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  4. SmartSpectrometer - Embedded Optical Spectroscopy for Applications in Agriculture and Industry
 
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2021
Zeitschriftenaufsatz
Titel

SmartSpectrometer - Embedded Optical Spectroscopy for Applications in Agriculture and Industry

Abstract
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.
Author(s)
Krause, Julius
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Grüger, Heinrich
Gebauer, Lucie
Zheng, Xiaorong
Knobbe, Jens
Pügner, Tino
Kicherer, Anna
Gruna, Robin
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Längle, Thomas
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Beyerer, Jürgen
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Zeitschrift
Sensors. Online journal
Thumbnail Image
DOI
10.3390/s21134476
Externer Link
Externer Link
Language
Englisch
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IOSB
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Tags
  • Industrial Internet o...

  • near-infrared spectro...

  • miniaturized optical ...

  • machine learning

  • smart viticulture

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