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Article

SmartSpectrometer—Embedded Optical Spectroscopy for Applications in Agriculture and Industry

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Fraunhofer IOSB, Karlsruhe, Institute of Optronics, System Technologies and Image Exploitation, 76131 Karlsruhe, Germany
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Fraunhofer IPMS, Institute for Photonic Microsystems, 01109 Dresden, Germany
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Julius Kühn-Institut, Institute for Grapevine Breeding Geilweilerhof, 76833 Siebeldingen, Germany
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Vision and Fusion Laboratory (IES), Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Oliver Niggemann and Michael Heizmann
Sensors 2021, 21(13), 4476; https://doi.org/10.3390/s21134476
Received: 14 May 2021 / Revised: 17 June 2021 / Accepted: 23 June 2021 / Published: 30 June 2021
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. View Full-Text
Keywords: industrial internet of things; near-infrared spectroscopy; miniaturized optical spectrometer; machine learning; smart viticulture industrial internet of things; near-infrared spectroscopy; miniaturized optical spectrometer; machine learning; smart viticulture
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MDPI and ACS Style

Krause, J.; Grüger, H.; Gebauer, L.; Zheng, X.; Knobbe, J.; Pügner, T.; Kicherer, A.; Gruna, R.; Längle, T.; Beyerer, J. SmartSpectrometer—Embedded Optical Spectroscopy for Applications in Agriculture and Industry. Sensors 2021, 21, 4476. https://doi.org/10.3390/s21134476

AMA Style

Krause J, Grüger H, Gebauer L, Zheng X, Knobbe J, Pügner T, Kicherer A, Gruna R, Längle T, Beyerer J. SmartSpectrometer—Embedded Optical Spectroscopy for Applications in Agriculture and Industry. Sensors. 2021; 21(13):4476. https://doi.org/10.3390/s21134476

Chicago/Turabian Style

Krause, Julius, Heinrich Grüger, Lucie Gebauer, Xiaorong Zheng, Jens Knobbe, Tino Pügner, Anna Kicherer, Robin Gruna, Thomas Längle, and Jürgen Beyerer. 2021. "SmartSpectrometer—Embedded Optical Spectroscopy for Applications in Agriculture and Industry" Sensors 21, no. 13: 4476. https://doi.org/10.3390/s21134476

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