Deep learning enable precision authentication of seasonal and processing signatures in tieguanyin tea
Crossref DOI link: https://doi.org/10.1038/s41538-026-00837-0
Published Online: 2026-04-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zheng, Chao
Zhou, Xiaohe
Shao, Ningning
Cheng, Jiayi
Xin, Wei
Liu, Ying
Zhou, Junling
Text and Data Mining valid from 2026-04-10
Accepted Manuscript valid from 2026-04-10
Article History
Received: 31 December 2025
Accepted: 29 March 2026
First Online: 10 April 2026
Competing interests
: The authors declare no competing interests.