Identification of monofloral honey using voltammetric electronic tongue

By K. Tiwari, B. Tudu, R. Bandyopadhyay, A. Chatterjee. 2013

54 citations recorded by the source corpus.

Subfields: Animal Science and Zoology, Biomedical Engineering, Food Science

View Paper: https://www.semanticscholar.org/paper/c4fd0927154dd97bca645cded7baddda4763edcb

How researchers see this paper

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1. Zhilin Gan
2. Yuanying Ni
3. X. Wen
4. Yundong Jiang
5. Minghui Zhu
6. Jing Li
7. Yang Yang

Citations in the corpus

• Using sensor and spectral analysis to classify botanical origin and determine adulteration of raw honey (2016, methodology): “Traditionally, PCA, artificial neural network (ANN), linear discriminant analysis (LDA), discriminating factor analysis (DFA) were the best common models applied to EN and ET data for identification of honey botanical origin (Huang et al., 2014; Ampuero et al., 2004; Tiwari et al., 2013;”