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
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Multi-Channel Spectral Sensors as Plant Reflectance Measuring Devices - Toward the Usability of Spectral Sensors for Phenotyping of Sweet Basil (Ocimum basilicum) |
Language: | English |
Date: | 25 May 2022 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2022 |
Publisher: | MDPI |
Journal or Publication Title: | Agronomy |
Volume of the journal: | 12 |
Issue Number: | 5 |
Collation: | 15 Seiten |
DOI: | 10.26083/tuprints-00021428 |
Corresponding Links: | |
Origin: | Secondary publication via sponsored Golden Open Access |
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: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-214282 |
Additional Information: | Keywords: reflectance; Ocimum basilicum; colour sensor; phenotyping |
Classification DDC: | 500 Science and mathematics > 570 Life sciences, biology 600 Technology, medicine, applied sciences > 630 Agriculture, veterinary medicine |
Divisions: | 10 Department of Biology > Applied Plant Sciences |
Date Deposited: | 25 May 2022 12:29 |
Last Modified: | 10 Jul 2024 08:45 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/21428 |
PPN: | 495025992 |
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