Pork primal cuts recognition method via computer vision-Reference-Cited by-同舟云学术

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Pork primal cuts recognition method via computer vision

Published:2022-10 Issue: Volume:192 Page:108898
ISSN:0309-1740
Container-title:Meat Science
language:en
Short-container-title:Meat Science

Author:

Huang Huazi,Zhan Wei,Du Zhiqiang,Hong Shengbing,Dong Tianyu,She Jinhui,Min Chao

Funder

Ministry of Education of the People's Republic of China

China University of Geosciences

Publisher

Elsevier BV

Subject

Food Science

Reference26 articles.

1. Dedicated non-destructive devices for food quality measurement: A review;Abasi;Trends in Food Science & Technology,2018

2. Identification and quantification of Turkey meat adulteration in fresh, frozen-thawed and cooked minced beef by FT-NIR spectroscopy and chemometrics;Alamprese;Meat Science,2016

3. An embedded system based on DSP platform and PCA-SVM algorithms for rapid beef meat freshness prediction and identification;Arsalane;Computers and Electronics in Agriculture,2018

4. Study of meat quality and flavour in different cuts of Duroc-Bamei binary hybrid pigs;Chen;Veterinary Medicine and Science,2021

5. Deep residual learning for image recognition;He,2016

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