Chung-Hong LeeNew ‘E-Nose’ Identifies Coffee with Up to 98% Accuracy Researchers in Taiwan have developed an electronic nose (e-nose) that they say can correctly identify a coffee based on its aroma with up to 98% accuracy. A team led by... 2024.01.18Chung-Hong LeeCraft/Operationse-noseelectronic tonguesIEEEIEEE SpectrumIndustryInternationalNational Kaohsiung University of Science and TechnologyOriginProductsquality controlresearchRoastingsciencesensory analysisSustainabilityTaiwanコーヒーChung-Hong LeeCraft/Operationse-noseelectronic tonguesIEEEIEEE SpectrumIndustryInternationalNational Kaohsiung University of Science and TechnologyOriginProductsquality controlresearchRoastingsciencesensory analysisSustainabilityTaiwanコーヒーAI
Chung-Hong Lee