Intelligent chlorophyll estimation by attention‐integrated deep learning and dual‐modal fusion in tencha drying using snapshot multispectral camera
The results underscore the viability of leveraging snapshot multispectral technology coupled with spectral-image dual-modality fusion for precise chlorophyll content monitoring. This innovative approach provides a rapid, non-invasive solution for assessing chlorophyll levels in tencha, offering enhanced quality control throughout the drying process with emerging technological capabilities. © 2025 Society of Chemical Industry.
Authors
- Hui-Lin Chang (ORCID: https://orcid.org/0000-0002-2428-2861)
- Jiazhen Cai
- Qin Ouyang (ORCID: https://orcid.org/0000-0002-8469-3099)
Institutions
- Jiangsu University (CN)
Publication Details
- Journal
- Journal of the Science of Food and Agriculture
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1002/jsfa.14385
- Citations
- 1
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 0.75
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation