PPNet: a deep learning framework for rice seedling localization and distribution from UAV orthomosaics
- DOI
- 10.3389/fpls.2026.1932877
- Published
- 2026-10-13
- Container
- Frontiers in Plant Science
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fpls.2026.1932877,
title = {PPNet: a deep learning framework for rice seedling localization and distribution from UAV orthomosaics},
author = {Yongchao Shan and Anqi Zhang and Xiaofei An and Jianhui Nie and Zhicheng Zhang and Chunjiang Zhao and Jingping Chen and Weiqiang Fu},
year = {2026},
journal = {Frontiers in Plant Science},
doi = {10.3389/fpls.2026.1932877},
url = {https://doi.org/10.3389/fpls.2026.1932877}
}RIS
TY - JOUR TI - PPNet: a deep learning framework for rice seedling localization and distribution from UAV orthomosaics AU - Yongchao Shan AU - Anqi Zhang AU - Xiaofei An AU - Jianhui Nie AU - Zhicheng Zhang AU - Chunjiang Zhao AU - Jingping Chen AU - Weiqiang Fu PY - 2026 JO - Frontiers in Plant Science DO - 10.3389/fpls.2026.1932877 UR - https://doi.org/10.3389/fpls.2026.1932877 ER -
APA
Shan, Y., Zhang, A., An, X., Nie, J., Zhang, Z., Zhao, C., Chen, J., & Fu, W. (2026). PPNet: a deep learning framework for rice seedling localization and distribution from UAV orthomosaics. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2026.1932877
Source records
- crossref · retrieved 2026-11-09T21:30:35.010Z