CNN–LSTM Neural Network for Identification of Pre-Cooked Pasta Products in Different Physical States Using Infrared Spectroscopy

CNN–LSTM Neural Network for Identification of Pre-Cooked Pasta Products in Different Physical States Using Infrared Spectroscopy

Infrared (IR) spectroscopy is nondestructive, fast, and straightforward. Recently, a growing number of pasta companies have been using IR spectroscopy combined with chemometrics to quickly determine sample parameters. However, fewer models have used deep learning models to classify cooked wheat food...

Full description

Bibliographic Details
Main Authors: Penghui Sun, Jiajia Wang, Zhilin Dong
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
infrared spectroscopy
pre-cooked pasta
deep learning
convolutional neural networks
LSTM
Online Access:https://www.mdpi.com/1424-8220/23/10/4815

Internet

https://www.mdpi.com/1424-8220/23/10/4815

Similar Items