Classification of Black Beans Using Visible and Near Infrared Hyperspectral Imaging-Reference-Cited by-同舟云学术

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Classification of Black Beans Using Visible and Near Infrared Hyperspectral Imaging

Published:2016-04-14 Issue:8 Volume:19 Page:1687-1695
ISSN:1094-2912
Container-title:International Journal of Food Properties
language:en
Short-container-title:International Journal of Food Properties

Author:

Sun Jun¹²,Jiang Shuying¹,Mao Hanping²,Wu Xiaohong¹,Li Qinglin²

Affiliation:

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

2. Laboratory Venlo of Modern Agricultural Equipment, Jiangsu University, Zhenjiang, China

Funder

National Natural Science Funds

Graduate Research Projects of Jiangsu University

Jiangsu Planned Projects for Postdoctoral Research Funds

Undergraduate Research Projects of Jiangsu University

China Postdoctoral Science Foundation

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Informa UK Limited

Subject

Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/10942912.2015.1055760

Reference24 articles.

1. Effects of ultrasound on the structure and physical properties of black bean protein isolates

2. Classification of fresh and frozen-thawed pork muscles using visible and near infrared hyperspectral imaging and textural analysis

3. Grape seed characterization by NIR hyperspectral imaging

4. Data Mining-Based Wavelength Selection for Monitoring Quality of Tomato Fruit by Backscattering and Multispectral Imaging

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2. Rapid and nondestructive watermelon (Citrullus lanatus) seed viability detection based on visible near‐infrared hyperspectral imaging technology and machine learning algorithms;Journal of Food Science;2024-06-21

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4. Effect of selected pre-processing methods by PLSR to predict low-fat mozzarella texture measured by hyperspectral imaging;Journal of Food Measurement and Characterization;2024-05-17

5. Geographical origin discrimination of black beans using near-infrared (NIR) spectroscopy combined with fuzzy regularized complete linear discriminant analysis (FRCLDA);Analytical Letters;2024-03-20

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