Tilapia freshness prediction utilizing gas sensor array system combined with convolutional neural network pattern recognition model-Reference-Cited by-同舟云学术

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Tilapia freshness prediction utilizing gas sensor array system combined with convolutional neural network pattern recognition model

Published:2022-09-12 Issue:1 Volume:25 Page:2066-2072
ISSN:1094-2912
Container-title:International Journal of Food Properties
language:en
Short-container-title:International Journal of Food Properties

Author:

Sun Yiqin¹,Zhang Xianfei¹

Affiliation:

1. Key Laboratory for RF Circuits and Systems, Ministry of Education, and Key Laboratory of Large Scale Integrated Design, HangZhou Dianzi University, Hangzhou, PR China

Publisher

Informa UK Limited

Subject

Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/10942912.2022.2120000

Reference15 articles.

1. Chinese agricultural product export product guide. The Ministry of Commerce of the People’s Republic of China, 2008.

2. Zengqi, P., and Chengchu, L. Deng Shanggui.Aquatic Products Processing; Beijing: China Light Industry Press, 2010; pp 1.

3. Huanlv, S. Food Flavor Chemistry; Beijing: Chemical Industry Press(CIP), 2007; pp 12.

Cited by 3 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. Leafy vegetable freshness identification using hyperspectral imaging with deep learning approaches;Infrared Physics & Technology;2024-05

2. Advances in the Effects of Dietary Macronutrients on the Gut Microbiota of Tilapia (Oreochromis spp.);Microorganisms;2024-03-08

3. Advanced Algorithms for Low Dimensional Metal Oxides-Based Electronic Nose Application: A Review;Crystals;2023-04-03

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