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Frontiers in Plant Science logoLink to Frontiers in Plant Science
. 2024 Feb 28;15:1378628. doi: 10.3389/fpls.2024.1378628

Corrigendum: Optimizing window size and directional parameters of GLCM texture features for estimating rice AGB based on UAVs multispectral imagery

Jikai Liu 1,2,, Yongji Zhu 1,, Lijuan Song 3,4, Xiangxiang Su 1, Jun Li 1, Jing Zheng 5, Xueqing Zhu 1, Lantian Ren 2,6, Wenhui Wang 5,*, Xinwei Li 1,2,*
PMCID: PMC10934226  PMID: 38481399

In the published article, there was an error in the UAVs data acquisition time of three rice phenological phase. 2 Materials and methods, 2.3.1 UAVs data acquisition and preprocessing, Paragraph 1 previously stated: “The DJI Phantom 4 Multispectral RTK (P4M) UAVs (DJI, Shenzhen, Guangdong, China) was used to acquire multispectral images at four growth stages, including the late tillering stage (LT: 25/07/2020), booting stage (B: 23/08/2023), heading to flowering stage (HtF: 31/08/2023), and early filling stage (EF: 09/09/2023) (Table 1).”

The corrected sentence appears below:

“The DJI Phantom 4 Multispectral RTK (P4M) UAVs (DJI, Shenzhen, Guangdong, China) was used to acquire multispectral images at four growth stages, including the late tillering stage (LT: 25/07/2020), booting stage (B: 23/08/2020), heading to flowering stage (HtF: 31/08/2020), and early filling stage (EF: 09/09/2020) (Table 1).”

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

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