PHRF-RTDETR: a lightweight weed detection method for upland rice based on RT-DETR
Overall, the PHRF-RTDETR model demonstrates potential for implementation in the detection modules of intelligent weeding robots for upland rice systems, offering dual benefits of reducing agricultural production costs through labor efficiency and contributing to improved food security in drought-prone regions.
Authors
- Xinglin Jin (ORCID: https://orcid.org/0009-0005-9221-1968)
- Yunshuang Wang
- Bing Zhou (ORCID: https://orcid.org/0000-0003-3446-3903)
- Meng Zhao (ORCID: https://orcid.org/0000-0001-5242-8699)
- Jianping Yang (ORCID: https://orcid.org/0000-0002-5905-2169)
- Jinfeng Wu (ORCID: https://orcid.org/0000-0001-6065-4944)
- Jinheng Zhang
- Fei Wang (ORCID: https://orcid.org/0000-0002-6243-8484)
Institutions
- Yunnan Agricultural University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-06-24
- DOI
- https://doi.org/10.3389/fpls.2025.1556275
- Citations
- 2
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 3.50