Detection of Adulteration in Infant Formula Based on Ensemble Convolutional Neural Network and Near-Infrared Spectroscopy

Detection of Adulteration in Infant Formula Based on Ensemble Convolutional Neural Network and Near-Infrared Spectroscopy

Adulteration in dairy products has received world-wide attention, and at the same time, near infrared (NIR) spectroscopy has proven to be a promising tool for adulteration detection given its advantages of real-time response and non-destructive analysis. Regardless, the accurate and robust NIR model...

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Bibliographic Details
Main Authors: Yisen Liu, Songbin Zhou, Wei Han, Chang Li, Weixin Liu, Zefan Qiu, Hong Chen
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Foods
Subjects:
infant formula adulteration
ensemble learning
convolutional neural network
wavelength selection
attention mechanism
Online Access:https://www.mdpi.com/2304-8158/10/4/785

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https://www.mdpi.com/2304-8158/10/4/785

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