Electronic nose and neural network use for the classification of honey

By S. Benedetti, S. Mannino, A. Sabatini, G. Marcazzan. 2004

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Application of Electronic Nose with Multivariate Analysis and Sensor Selection for Botanical Origin Identification and Quality Determination of Honey (2015, methodology): “Much previous research established only qualitative discrimination models for honey classification using an e-nose (Ampuero et al. 2004; Benedetti et al. 2004; Kenjerić et al. 2009; Hong et al. 2011).”
Physico-chemical methods for the characterisation of unifloral honeys: a review (2004, methodology): “The electronic nose has been successfully used for the classification of Swiss unifloral honeys (Ampuero et al., 2004; Benedetti et al., 2004).”
Using sensor and spectral analysis to classify botanical origin and determine adulteration of raw honey (2016, methodology): “The bp-ANN model founded by EN consisting of ten MOSFET and twelve MOS sensors could discriminate the botanical origin and geographical honey production area (Benedetti et al., 2004).”
Data analysis for electronic nose systems (2006, methodology): “[154] analysed the data from 70 honey samples from a 12”