GAE-YOLO: a lightweight multimodal detection framework for tomato smart agriculture with edge computing
This work establishes a new paradigm for edge computing in agriculture while providing critical technical support for smart farming development.
Authors
- Xiaoke Liu (ORCID: https://orcid.org/0000-0001-5661-8174)
- Teng Wang (ORCID: https://orcid.org/0000-0002-1673-5613)
- Chengzhen Wang
- Yuzhong Peng (ORCID: https://orcid.org/0000-0002-1958-8612)
- Jianming Liu (ORCID: https://orcid.org/0000-0001-5847-4880)
- Haoran Yu
- Xiaoqing Han (ORCID: https://orcid.org/0009-0002-7206-0005)
- Zhuoyi Yao
Institutions
- Weifang Medical University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-11-19
- DOI
- https://doi.org/10.3389/fpls.2025.1712432
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00