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

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 be...

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Published inAgronomy (Basel) Vol. 12; no. 5; p. 1174
Main Authors Tran, Trung, Keller, Rieke, Trinh, Vinh, Tran, Khanh, Kaldenhoff, Ralf
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.05.2022
Subjects
Agriculture
Algorithms
Artificial intelligence
Assessments
Automation
Carotenoids
Color
colour sensor
Cost analysis
Flavonoids
Horticulture
Light
Measuring instruments
Metabolism
Metabolites
Ocimum basilicum
Phenolic compounds
Phenols
Phenotyping
Reflectance
Sensors
Unmanned aerial vehicles
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Summary: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.
ISSN:2073-4395
2073-4395
DOI:10.3390/agronomy12051174