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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8271752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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