CFPR-YOLO: chili flower pose estimation for robotic pollination in unstructured environments.
- DOI
- 10.3389/fpls.2026.1861155
- Published
- 2026
- Container
- Frontiers in plant science
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 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.2026.1861155,
title = {CFPR-YOLO: chili flower pose estimation for robotic pollination in unstructured environments.},
author = {Kuang M and Wang Y and Li X and Liu D and Xiang Y and Liu F and Zou X and Xie F and Zhang Y and Li X},
year = {2026},
journal = {Frontiers in plant science},
doi = {10.3389/fpls.2026.1861155},
url = {https://doi.org/10.3389/fpls.2026.1861155}
}RIS
TY - JOUR TI - CFPR-YOLO: chili flower pose estimation for robotic pollination in unstructured environments. AU - Kuang M AU - Wang Y AU - Li X AU - Liu D AU - Xiang Y AU - Liu F AU - Zou X AU - Xie F AU - Zhang Y AU - Li X PY - 2026 JO - Frontiers in plant science DO - 10.3389/fpls.2026.1861155 UR - https://doi.org/10.3389/fpls.2026.1861155 ER -
APA
M, K., Y, W., X, L., D, L., Y, X., F, L., X, Z., F, X., Y, Z., & X, L. (2026). CFPR-YOLO: chili flower pose estimation for robotic pollination in unstructured environments.. Frontiers in plant science. https://doi.org/10.3389/fpls.2026.1861155
Source records
- pubmed · retrieved 2026-09-26T14:27:33.584Z