Detection of adulteration in mutton using digital images in time domain combined with deep learning algorithm

A novel method based on digital images in time domain combined with convolutional neural network (CNN) is proposed for discrimination and analysis of the adulterated mutton. For this, 195 sample images during the constant temperature heating process (about 10 min) were combined with CNN for qualitat...

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Veröffentlicht in:	Meat science 2022-10, Vol.192, p.108850-108850, Article 108850
Hauptverfasser:	Zhang, Yaoxin, Zheng, Minchong, Zhu, Rongguang, Ma, Rong
Format:	Artikel
Sprache:	eng
Schlagworte:	Adulterated mutton Convolutional neural network Digital images Qualitative discrimination Quantitative prediction Temperature disturbance
Online-Zugang:	Volltext
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