Krause, JuliusJuliusKrauseGrüger, HeinrichHeinrichGrügerGebauer, LucieLucieGebauerZheng, XiaorongXiaorongZhengKnobbe, JensJensKnobbePügner, TinoTinoPügnerKicherer, AnnaAnnaKichererGruna, RobinRobinGrunaLängle, ThomasThomasLängleBeyerer, JürgenJürgenBeyerer2022-03-062022-03-062021https://publica.fraunhofer.de/handle/publica/26784610.3390/s21134476The 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.enIndustrial Internet of Thingsnear-infrared spectroscopyminiaturized optical spectrometermachine learningsmart viticulture621004547670journal article