Rapid quantitative analysis of adulterated rice with partial least squares regression using hyperspectral imaging system-Reference-Cited by-同舟云学术

Rapid quantitative analysis of adulterated rice with partial least squares regression using hyperspectral imaging system

Author:

Guo Lianbo¹,Yu Yunxin¹,Yu Hanyue¹,Tang Yun¹,Li Jun²,Du Yu³^ORCID,Chu Yanwu¹,Ma Shixiang¹,Ma Yuyang¹,Zeng Xiaoyan¹

Affiliation:

1. Wuhan National Laboratory for Optoelectronics (WNLO)Huazhong University of Science and Technology Wuhan China

2. School of Geography and Planning and Guangdong Key Laboratory for Urbanization and Geo‐SimulationSun Yat‐sen University Guangzhou China

3. College of Communication EngineeringJilin University Changchun China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Nutrition and Dietetics,Agronomy and Crop Science,Food Science,Biotechnology

Link

Reference28 articles.

2. The jasmine rice (KDML 105 variety) adulteration detection using physico‐chemical properties;Pitiphunpong S;Chiang Mai J Sci,2011

3. Review of methods for the detection and quantification of adulteration of rice: basmati as a case study;Vemireddy LR;J Food Sci Technol,2015

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