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June 26, 2026npj Science of FoodOpen Access

Publisher Correction: Deep learning enable precision authentication of seasonal and processing signatures in tieguanyin tea

Chao Zheng Xiaohe Zhou Ningning Shao Jiayi Cheng Wei Xin Ying Liu Junling Zhou

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Key Points

The aim was to correct authorship attribution in previous work on tea authentication using deep learning techniques.
Correction of authorship for previously published work.
Clarification of contributions by research team members.
Correct authorship attribution highlights the importance of precise communication in research.
Affirmation of the validity of findings on tea authentication remains unchanged.

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Implication

Publisher correction clarifies corresponding authors for the analysis of tea signature authentication, implying an oversight in authorship.

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Cite This Study

Zheng et al. (2026) studied this question.

synapsesocial.com/papers/6a40ba8861bb0a67205c65f4 https://doi.org/10.1038/s41538-026-00928-y

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