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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Cited by 20 references