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SmartSpectrometer—Embedded Optical Spectroscopy for Applications in Agriculture and Industry

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 resu...

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Autores principales: Krause, Julius, Grüger, Heinrich, Gebauer, Lucie, Zheng, Xiaorong, Knobbe, Jens, Pügner, Tino, Kicherer, Anna, Gruna, Robin, Längle, Thomas, Beyerer, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271752/
https://www.ncbi.nlm.nih.gov/pubmed/34208883
http://dx.doi.org/10.3390/s21134476
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author Krause, Julius
Grüger, Heinrich
Gebauer, Lucie
Zheng, Xiaorong
Knobbe, Jens
Pügner, Tino
Kicherer, Anna
Gruna, Robin
Längle, Thomas
Beyerer, Jürgen
author_facet Krause, Julius
Grüger, Heinrich
Gebauer, Lucie
Zheng, Xiaorong
Knobbe, Jens
Pügner, Tino
Kicherer, Anna
Gruna, Robin
Längle, Thomas
Beyerer, Jürgen
author_sort Krause, Julius
collection PubMed
description 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.
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spelling pubmed-82717522021-07-11 SmartSpectrometer—Embedded Optical Spectroscopy for Applications in Agriculture and Industry Krause, Julius Grüger, Heinrich Gebauer, Lucie Zheng, Xiaorong Knobbe, Jens Pügner, Tino Kicherer, Anna Gruna, Robin Längle, Thomas Beyerer, Jürgen Sensors (Basel) Article 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. MDPI 2021-06-30 /pmc/articles/PMC8271752/ /pubmed/34208883 http://dx.doi.org/10.3390/s21134476 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Krause, Julius
Grüger, Heinrich
Gebauer, Lucie
Zheng, Xiaorong
Knobbe, Jens
Pügner, Tino
Kicherer, Anna
Gruna, Robin
Längle, Thomas
Beyerer, Jürgen
SmartSpectrometer—Embedded Optical Spectroscopy for Applications in Agriculture and Industry
title SmartSpectrometer—Embedded Optical Spectroscopy for Applications in Agriculture and Industry
title_full SmartSpectrometer—Embedded Optical Spectroscopy for Applications in Agriculture and Industry
title_fullStr SmartSpectrometer—Embedded Optical Spectroscopy for Applications in Agriculture and Industry
title_full_unstemmed SmartSpectrometer—Embedded Optical Spectroscopy for Applications in Agriculture and Industry
title_short SmartSpectrometer—Embedded Optical Spectroscopy for Applications in Agriculture and Industry
title_sort smartspectrometer—embedded optical spectroscopy for applications in agriculture and industry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271752/
https://www.ncbi.nlm.nih.gov/pubmed/34208883
http://dx.doi.org/10.3390/s21134476
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