{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T12:22:30Z","timestamp":1774959750061,"version":"3.50.1"},"reference-count":38,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2021,6,30]],"date-time":"2021-06-30T00:00:00Z","timestamp":1625011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005908","name":"Bundesministerium f\u00fcr Ern\u00e4hrung und Landwirtschaft","doi-asserted-by":"publisher","award":["28DE113A18"],"award-info":[{"award-number":["28DE113A18"]}],"id":[{"id":"10.13039\/501100005908","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005908","name":"Bundesministerium f\u00fcr Ern\u00e4hrung und Landwirtschaft","doi-asserted-by":"publisher","award":["28DE113B18"],"award-info":[{"award-number":["28DE113B18"]}],"id":[{"id":"10.13039\/501100005908","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003185","name":"Fraunhofer-Gesellschaft","doi-asserted-by":"publisher","award":["MEF 838780"],"award-info":[{"award-number":["MEF 838780"]}],"id":[{"id":"10.13039\/501100003185","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s21134476","type":"journal-article","created":{"date-parts":[[2021,6,30]],"date-time":"2021-06-30T03:53:15Z","timestamp":1625025195000},"page":"4476","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["SmartSpectrometer\u2014Embedded Optical Spectroscopy for Applications in Agriculture and Industry"],"prefix":"10.3390","volume":"21","author":[{"given":"Julius","family":"Krause","sequence":"first","affiliation":[{"name":"Fraunhofer IOSB, Karlsruhe, Institute of Optronics, System Technologies and Image Exploitation, 76131 Karlsruhe, Germany"}]},{"given":"Heinrich","family":"Gr\u00fcger","sequence":"additional","affiliation":[{"name":"Fraunhofer IPMS, Institute for Photonic Microsystems, 01109 Dresden, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8219-2100","authenticated-orcid":false,"given":"Lucie","family":"Gebauer","sequence":"additional","affiliation":[{"name":"Julius K\u00fchn-Institut, Institute for Grapevine Breeding Geilweilerhof, 76833 Siebeldingen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1369-8669","authenticated-orcid":false,"given":"Xiaorong","family":"Zheng","sequence":"additional","affiliation":[{"name":"Julius K\u00fchn-Institut, Institute for Grapevine Breeding Geilweilerhof, 76833 Siebeldingen, Germany"}]},{"given":"Jens","family":"Knobbe","sequence":"additional","affiliation":[{"name":"Fraunhofer IPMS, Institute for Photonic Microsystems, 01109 Dresden, Germany"}]},{"given":"Tino","family":"P\u00fcgner","sequence":"additional","affiliation":[{"name":"Fraunhofer IPMS, Institute for Photonic Microsystems, 01109 Dresden, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6442-3219","authenticated-orcid":false,"given":"Anna","family":"Kicherer","sequence":"additional","affiliation":[{"name":"Julius K\u00fchn-Institut, Institute for Grapevine Breeding Geilweilerhof, 76833 Siebeldingen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1041-6750","authenticated-orcid":false,"given":"Robin","family":"Gruna","sequence":"additional","affiliation":[{"name":"Fraunhofer IOSB, Karlsruhe, Institute of Optronics, System Technologies and Image Exploitation, 76131 Karlsruhe, Germany"}]},{"given":"Thomas","family":"L\u00e4ngle","sequence":"additional","affiliation":[{"name":"Fraunhofer IOSB, Karlsruhe, Institute of Optronics, System Technologies and Image Exploitation, 76131 Karlsruhe, Germany"}]},{"given":"J\u00fcrgen","family":"Beyerer","sequence":"additional","affiliation":[{"name":"Fraunhofer IOSB, Karlsruhe, Institute of Optronics, System Technologies and Image Exploitation, 76131 Karlsruhe, Germany"},{"name":"Vision and Fusion Laboratory (IES), Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2021,6,30]]},"reference":[{"key":"ref_1","unstructured":"Siesler, H.W., Ozaki, Y., Kawata, S., and Heise, H.M. 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