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

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Pubblicato in:	Foods vol. 14, no. 17 (2025), p. 3084-3099
Autore principale:	Nedeljkovic Aleksandar
Altri autori:	Maggiolino Aristide, Rocchetti Gabriele, Sun Weizheng, Heinz, Volker, Tomasevic, Ivana D, Djordjevic Vesna, Tomasevic Igor
Pubblicazione:	MDPI AG
Soggetti:	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
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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