<scp>Near‐infrared spectroscopy</scp> coupled with Gramian angular field two‐dimensional convolutional neural network for white tea adulteration detection
This study introduces the application of the NIR spectral image coding method in tea regression and highlights the advantages of deep learning image processing in the tea industry. © 2025 Society of Chemical Industry.
Authors
- Yan Huang (ORCID: https://orcid.org/0000-0002-5548-2727)
- Yuanjian Zhang (ORCID: https://orcid.org/0009-0000-5652-1524)
- Chengjiang Wei
- Weijiang Sun
- Tengyue Zou (ORCID: https://orcid.org/0000-0001-5854-4877)
- Jun Cheng (ORCID: https://orcid.org/0000-0002-3131-3275)
- Qinglan Chen (ORCID: https://orcid.org/0000-0001-5285-1817)
- Zhiqiang Zheng (ORCID: https://orcid.org/0009-0003-2019-4164)
Institutions
- Fujian Agriculture and Forestry University (CN)
Publication Details
- Journal
- Journal of the Science of Food and Agriculture
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1002/jsfa.14353
- Citations
- 2
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 1.50
Funders
- National Natural Science Foundation of China