
Place of primary publication: | Basel |
Publisher: | MDPI |
Journal or Publication Title: | Remote Sensing |
Volume of the journal: | 11 |
Issue Number: | 12 |
Collation: | 11 Seiten |
DOI: | 10.26083/tuprints-00016743 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
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. |
Uncontrolled Keywords: | plant substances, hyperspectral imaging, UV-range, abiotic stress |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-167432 |
Additional Information: | This article belongs to the Special Issue Advanced Imaging for Plant Phenotyping |
Classification DDC: | 000 Generalities, computers, information > 004 Computer science 600 Technology, medicine, applied sciences > 600 Technology |
Divisions: | 20 Department of Computer Science > Artificial Intelligence and Machine Learning Zentrale Einrichtungen > Centre for Cognitive Science (CCS) |
Date Deposited: | 16 Jan 2024 10:21 |
Last Modified: | 08 Feb 2024 12:20 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/16743 |
PPN: | 515301175 |
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