Detection of the origin of wolfberry based on electronic nose and electronic tongue combined with LSTM-AM-M1DCNN

Detection of the origin of wolfberry based on electronic nose and electronic tongue combined with LSTM-AM-M1DCNN

ObjectiveTo achieve rapid detection of the origin of wolfberry.MethodsA rapid discrimination method for the origin of wolfberry was proposed based on an electronic nose and tongue system using a Long Short-Term Memory network-Attention Mechanism-Multi-scale one-Dimensional Convolutional Neural Netwo...

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Bibliographic Details
Main Authors: MA Zeliang, LIU Yaqian, CHENG Qifeng, WANG Pingping, YANG Tianxing, DU Gang
Format: Article
Language:English
Published: The Editorial Office of Food and Machinery 2024-12-01
Series:Shipin yu jixie
Subjects:
wolfberry
origin
electronic nose
electronic tongue
long short-term memory network
multi-scale one-dimensional convolutional neural network
Online Access:http://www.ifoodmm.com/spyjx/article/abstract/20241207?st=article_issue
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