Alfalfa-Yolo: a boundary-aware lightweight framework for real-time weed detection in alfalfa fields.
- DOI
- 10.3389/fpls.2026.1955970
- Published
- 2026
- Container
- Frontiers in plant science
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/fpls.2026.1955970,
title = {Alfalfa-Yolo: a boundary-aware lightweight framework for real-time weed detection in alfalfa fields.},
author = {Wang J and Li K and Zhou T and Xu Y and Gao Y and Li C and Zhao Y},
year = {2026},
journal = {Frontiers in plant science},
doi = {10.3389/fpls.2026.1955970},
url = {https://doi.org/10.3389/fpls.2026.1955970}
}RIS
TY - JOUR TI - Alfalfa-Yolo: a boundary-aware lightweight framework for real-time weed detection in alfalfa fields. AU - Wang J AU - Li K AU - Zhou T AU - Xu Y AU - Gao Y AU - Li C AU - Zhao Y PY - 2026 JO - Frontiers in plant science DO - 10.3389/fpls.2026.1955970 UR - https://doi.org/10.3389/fpls.2026.1955970 ER -
APA
J, W., K, L., T, Z., Y, X., Y, G., C, L., & Y, Z. (2026). Alfalfa-Yolo: a boundary-aware lightweight framework for real-time weed detection in alfalfa fields.. Frontiers in plant science. https://doi.org/10.3389/fpls.2026.1955970
Source records
- pubmed · retrieved 2026-11-10T10:48:24.705Z
- europe-pmc · retrieved 2026-11-10T10:48:24.691Z
- doaj · retrieved 2026-11-10T10:48:24.684Z