UAV-based multitier feature selection improves nitrogen content estimation in arid-region cotton

Collectively, the study provides robust guidance for precision nitrogen management in cotton production within arid regions.

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Publication Details

Journal
Frontiers in Plant Science
Published
2025-08-12
DOI
https://doi.org/10.3389/fpls.2025.1639101
Citations
1
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
1.72
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article

UAV-based multitier feature selection improves nitrogen content estimation in arid-region cotton

Cheng Zhao, Yingjie Ma, Yanzhao Guo, Ning Lv et al.
1 citations
Frontiers in Plant Science
Remote Sensing in Agriculture
1.72
article

UAV-based multitier feature selection improves nitrogen content estimation in arid-region cotton

Cheng Zhao, Yingjie Ma, Yanzhao Guo, Ning Lv, Fengxiu Li
article en
1 citations

Abstract

Collectively, the study provides robust guidance for precision nitrogen management in cotton production within arid regions.

Frontiers in Plant ScienceVol. 16
Xinjiang Agricultural University (CN), Xinjiang Academy of Agricultural and Reclamation Science (CN), Xinjiang Institute of Water Resources and Hydropower Research (CN)
Responsible consumption and production
Openalex Percentile: Top 15%
Remote Sensing in Agriculture
1.72
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