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Multi-Channel Spectral Sensors as Plant Reflectance Measuring Devices—Toward the Usability of Spectral Sensors for Phenotyping of Sweet Basil (Ocimum basilicum)

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

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
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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
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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: 27 Mai 2022 06:31
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