Nondestructive determination of common indicators of beef for freshness assessment using airflow-three dimensional (3D) machine vision technique and machine learning

Assessment of beef freshness is critical to ensure a safe and sustainable beef supply chain. This work aims to investigate the feasibility of the viscoelasticity of beef to evaluate its freshness using the airflow-3D machine vision technique and machine learning models. The 3D camera was continuousl...

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Vydáno v:	Journal of food engineering Ročník 340; s. 111305
Hlavní autoři:	Luo, Xiuzhi, Sun, Qinming, Yang, Tianxi, He, Ke, Tang, Xiuying
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.03.2023
Témata:	air flow Airflow-3D machine vision algorithms Beef cameras computer vision deformation Four-element viscoelastic models freshness pH value Point cloud image processing algorithm prediction supply chain total volatile basic nitrogen TVB-N content viscoelasticity Airflow-3D machine vision pH value TVB-N content Four-element viscoelastic models Beef Point cloud image processing algorithm
ISSN:	0260-8774, 1873-5770
On-line přístup:	Získat plný text
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