Nondestructive evaluation of Zn content in rape leaves using MSSAE and hyperspectral imaging

[Display omitted] •Hyperspectral image applied for non-destructive detection of Zn content in plants.•An MSSAE was proposed for extracting deep features from hyperspectral data.•The model based on the deep features extracted by MSSAE had the best prediction. Zinc (Zn) content plays a decisive role i...

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Bibliographic Details

Published in:	Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Vol. 281; p. 121641
Main Authors:	Fu, Lvhui, Sun, Jun, Wang, Simin, Xu, Min, Yao, Kunshan, Zhou, Xin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15.11.2022
Subjects:	Dropout Hyperspectral imaging Modified stacked sparse autoencoder Oilseed rape Zinc content Oilseed rape Modified stacked sparse autoencoder Zinc content Dropout Hyperspectral imaging
ISSN:	1386-1425, 1873-3557, 1873-3557
Online Access:	Get full text
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