Correction: Kuang et al. A CNN-LSTM-XGBoost Hybrid Framework for Interpretable Nitrogen Stress Classification Using Multimodal UAV Imagery. Remote Sens. 2026, 18, 538

Kuang, Xiaohui; Hou, Xinyue; Wang, Dawei; Mao, Bohan; Li, Yafeng; Chen, Deshan; Fu, Wanna; Cheng, Qian; Duan, Fuyi; Li, Hao; Chen, Zhen

doi:10.3390/rs18081113

Open AccessCorrection

Correction: Kuang et al. A CNN-LSTM-XGBoost Hybrid Framework for Interpretable Nitrogen Stress Classification Using Multimodal UAV Imagery. Remote Sens. 2026, 18, 538

by

Xiaohui Kuang

^1,2,3,

Xinyue Hou

^1,*,

Dawei Wang

¹,

Bohan Mao

^2,3,

Yafeng Li

²,

Deshan Chen

²,

Wanna Fu

²

,

Qian Cheng

²,

Fuyi Duan

²,

Hao Li

³

and

Zhen Chen

²

¹

Heilongjiang Provincial Hydraulic Research Institute, Harbin 150080, China

²

Institute of Farmland Irrigation, Chinese Academy of Agricultural Sciences, Xinxiang 453002, China

³

State Key Laboratory of Crop Stress Adaptation and Improvement, College of Agriculture, School of Life Sciences, Henan University, Kaifeng 475004, China

^*

Author to whom correspondence should be addressed.

Remote Sens. 2026, 18(8), 1113; https://doi.org/10.3390/rs18081113

Submission received: 16 March 2026 / Accepted: 23 March 2026 / Published: 9 April 2026

Download Versions Notes

Correction to Author Order and Corresponding Author

Following publication, the authors noticed that the author order and numbering, as well as the corresponding author details, displayed in the original publication [1] are incorrect. Therefore, the authors kindly request an administrative correction to update the author order and numbering as follows:

(1) Heilongjiang Provincial Hydraulic Research Institute, Harbin 150080, China;

(2) Institute of Farmland Irrigation, Chinese Academy of Agricultural Sciences, Xinxiang 453002, China;

(3) State Key Laboratory of Crop Stress Adaptation and Improvement, College of Agriculture, School of Life Sciences, Henan University, Kaifeng 475004, China.

In addition, the corresponding author information has been updated to Xinyue Hou (email: 13945056735@163.com).

The author order and author–affiliation mapping have been revised to match the above affiliation numbering, as agreed by all authors: Xiaohui Kuang (1,2,3); Xinyue Hou (1,*); Dawei Wang (1); Bohan Mao (2,3); Yafeng Li (2); Deshan Chen (2); Wanna Fu (2); Qian Cheng (2); Fuyi Duan (2); Hao Li (3); and Zhen Chen (2).

The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

Kuang, X.; Hou, X.; Wang, D.; Mao, B.; Li, Y.; Chen, D.; Fu, W.; Cheng, Q.; Duan, F.; Li, H.; et al. A CNN-LSTM-XGBoost Hybrid Framework for Interpretable Nitrogen Stress Classification Using Multimodal UAV Imagery. Remote Sens. 2026, 18, 538. [Google Scholar] [CrossRef]

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MDPI and ACS Style

Kuang, X.; Hou, X.; Wang, D.; Mao, B.; Li, Y.; Chen, D.; Fu, W.; Cheng, Q.; Duan, F.; Li, H.; et al. Correction: Kuang et al. A CNN-LSTM-XGBoost Hybrid Framework for Interpretable Nitrogen Stress Classification Using Multimodal UAV Imagery. Remote Sens. 2026, 18, 538. Remote Sens. 2026, 18, 1113. https://doi.org/10.3390/rs18081113

AMA Style

Kuang X, Hou X, Wang D, Mao B, Li Y, Chen D, Fu W, Cheng Q, Duan F, Li H, et al. Correction: Kuang et al. A CNN-LSTM-XGBoost Hybrid Framework for Interpretable Nitrogen Stress Classification Using Multimodal UAV Imagery. Remote Sens. 2026, 18, 538. Remote Sensing. 2026; 18(8):1113. https://doi.org/10.3390/rs18081113

Chicago/Turabian Style

Kuang, Xiaohui, Xinyue Hou, Dawei Wang, Bohan Mao, Yafeng Li, Deshan Chen, Wanna Fu, Qian Cheng, Fuyi Duan, Hao Li, and et al. 2026. "Correction: Kuang et al. A CNN-LSTM-XGBoost Hybrid Framework for Interpretable Nitrogen Stress Classification Using Multimodal UAV Imagery. Remote Sens. 2026, 18, 538" Remote Sensing 18, no. 8: 1113. https://doi.org/10.3390/rs18081113

APA Style

Kuang, X., Hou, X., Wang, D., Mao, B., Li, Y., Chen, D., Fu, W., Cheng, Q., Duan, F., Li, H., & Chen, Z. (2026). Correction: Kuang et al. A CNN-LSTM-XGBoost Hybrid Framework for Interpretable Nitrogen Stress Classification Using Multimodal UAV Imagery. Remote Sens. 2026, 18, 538. Remote Sensing, 18(8), 1113. https://doi.org/10.3390/rs18081113

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Correction: Kuang et al. A CNN-LSTM-XGBoost Hybrid Framework for Interpretable Nitrogen Stress Classification Using Multimodal UAV Imagery. Remote Sens. 2026, 18, 538

Correction to Author Order and Corresponding Author

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