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Use of convolutional neural network (CNN) combined with FT-NIR spectroscopy to predict food adulteration: A case study on coffee

Swathi Sirisha Nallan ChakravartulaDepartment for Innovation in Biological, Agro-food and Forest systems, University of Tuscia, Via S. Camillo de Lellis snc, 01100, Viterbo, ItalyRoberto MoscettiDepartment for Innovation in Biological, Agro-food and Forest systems, University of Tuscia, Via S. Camillo de Lellis snc, 01100, Viterbo, ItalyGiacomo BediniDepartment for Innovation in Biological, Agro-food and Forest systems, University of Tuscia, Via S. Camillo de Lellis snc, 01100, Viterbo, ItalyMarco NardellaDepartment for Innovation in Biological, Agro-food and Forest systems, University of Tuscia, Via S. Camillo de Lellis snc, 01100, Viterbo, ItalyRiccardo MassantiniDepartment for Innovation in Biological, Agro-food and Forest systems, University of Tuscia, Via S. Camillo de Lellis snc, 01100, Viterbo, Italy

2022en

ABI

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Annotatsiya mavjud emas.

Identifikatorlar

DOI: 10.1016/j.foodcont.2022.108816

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