Detection for lead pollution level of lettuce leaves based on deep belief network combined with hyperspectral image technology-Reference-Cited by-同舟云学术

Detection for lead pollution level of lettuce leaves based on deep belief network combined with hyperspectral image technology

Published:2020-10-16 Issue:1 Volume:41 Page:
ISSN:0149-6085
Container-title:Journal of Food Safety
language:en
Short-container-title:J Food Saf

Author:

Sun Jun¹^ORCID,Cao Yan¹^ORCID,Zhou Xin¹,Wu Minmin¹^ORCID,Sun Yidan¹,Hu Yinghui¹

Affiliation:

1. School of Electrical and Information Engineering Jiangsu University Zhenjiang China

Funder

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Wiley

Subject

Microbiology,Food Science,Parasitology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfs.12866

Reference36 articles.

1. Determination of Mineral Composition and Heavy Metal Content of Some Nutraceutically Valued Plant Products

2. Cadmium, copper and lead levels in different cultivars of lettuce and soil from urban agriculture;Dala‐Paula B. M.;Environment Pollution,2018

3. Real-time hyperspectral fluorescence imaging of pancreatic β-cell dynamics with the image mapping spectrometer (IMS)

4. Evolutionary tuning of multiple SVM parameters

5. Hyperspectral estimation of the cadmium content in leaves of Brassica rapa chinesis based on the spectral parameters;Gu Y.;Acta Ecologica Sinica,2015

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