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...

Celý popis

Podrobná bibliografia

Vydané v:	Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Ročník 281; s. 121641
Hlavní autori:	Fu, Lvhui, Sun, Jun, Wang, Simin, Xu, Min, Yao, Kunshan, Zhou, Xin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 15.11.2022
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!