Geographical origin discrimination of black beans using near-infrared (NIR) spectroscopy combined with fuzzy regularized complete linear discriminant analysis (FRCLDA)-Reference-Cited by-同舟云学术

Geographical origin discrimination of black beans using near-infrared (NIR) spectroscopy combined with fuzzy regularized complete linear discriminant analysis (FRCLDA)

Published:2024-03-20 Issue: Volume: Page:1-22
ISSN:0003-2719
Container-title:Analytical Letters
language:en
Short-container-title:Analytical Letters

Author:

Xie Chenao¹²,Wu Xiaohong¹²,Wu Bin³,Dai Chunxia¹

Affiliation:

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

2. High-Tech Key Laboratory of Agricultural Equipment and Intelligence of Jiangsu Province, Jiangsu University, Zhenjiang, China

3. Department of Information Engineering, Chuzhou Polytechnic, Chuzhou, China

Funder

the Major Natural Science Research Projects of Colleges and Universities in Anhui Province

Youth and Middle-aged Teachers Cultivation Action Project in Anhui Province

the Undergraduate Scientific Research Project of Jiangsu University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00032719.2024.2329702

Reference64 articles.

1. Near-infrared spectroscopy used to predict soybean seed germination and vigour

2. Nondestructive authentication of the regional and geographical origin of cocoa beans by using a handheld NIR spectrometer and multivariate algorithm

3. Miniaturized NIR Spectroscopy in Food Analysis and Quality Control: Promises, Challenges, and Perspectives

4. The composition differences between small black beans and big black beans from different habitats and its effects on the processing of Polygonum multiflorum

5. Feasibility study on prediction of the grain mixtures for black sesame paste recipe with different chemometric methods