Non-Destructive Detection of Chicken Freshness Based on Electronic Nose Technology and Transfer Learning

As a non-destructive detection method, an electronic nose can be used to assess the freshness of meats by collecting and analyzing their odor information. Deep learning can automatically extract features and uncover potential patterns in data, minimizing the influence of subjective factors such as s...

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書誌詳細

出版年:	Agriculture
主要な著者:	Yunwei Xiong, Yuhua Li, Chenyang Wang, Hanqing Shi, Sunyuan Wang, Cheng Yong, Yan Gong, Wentian Zhang, Xiuguo Zou
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2023-02-01
主題:	chicken freshness detection electronic nose transfer learning convolutional neural network
オンライン･アクセス:	https://www.mdpi.com/2077-0472/13/2/496