Optimizing nitrogen topdressing for winter wheat by coupling remote sensing data with the DSSAT model

This study balances yield and production costs by developing a data assimilation strategy for N fertilization recommendations, which can maintain high productivity and sustainability.

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Publication Details

Journal
Frontiers in Plant Science
Published
2025-11-21
DOI
https://doi.org/10.3389/fpls.2025.1658254
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimizing nitrogen topdressing for winter wheat by coupling remote sensing data with the DSSAT model

Wude Yang, Zhenhai Li, Meichen Feng, Yu Zhao et al.
Frontiers in Plant Science
Remote Sensing in Agriculture
article

Optimizing nitrogen topdressing for winter wheat by coupling remote sensing data with the DSSAT model

Wude Yang, Zhenhai Li, Meichen Feng, Yu Zhao, Haikuan Feng, Guoqiang Li, Zhang Wen, Lujie Xiao, Chao Wang
article en

Abstract

This study balances yield and production costs by developing a data assimilation strategy for N fertilization recommendations, which can maintain high productivity and sustainability.

Frontiers in Plant ScienceVol. 16
Shanxi Agricultural University (CN), Henan Academy of Agricultural Sciences (CN), Ministry of Agriculture and Rural Affairs (CN), National Engineering Research Center for Information Technology in Agriculture (CN)
Shanxi Agricultural University
Openalex Percentile: Top 65%
Remote Sensing in Agriculture
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Optimizing nitrogen topdressing for winter wheat by coupling remote sensing data with the DSSAT model — Wude Yang, Zhenhai Li, et al. · Frontiers in Plant Science (2025) | TGRS Research Map | TGRS