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Smartspectrometer—embedded optical spectroscopy for applications in agriculture and industry

Krause, J.; Grüger, H.; Gebauer, L.; Zheng, X.; Knobbe, J.; Pügner, T.; Kicherer, A.; Gruna, R.; Längle, T.; Beyerer, J. 1
1 Karlsruher Institut für Technologie (KIT)


The ongoing digitization of industry and agriculture can benefit significantly from optical spectroscopy. In many cases, optical spectroscopy enables the estimation of properties such as substance concentrations and compositions. Spectral data can be acquired and evaluated in real time, and the results can be integrated directly into process and automation units, saving resources and costs. Multivariate data analysis is needed to integrate optical spectrometers as sensors. Therefore, a spectrometer with integrated artificial intelligence (AI) called SmartSpectrometer and its interface is presented. The advantages of the SmartSpectrometer are exemplified by its integration into a harvesting vehicle, where quality is determined by predicting sugar and acid in grapes in the field.

Verlagsausgabe §
DOI: 10.5445/IR/1000135682
Veröffentlicht am 23.07.2021
DOI: 10.3390/s21134476
Zitationen: 3
Web of Science
Zitationen: 3
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Fakultät für Informatik (INFORMATIK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1424-8220
KITopen-ID: 1000135682
Erschienen in Sensors
Verlag MDPI
Band 21
Heft 13
Seiten 4476
Vorab online veröffentlicht am 30.06.2021
Nachgewiesen in Dimensions
Web of Science
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