Terahertz spectra reconstructed using convolutional denoising autoencoder for identification of rice grains infested with Sitophilus oryzae at different growth stages

[Display omitted] •THz-TDS technology was used to identify rice grains infested with Sitophilus oryzae at different growth stages.•CDAE was developed to reconstruct preprocessed THz spectra for eliminating noise.•RFC model was constructed to analysis original and reconstructed THz spectra. Rice grai...

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Bibliographic Details
Published in:	Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Vol. 311; p. 124015
Main Authors:	Pu, Hongbin, Yu, Jingxiao, Luo, Jie, Paliwal, Jitendra, Sun, Da-Wen
Format:	Journal Article
Language:	English
Published:	England Elsevier B.V 15.04.2024
Subjects:	Convolutional denoising autoencoder Data reconstruction Infested rice grains Sitophilus oryzae Terahertz time-domain spectroscopy SVC CNN PS THz S-G HLS RFC LLS Convolutional denoising autoencoder MC SNR CDAE SNV 2-nd der MSC EC MSE AE Terahertz time-domain spectroscopy HCA FAC THz-TDS Data reconstruction 1-st der ES PCA CS AS NIR Infested rice grains KNNC Sitophilus oryzae
ISSN:	1386-1425, 1873-3557, 1873-3557
Online Access:	Get full text
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