An AI-powered e-nose system using a density-based clustering method for identifying adulteration in specialty coffees
Author:
Publisher
Elsevier BV
Subject
Spectroscopy,Analytical Chemistry
Reference38 articles.
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3. Principles and recent advances in electronic nose for quality inspection of agricultural and food product;Ali;Trends Food Sci. Technol.,2020
4. Classification and prediction of bee honey indirect adulteration using physiochemical properties coupled with k-means clustering and simulated annealing-artificial neural networks (SA-ANNs);Al-Mahasneh;J. Food Qual.,2021
5. E-nose application to food industry production;Chilo;IEEE Instrum. Meas. Mag.,2016
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