HDMS-YOLO: a multi-scale weed detection model for complex farmland environments
The proposed HDMS-YOLO model exhibits strong capability in extracting and representing weed features, leading to improved identification accuracy and generalisation. These results highlight its potential application in precision farm management and the development of intelligent weed-removal robots for unmanned agricultural systems.
Authors
- Jing Hua (ORCID: https://orcid.org/0000-0002-9808-3355)
- Yanhua Zeng (ORCID: https://orcid.org/0000-0001-5825-671X)
- Qi Chen (ORCID: https://orcid.org/0000-0002-3792-0594)
- Ruimin He
Institutions
- Jiangxi Agricultural University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-10-22
- DOI
- https://doi.org/10.3389/fpls.2025.1696392
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00