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

Guardado en:

Bibliografiske detaljer
Udgivet i:	Foods vol. 14, no. 17 (2025), p. 3084-3099
Hovedforfatter:	Nedeljkovic Aleksandar
Andre forfattere:	Maggiolino Aristide, Rocchetti Gabriele, Sun Weizheng, Heinz, Volker, Tomasevic, Ivana D, Djordjevic Vesna, Tomasevic Igor
Udgivet:	MDPI AG
Fag:	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
Online adgang:	Citation/Abstract Full Text + Graphics Full Text - PDF
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Vær først til at give en kommentarø!