Artificial intelligence-based identification of butter variations as a model study for detecting food adulteration

Published 2020 View Full Article

Authors

Keywords

Artificial intelligence, Machine learning, Food fraud, Adulteration, Mobile application, Organic food products, Frequency response, MFCCs, Parallel CNN-RNN, CRNN

Journal

Innovative Food Science & Emerging Technologies

Volume -, Issue -, Pages 102527

Publisher

Elsevier BV

Online

2020-10-17

DOI

10.1016/j.ifset.2020.102527

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