Development of analytical method associating near-infrared spectroscopy with one-dimensional convolution neural network: a case study-Reference-Cited by-同舟云学术

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Development of analytical method associating near-infrared spectroscopy with one-dimensional convolution neural network: a case study

Published:2021-03-18 Issue:4 Volume:15 Page:2963-2973
ISSN:2193-4126
Container-title:Journal of Food Measurement and Characterization
language:en
Short-container-title:Food Measure

Author:

Lin Hong,Pan Tianhong^ORCID,Li Yuqiang,Chen Shan,Li Guoquan

Funder

The National Key R&D Program under Grant of China

Key R&D Program of Jiangsu Province, China

University Synergy Innovation Program of Anhui Province, China

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality,General Chemical Engineering,Food Science

Link

https://link.springer.com/content/pdf/10.1007/s11694-021-00878-x.pdf

Reference29 articles.

1. Y.Y. Chen, Z.B. Wang, End-to-end quantitative analysis modeling of near-infrared spectroscopy based on convolutional neural network. J. Chemom. 33, 3122–3134 (2019)

2. Z. Yang, H. Xiao, L. Zhang, D. Feng, F. Zhang, M. Jiang, Q. Sui, L. Jia, Fast determination of oxides content in cement raw meal using NIR spectroscopy combined with synergy interval partial least square and different preprocessing methods. Measurement 149, 106990 (2020)

3. T.L. Stubbs, A.C. Kennedy, A. Fortuna, Using NIRS to predict fiber and nutrient content of dryland cereal cultivars. J. Agric. Food Chem. 58, 398–403 (2010)

4. R. Tang, X. Chen, C. Li, Detection of nitrogen content in rubber leaves using near-infrared (NIR) spectroscopy with correlation based successive projections algorithm (SPA). Appl. Spectrosc. 72, 740–749 (2018)

5. P. Sirisomboon, J. Nawayon, Evaluation of soluble solids of curry soup containing coconut milk by near infrared spectroscopy. J. Near Infrared Spectrosc. 25, 203–210 (2017)

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1. Rapid and Non-Destructive Geographical Origin Identification of Chuanxiong Slices Using Near-Infrared Spectroscopy and Convolutional Neural Networks;Agriculture;2024-08-03

2. Identification of softwood species using convolutional neural networks and raw near-infrared spectroscopy;Wood Material Science & Engineering;2022-10-06

3. Probing 1D convolutional neural network adapted to near-infrared spectroscopy for efficient classification of mixed fish;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2022-10

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