Tran, Nam Trung ; Keller, Rieke ; Trinh, Vinh Quang ; Tran, Khanh Quoc ; Kaldenhoff, Ralf (2022)
Multi-Channel Spectral Sensors as Plant Reflectance Measuring Devices - Toward the Usability of Spectral Sensors for Phenotyping of Sweet Basil (Ocimum basilicum).
In: Agronomy, 2022, 12 (5)
doi: 10.26083/tuprints-00021428
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
Modern agriculture demands for comprehensive information about the plants themselves. Conventional chemistry-based analytical methods—due to their low throughput and high associated costs—are no longer capable of providing these data. In recent years, remote reflectance-based characterisation has become one of the most promising solutions for rapid assessments of plant attributes. However, in many cases, expensive equipment is required because accurate quantifications need assessments of the full reflectance spectrum. In this experimental study, we examined the versatility of visible spectral sensors as alternative reflectance measuring devices for biological/biochemical quantifications of sweet basil (Ocimum basilicum). Our results confirm the applicability and scope of visible spectral sensors for analysis and quantification of important plant properties, in particular the contents of valuable substances, such as phenolic compounds and flavonoids.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2022 |
Autor(en): | Tran, Nam Trung ; Keller, Rieke ; Trinh, Vinh Quang ; Tran, Khanh Quoc ; Kaldenhoff, Ralf |
Art des Eintrags: | Zweitveröffentlichung |
Titel: | Multi-Channel Spectral Sensors as Plant Reflectance Measuring Devices - Toward the Usability of Spectral Sensors for Phenotyping of Sweet Basil (Ocimum basilicum) |
Sprache: | Englisch |
Publikationsjahr: | 2022 |
Publikationsdatum der Erstveröffentlichung: | 2022 |
Verlag: | MDPI |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Agronomy |
Jahrgang/Volume einer Zeitschrift: | 12 |
(Heft-)Nummer: | 5 |
Kollation: | 15 Seiten |
DOI: | 10.26083/tuprints-00021428 |
URL / URN: | https://tuprints.ulb.tu-darmstadt.de/21428 |
Zugehörige Links: | |
Herkunft: | Zweitveröffentlichung aus gefördertem Golden Open Access |
Kurzbeschreibung (Abstract): | Modern agriculture demands for comprehensive information about the plants themselves. Conventional chemistry-based analytical methods—due to their low throughput and high associated costs—are no longer capable of providing these data. In recent years, remote reflectance-based characterisation has become one of the most promising solutions for rapid assessments of plant attributes. However, in many cases, expensive equipment is required because accurate quantifications need assessments of the full reflectance spectrum. In this experimental study, we examined the versatility of visible spectral sensors as alternative reflectance measuring devices for biological/biochemical quantifications of sweet basil (Ocimum basilicum). Our results confirm the applicability and scope of visible spectral sensors for analysis and quantification of important plant properties, in particular the contents of valuable substances, such as phenolic compounds and flavonoids. |
Status: | Verlagsversion |
URN: | urn:nbn:de:tuda-tuprints-214282 |
Zusätzliche Informationen: | Keywords: reflectance; Ocimum basilicum; colour sensor; phenotyping |
Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie 600 Technik, Medizin, angewandte Wissenschaften > 630 Landwirtschaft, Veterinärmedizin |
Fachbereich(e)/-gebiet(e): | 10 Fachbereich Biologie 10 Fachbereich Biologie > Applied Plant Sciences |
Hinterlegungsdatum: | 25 Mai 2022 12:29 |
Letzte Änderung: | 10 Jul 2024 08:45 |
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