{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T23:30:38Z","timestamp":1762299038604,"version":"build-2065373602"},"reference-count":36,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2019,6,12]],"date-time":"2019-06-12T00:00:00Z","timestamp":1560297600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005908","name":"Bundesministerium f\u00fcr Ern\u00e4hrung und Landwirtschaft","doi-asserted-by":"publisher","award":["DePhenSe"],"award-info":[{"award-number":["DePhenSe"]}],"id":[{"id":"10.13039\/501100005908","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Previous plant phenotyping studies have focused on the visible (VIS, 400\u2013700 nm), near-infrared (NIR, 700\u20131000 nm) and short-wave infrared (SWIR, 1000\u20132500 nm) range. The ultraviolet range (UV, 200\u2013380 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\u2013430 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.<\/jats:p>","DOI":"10.3390\/rs11121401","type":"journal-article","created":{"date-parts":[[2019,6,12]],"date-time":"2019-06-12T10:55:19Z","timestamp":1560336919000},"page":"1401","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range"],"prefix":"10.3390","volume":"11","author":[{"given":"Anna","family":"Brugger","sequence":"first","affiliation":[{"name":"Institute for Crop Science and Resource Conservation (INRES)\u2014Plant Diseases and Plant Protection, University of Bonn, Nussallee 9, 53115 Bonn, Germany"}]},{"given":"Jan","family":"Behmann","sequence":"additional","affiliation":[{"name":"Institute for Crop Science and Resource Conservation (INRES)\u2014Plant Diseases and Plant Protection, University of Bonn, Nussallee 9, 53115 Bonn, Germany"}]},{"given":"Stefan","family":"Paulus","sequence":"additional","affiliation":[{"name":"Institute for Sugar Beet Research, Holtenser Landstra\u00dfe 77, 37079 G\u00f6ttingen, Germany"}]},{"given":"Hans-Georg","family":"Luigs","sequence":"additional","affiliation":[{"name":"LemnaTec GmbH, Pascalstra\u00dfe 59, 52076 Aachen, Germany"}]},{"given":"Matheus Thomas","family":"Kuska","sequence":"additional","affiliation":[{"name":"Kuratorium f\u00fcr Versuchswesen und Beratung im Zuckerr\u00fcbenanbau, Maximilianstra\u00dfe 10, 68165 Mannheim, Germany"}]},{"given":"Patrick","family":"Schramowski","sequence":"additional","affiliation":[{"name":"Technical University Darmstadt, Computer Science Department and Centre for Cognitive Science, Hochschulstrasse 1, 64289 Darmstadt, Germany"}]},{"given":"Kristian","family":"Kersting","sequence":"additional","affiliation":[{"name":"Technical University Darmstadt, Computer Science Department and Centre for Cognitive Science, Hochschulstrasse 1, 64289 Darmstadt, Germany"}]},{"given":"Ulrike","family":"Steiner","sequence":"additional","affiliation":[{"name":"Institute for Crop Science and Resource Conservation (INRES)\u2014Plant Diseases and Plant Protection, University of Bonn, Nussallee 9, 53115 Bonn, Germany"}]},{"given":"Anne-Katrin","family":"Mahlein","sequence":"additional","affiliation":[{"name":"Institute for Sugar Beet Research, Holtenser Landstra\u00dfe 77, 37079 G\u00f6ttingen, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2019,6,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1146\/annurev-phyto-080417-050100","article-title":"Hyperspectral sensors and imaging technologies in phytopathology: State of the art","volume":"56","author":"Mahlein","year":"2018","journal-title":"Annu. 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