A Rapid Non-destructive Detection Method for Wolfberry Moisture Grade Using Hyperspectral Imaging Technology-Reference-Cited by-同舟云学术

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A Rapid Non-destructive Detection Method for Wolfberry Moisture Grade Using Hyperspectral Imaging Technology

Published:2023-05-23 Issue:2 Volume:42 Page:
ISSN:0195-9298
Container-title:Journal of Nondestructive Evaluation
language:en
Short-container-title:J Nondestruct Eval

Author:

Nirere Adria,Sun Jun,Yuhao Zhong

Funder

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://link.springer.com/content/pdf/10.1007/s10921-023-00944-y.pdf

Reference52 articles.

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2. Ali, S., Smith-Miles, K.A.: A meta-learning approach to automatic kernel selection for support vector machines. Neurocomputing 70(1), 173–186 (2006). https://doi.org/10.1016/j.neucom.2006.03.004

3. Alimohammadi, F., Rasekh, M., Sayyah, A.H.A., Abbaspour-Gilandeh, Y., Karami, H., Sharabiani, V.R., et al.: Hyperspectral imaging coupled with multivariate analysis and artificial intelligence to the classification of maize kernels. Int. Agrophys. 36(2), 83–91 (2022). https://doi.org/10.31545/intagr/147227

4. Bai, Z., Hu, X., Tian, J., Chen, P., Luo, H., Huang, D.: Rapid and nondestructive detection of sorghum adulteration using optimization algorithms and hyperspectral imaging. Food Chem. 331, 127290 (2020). https://doi.org/10.1016/j.foodchem.2020.127290

5. Belesky, P.: Regional governance, food security and rice reserves in East Asia. Glob. Food Secur. 3(3), 167–173 (2014). https://doi.org/10.1016/j.gfs.2014.09.002

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1. A hyperspectral imaging technique for rapid non-destructive detection of soluble solid content and firmness of wolfberry;Journal of Food Measurement and Characterization;2024-08-07

2. Hyperspectral imaging combined with spectral-imagery feature fusion convolutional neural network to discriminate different geographical origins of wolfberries;Journal of Food Composition and Analysis;2024-08

3. Optical design and development of an underwater dual-channel microlens array integral field snapshot hyperspectral imager;Applied Optics;2024-07-19

4. 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

5. A Method for Non-destructive Detection of Moisture Content in Oilseed Rape Leaves Using Hyperspectral Imaging Technology;Journal of Nondestructive Evaluation;2024-03-06

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