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

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Bibliografiska uppgifter
I publikationen:	Foods vol. 14, no. 17 (2025), p. 3084-3099
Huvudupphov:	Nedeljkovic Aleksandar
Övriga upphov:	Maggiolino Aristide, Rocchetti Gabriele, Sun Weizheng, Heinz, Volker, Tomasevic, Ivana D, Djordjevic Vesna, Tomasevic Igor
Utgiven:	MDPI AG
Ämnen:	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
Länkar:	Citation/Abstract Full Text + Graphics Full Text - PDF
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