The Feasibility of Artificial Intelligence and Raman Spectroscopy for Determining the Authenticity of Minced Meat

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Detalles Bibliográficos
Publicado en:	Foods vol. 14, no. 17 (2025), p. 3084-3099
Autor principal:	Nedeljkovic Aleksandar
Otros Autores:	Maggiolino Aristide, Rocchetti Gabriele, Sun Weizheng, Heinz, Volker, Tomasevic, Ivana D, Djordjevic Vesna, Tomasevic Igor
Publicado:	MDPI AG
Materias:	HORIBA Ltd France Raman spectra Beef Public health Artificial intelligence Datasets Classification Food Meat products Homogenization Artificial neural networks Signal processing Pork Data processing Minced meat Machine learning Raman spectroscopy Meat Spectroscopy Learning algorithms Accuracy Spectrum analysis Support vector machines Lasers Fraud Meat industry Mixtures Meat quality Neural networks
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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