Real-time monitoring the color changes of large yellow croaker (Larimichthys crocea) fillets based on hyperspectral imaging empowered with artificial intelligence-Reference-Cited by-同舟云学术

Real-time monitoring the color changes of large yellow croaker (Larimichthys crocea) fillets based on hyperspectral imaging empowered with artificial intelligence

Published:2022-07 Issue: Volume:382 Page:132343
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Wang Shengnan,Das Avik Kumar,Pang Jie,Liang Peng

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference40 articles.

1. Predicting quality and sensory attributes of pork using near-infrared hyperspectral imaging;Barbin;Analytica Chimica Acta,2012

2. Visible/near-infrared hyperspectral imaging prediction of textural firmness of grass carp (Ctenopharyngodon idella) as affected by frozen storage;Cheng;Food Research International,2014

3. Rapid quantification analysis and visualization of escherichia coli loads in grass carp fish flesh by hyperspectral imaging method;Cheng;Food and Bioprocess Technology,2015

4. Suitability of hyperspectral imaging for rapid evaluation of thiobarbituric acid (TBA) value in grass carp (Ctenopharyngodon idella) fillet;Cheng;Food Chemistry,2015

5. Heterospectral two-dimensional correlation analysis with near-infrared hyperspectral imaging for monitoring oxidative damage of pork myofibrils during frozen storage;Cheng;Food Chemistry,2018

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Study on color and flavor changes of 4D printed white mushroom gel with microcapsules containing gelatin / β-cyclodextrin induced by microwave heating;International Journal of Biological Macromolecules;2024-11

2. Rapid and non-destructive microbial quality prediction of fresh pork stored under modified atmospheres by using selected-ion flow-tube mass spectrometry and machine learning;Meat Science;2024-07

3. A multispectral imaging system developed based on the spectral feature selection method for identification of housefly pupae;Microchemical Journal;2024-05

4. Applications of hyperspectral imaging technology in the food industry;Nature Reviews Electrical Engineering;2024-03-26

5. A step forward in food science, technology and industry using artificial intelligence;Trends in Food Science & Technology;2024-01