Sipos, L.;                     Végh, R.;                     Bodor, Z.;                     Zaukuu, J.-L.Z.;                     Hitka, G.;                     Bázár, G.;                     Kovacs, Z.    
        Classification of Bee Pollen and Prediction of Sensory and Colorimetric Attributes—A Sensometric Fusion Approach by e-Nose, e-Tongue and NIR. Sensors 2020, 20, 6768.
    https://doi.org/10.3390/s20236768
    AMA Style
    
                                Sipos L,                                 Végh R,                                 Bodor Z,                                 Zaukuu J-LZ,                                 Hitka G,                                 Bázár G,                                 Kovacs Z.        
                Classification of Bee Pollen and Prediction of Sensory and Colorimetric Attributes—A Sensometric Fusion Approach by e-Nose, e-Tongue and NIR. Sensors. 2020; 20(23):6768.
        https://doi.org/10.3390/s20236768
    
    Chicago/Turabian Style
    
                                Sipos, László,                                 Rita Végh,                                 Zsanett Bodor,                                 John-Lewis Zinia Zaukuu,                                 Géza Hitka,                                 György Bázár,                                 and Zoltan Kovacs.        
                2020. "Classification of Bee Pollen and Prediction of Sensory and Colorimetric Attributes—A Sensometric Fusion Approach by e-Nose, e-Tongue and NIR" Sensors 20, no. 23: 6768.
        https://doi.org/10.3390/s20236768
    
    APA Style
    
                                Sipos, L.,                                 Végh, R.,                                 Bodor, Z.,                                 Zaukuu, J.-L. Z.,                                 Hitka, G.,                                 Bázár, G.,                                 & Kovacs, Z.        
        
        (2020). Classification of Bee Pollen and Prediction of Sensory and Colorimetric Attributes—A Sensometric Fusion Approach by e-Nose, e-Tongue and NIR. Sensors, 20(23), 6768.
        https://doi.org/10.3390/s20236768