Brugger, Anna ; Behmann, Jan ; Paulus, Stefan ; Luigs, Hans-Georg ; Kuska, Matheus Thomas ; Schramowski, Patrick ; Kersting, Kristian ; Steiner, Ulrike ; Mahlein, Anne-Katrin (2019)
Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range.
In: Remote Sensing, 11 (12)
doi: 10.3390/rs11121401
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2019 |
| Autor(en): | Brugger, Anna ; Behmann, Jan ; Paulus, Stefan ; Luigs, Hans-Georg ; Kuska, Matheus Thomas ; Schramowski, Patrick ; Kersting, Kristian ; Steiner, Ulrike ; Mahlein, Anne-Katrin |
| Art des Eintrags: | Bibliographie |
| Titel: | Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range |
| Sprache: | Englisch |
| Publikationsjahr: | 2019 |
| Ort: | Basel |
| Verlag: | MDPI |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Remote Sensing |
| Jahrgang/Volume einer Zeitschrift: | 11 |
| (Heft-)Nummer: | 12 |
| Kollation: | 11 Seiten |
| DOI: | 10.3390/rs11121401 |
| Zugehörige Links: | |
| 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 |
| Zusätzliche Informationen: | This article belongs to the Special Issue Advanced Imaging for Plant Phenotyping |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Künstliche Intelligenz und Maschinelles Lernen Zentrale Einrichtungen Zentrale Einrichtungen > Centre for Cognitive Science (CCS) |
| Hinterlegungsdatum: | 02 Mai 2024 13:07 |
| Letzte Änderung: | 02 Mai 2024 13:07 |
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| Suche nach Titel in: | TUfind oder in Google |
Verfügbare Versionen dieses Eintrags
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Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range. (deposited 16 Jan 2024 10:21)
- Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range. (deposited 02 Mai 2024 13:07) [Gegenwärtig angezeigt]
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