Visualization of heavy metal cadmium in lettuce leaves based on wavelet support vector machine regression model and visible‐near infrared hyperspectral imaging-Reference-Cited by-同舟云学术

Visualization of heavy metal cadmium in lettuce leaves based on wavelet support vector machine regression model and visible‐near infrared hyperspectral imaging

Published:2021-10-06 Issue:12 Volume:44 Page:
ISSN:0145-8876
Container-title:Journal of Food Process Engineering
language:en
Short-container-title:J Food Process Eng

Author:

Zhou Xin¹^ORCID,Sun Jun¹^ORCID,Zhang Yuechun¹^ORCID,Tian Yan¹^ORCID,Yao Kunshan¹^ORCID,Xu Min¹

Affiliation:

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

Publisher

Wiley

Subject

General Chemical Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.13897

Reference33 articles.

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2. Chemical spoilage extent traceability of two kinds of processed pork meats using one multispectral system developed by hyperspectral imaging combined with effective variable selection methods

3. Qualitative properties of roasting defect beans and development of its classification methods by hyperspectral imaging technology

4. Determination of micro-amounts of zirconium in mixed aqueous organic medium by normal and first-derivative spectrophotometry

5. Rapid detection of cadmium and its distribution in Miscanthus sacchariflorus based on visible and near-infrared hyperspectral imaging

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