Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation
- DOI
- 10.1016/j.plaphe.2025.100011
- Published
- 2025-03
- Container
- Plant Phenomics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.plaphe.2025.100011,
title = {Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation},
author = {Rui Yang and Mengyuan Chen and Xiangyu Lu and Yong He and Yanmei Li and Mingliang Xu and Mu Li and Wei Huang and Fei Liu},
year = {2025},
journal = {Plant Phenomics},
doi = {10.1016/j.plaphe.2025.100011},
url = {https://doi.org/10.1016/j.plaphe.2025.100011}
}RIS
TY - JOUR TI - Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation AU - Rui Yang AU - Mengyuan Chen AU - Xiangyu Lu AU - Yong He AU - Yanmei Li AU - Mingliang Xu AU - Mu Li AU - Wei Huang AU - Fei Liu PY - 2025 JO - Plant Phenomics DO - 10.1016/j.plaphe.2025.100011 UR - https://doi.org/10.1016/j.plaphe.2025.100011 ER -
APA
Yang, R., Chen, M., Lu, X., He, Y., Li, Y., Xu, M., Li, M., Huang, W., & Liu, F. (2025). Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation. Plant Phenomics. https://doi.org/10.1016/j.plaphe.2025.100011
Source records
- crossref · retrieved 2026-09-26T17:35:51.725Z