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Peer-reviewedCC BYPlants (Basel, Switzerland)

Fusion of Multi-Spectral Features from UAVs to Improve the Accuracy of Total Soil Nitrogen Estimation During the Corn Growing Season

  • Wenxing He1
  • Minhua Yin1
  • Yuhong Pu1
  • Guoyun Shen2
  • Yanxia Kang1
  • Guangping Qi1
  • Yayu Wang1
  • Boda Li1
  • Mingzhu Wang1
  • Jiapeng Zhu1
  1. 1College of Water Conservancy and Hydropower Engineering, , Lanzhou 730070, China; (W.H.); (Y.P.); (G.Q.); (Y.W.); (B.L.); (M.W.); (J.Z.)
  2. 2Gansu Province Jingtai Chuan Power Irrigation Water Resource Utilization Center, Baiyin 730400, China;
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Cite

BibTeXRIS
BibTeX
@article{he2026fusion,
  title = {{Fusion of Multi-Spectral Features from UAVs to Improve the Accuracy of Total Soil Nitrogen Estimation During the Corn Growing Season}},
  author = {Wenxing He and Minhua Yin and Yuhong Pu and Guoyun Shen and Yanxia Kang and Guangping Qi and Yayu Wang and Boda Li and Mingzhu Wang and Jiapeng Zhu},
  journal = {Plants (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13709055},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Fusion of Multi-Spectral Features from UAVs to Improve the Accuracy of Total Soil Nitrogen Estimation During the Corn Growing Season
AU  - Wenxing He
AU  - Minhua Yin
AU  - Yuhong Pu
AU  - Guoyun Shen
AU  - Yanxia Kang
AU  - Guangping Qi
AU  - Yayu Wang
AU  - Boda Li
AU  - Mingzhu Wang
AU  - Jiapeng Zhu
PY  - 2026
DA  - 2026/10/01
JO  - Plants (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13709055
SN  - 2223-7747
ER  -