Hyperspectral Image-Based Variety Discrimination of Maize Seeds by Using a Multi-Model Strategy Coupled with Unsupervised Joint Skewness-Based Wavelength Selection Algorithm-Reference-Cited by-同舟云学术

Hyperspectral Image-Based Variety Discrimination of Maize Seeds by Using a Multi-Model Strategy Coupled with Unsupervised Joint Skewness-Based Wavelength Selection Algorithm

Published:2016-07-11 Issue:2 Volume:10 Page:424-433
ISSN:1936-9751
Container-title:Food Analytical Methods
language:en
Short-container-title:Food Anal. Methods

Author:

Yang Sai,Zhu Qi -Bing,Huang Min,Qin Jian-Wei

Publisher

Springer Science and Business Media LLC

Subject

Safety Research,Safety, Risk, Reliability and Quality,Applied Microbiology and Biotechnology,Food Science,Analytical Chemistry

Link

http://link.springer.com/content/pdf/10.1007/s12161-016-0597-0.pdf

Reference26 articles.

1. Arun J, Indra D, Ranbeer S (2010) Characterization of agro-diversity by seed storage protein electrophoresis: focus on rice germplasm from Uttarakhand Himalaya, India. Rice Sci 17(2):122–128

2. Cen H-Y, Lu R-F, Ariana D-P, Mendoza F (2014) Hyperspectral imaging-based classification and wavelengths selection for internal defect detection of pickling cucumbers. Food Bioprocess Technol 6(7):1689–1700

3. Gao J-F, Li X-L, Zhu F-L, He Y (2013) Application of hyperspectral imaging technology to discriminate different geographical origins of Jatropha curcas L. Seeds. Comput Electron Agric 99(6):186–193

4. Geng X-R, Sun K, Ji L-Y, Tang H-R, Zhao Y-C (2015) Joint skewness and its application in unsupervised band selection for small target detection. Sci Rep UK 5:1–9

5. He H-J, Wu D, Sun D-W (2014) Rapid and non-destructive determination of drip loss and pH distribution in farmed Atlantic salmon (Salmo salar) fillets using visible and near-infrared (Vis–NIR) hyperspectral imaging. Food Chem 156(11):394–401

Cited by 32 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. Using VIS-NIR hyperspectral imaging and deep learning for non-destructive high-throughput quantification and visualization of nutrients in wheat grains;Food Chemistry;2024-12

2. Paddy seed viability prediction based on feature fusion of color and hyperspectral image with multivariate analysis;Heliyon;2024-09

3. Identification of maize seed vigor based on hyperspectral imaging and deep learning;Bulletin of the National Research Centre;2024-08-30

4. Non-Destructive Classification of Maize Seeds Based on RGB and Hyperspectral Data with Improved Grey Wolf Optimization Algorithms;Agronomy;2024-03-22

5. Discrimination of Thai melon seeds using near-infrared spectroscopy and adaptive self-organizing maps;Chemometrics and Intelligent Laboratory Systems;2024-02