Determination of starch content in single kernel using near-infrared hyperspectral images from two sides of corn seeds-Reference-Cited by-同舟云学术

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Determination of starch content in single kernel using near-infrared hyperspectral images from two sides of corn seeds

Published:2020-11 Issue: Volume:110 Page:103462
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Liu Chen,Huang Wenqian,Yang Guiyan,Wang Qingyan,Li Jiangbo,Chen Liping

Funder

National Key R&D Program of China

Beijing Postdoctoral Research Foundation

Beijing Academy of Agricultural and Forestry Sciences

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference40 articles.

1. Hyperspectral imaging applications in agriculture and agro-food product quality and safety control: a review;Dale;Appl. Spectrosc. Rev.,2013

2. Application of SWIR hyperspectral imaging and chemometrics for identification of aflatoxin B-1 contaminated maize kernels;Kimuli;Infrared Phys. Technol.,2018

3. Rapid authentication of starch adulterations in ultrafine granular powder of Shanyao by near-infrared spectroscopy coupled with chemometric methods;Ma;Food Chem.,2017

4. Individual wheat kernels vigor assessment based on NIR spectroscopy coupled with machine learning methodologies;Fan;Infrared Phys. Technol.,2020

5. Characterization of microstructure, physicochemical and functional properties of corn varieties using different analytical techniques;Yaqoob;Int. J. Food Prop.,2019

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