<scp>TeaBudLiteNet</scp> : a lightweight network for detecting tea leaf buds
The proposed TeaBudLiteNet effectively reduces model complexity at the same time as preserving high detection accuracy and real-time performance. Its lightweight architecture and superior efficiency make it highly suitable for deployment on resource-limited smart agricultural devices. By providing an efficient and robust solution for tea leaf bud detection in complex environments, this study demonstrates significant potential for automating tea harvesting and contributes to the advancement of intelligent agricultural systems. © 2026 Society of Chemical Industry.
Authors
- Xiaolei Chen (ORCID: https://orcid.org/0009-0000-2965-3863)
- Long Wu (ORCID: https://orcid.org/0000-0002-6696-2486)
- Jianlong Zhang (ORCID: https://orcid.org/0000-0001-9930-2639)
- Shuyu Chen (ORCID: https://orcid.org/0000-0002-2522-6415)
- Jiemin Hu
- Xu Yang
- Yong Zhang
- Lu Xu
Institutions
- Zhejiang Sci-Tech University (CN)
- Shaoxing University (CN)
- Harbin Institute of Technology (CN)
Publication Details
- Journal
- Journal of the Science of Food and Agriculture
- Published
- 2026-01-08
- DOI
- https://doi.org/10.1002/jsfa.70441
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00