Rapid resolution of types and proportions of broken grains using hyperspectral imaging and optimization algorithm

Author:

Lei Yu,Hu Xinjun,Tian Jianping,Zhang Jiahong,Yan Songcai,Xue Qinyuan,Ma Xiaoyan,Chen Manjiao,Huang Dan

Funder

Sichuan University of Science and Engineering

Sichuan Province Science and Technology Support Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Biochemistry,Food Science

Reference29 articles.

1. Rapid qualitative and quantitative determination of food colorants by both Raman spectra and Surface-enhanced Raman Scattering (SERS);Ai;Food Chem.,2018

2. DBHC: A DBSCAN-Based Hierarchical Clustering Algorithm Data & Knowledge Engineering(prepublish);Alireza,2021

3. Rapid and nondestructive detection of sorghum adulteration using optimization algorithms and hyperspectral imaging;Bai;Food Chem.,2020

4. Prediction of the sorption efficiency of heavy metal onto biochar using a robust combination of fuzzy C-means clustering and back-propagation neural network;Bo;J. Environ. Manag.,2021

5. Vis-NIR hyperspectral imaging for the classification of bacterial foodborne pathogens based on pixel-wise analysis and a novel CARS-PSO-SVM model;Bonah;Infrared Phys. Technol.,2020

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