A novel lightweight YOLOv8-PSS model for obstacle detection on the path of unmanned agricultural vehicles
The model performed effectively under real-world conditions, providing robust technical support for future research on autonomous obstacle avoidance in unmanned agricultural machinery.
Authors
- Jianjun Yin (ORCID: https://orcid.org/0000-0002-3335-2171)
- Yijun Fang (ORCID: https://orcid.org/0009-0007-5098-2478)
- Zhijian Chen (ORCID: https://orcid.org/0000-0002-1182-7340)
- Lu Liu (ORCID: https://orcid.org/0000-0001-8137-671X)
- Muhammad Farhan (ORCID: https://orcid.org/0000-0003-4034-9680)
- Shiyu Lv
Institutions
- Jiangsu University (CN)
- Anhui Agricultural University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2024-12-24
- DOI
- https://doi.org/10.3389/fpls.2024.1509746
- Citations
- 7
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 4.20
Funders
- National Natural Science Foundation of China