Rapid discrimination of Brassica napus varieties using visible and Near-infrared (Vis-NIR) spectroscopy-Reference-Cited by-同舟云学术

Rapid discrimination of Brassica napus varieties using visible and Near-infrared (Vis-NIR) spectroscopy

Published:2023-02 Issue:2 Volume:35 Page:102495
ISSN:1018-3647
Container-title:Journal of King Saud University - Science
language:en
Short-container-title:Journal of King Saud University - Science

Author:

Sohn Soo-In,Pandian Subramani,Zaukuu John-Lewis Zinia,Oh Young-Ju,Lee Yong-Ho,Shin Eun-Kyoung,Thamilarasan Senthil Kumar,Kang Hyeon-Jung,Ryu Tae-Hun,Cho Woo-Suk

Funder

Rural Development Administration

National Academy of Agricultural Sciences

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference20 articles.

1. Feasibility study on identification of green, black and oolong teas using near infrared reflectance spectroscopy based on support vector machine;Chen;Spectrochim. Acta A,2007

2. An overview of the use of infrared spectroscopy and chemometrics in authenticity and traceability of cereals;Cozzolino;Food Res. Int.,2014

3. Feasibility study on the use of visible and near-infrared spectroscopy together with chemometrics to discriminate between commercial white wines of different varietal origins;Cozzolino;J. Agric. Food Chem.,2003

4. Discrimination of CRISPR/Cas9-induced mutants of rice seeds using near-infrared hyperspectral imaging;Feng;Sci. Rep.,2017

5. Improvement of support vector machine algorithm in big data background;Gaye;Mat. Prob. Eng.,2021

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of Multiple NIR Spectrometers for Detecting Low-Concentration Nitrogen-Based Adulteration in Protein Powders;Molecules;2024-02-08

2. Non-Destructive Characterization of Italian Local Brassicaceae Cultivars Using ATR-FT-IR and Chemometrics;Applied Sciences;2024-02-03

3. Rapid Discrimination of Organic and Non-Organic Leafy Vegetables (Water Spinach, Amaranth, Lettuce, and Pakchoi) Using VIS-NIR Spectroscopy, Selective Wavelengths, and Linear Discriminant Analysis;Applied Sciences;2023-10-29

4. Development of a Non-Destructive Tool Based on E-Eye and Agro-Morphological Descriptors for the Characterization and Classification of Different Brassicaceae Landraces;Applied Sciences;2023-05-29

5. Novel Detection Techniques for Shrimp Powder Adulteration Using Near Infrared Spectroscopy in Tandem Chemometric Tools and Multiple Spectral Preprocessing;Food Analytical Methods;2023-03-14