Hyperspectral technique combined with deep learning algorithm for detection of compound heavy metals in lettuce

•Vis-NIR HSI was used to detect compound heavy metals content in lettuce leaves.•WT-SCAE is proposed to obtain the deep spectral features.•Deep learning has a great potential for the identification of compound heavy metals content. The aim of this research was to develop a deep learning method which...

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Vydáno v:	Food chemistry Ročník 321; s. 126503
Hlavní autoři:	Zhou, Xin, Sun, Jun, Tian, Yan, Lu, Bing, Hang, Yingying, Chen, Quansheng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Elsevier Ltd 15.08.2020
Témata:	cadmium Cadmium - analysis Compound heavy metals Deep learning heavy metals hyperspectral imagery Lactuca - chemistry Lactuca sativa lead Lead - analysis Least-Squares Analysis leaves Lettuce Nondestructive testing Plant Leaves - chemistry prediction Stack convolution auto encoder Support Vector Machine support vector machines wavelet Wavelet Analysis Wavelet transform Deep learning Lettuce Wavelet transform Compound heavy metals Nondestructive testing Stack convolution auto encoder
ISSN:	0308-8146, 1873-7072, 1873-7072
On-line přístup:	Získat plný text
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