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

Jikai Liu; Yongji Zhu; Lijuan Song; Xiangxiang Su; Jun Li; Jing Zheng; Xueqing Zhu; Lantian Ren; Wenhui Wang; Xinwei Li

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

Front Plant Sci. 2024 Feb 28:15:1378628. doi: 10.3389/fpls.2024.1378628. eCollection 2024.

Authors

Jikai Liu^#^{1

2}, Yongji Zhu^#¹, Lijuan Song^{3

4}, Xiangxiang Su¹, Jun Li¹, Jing Zheng⁵, Xueqing Zhu¹, Lantian Ren^{2

6}, Wenhui Wang⁵, Xinwei Li^{1

2}

Affiliations

¹ College of Resource and Environment, Anhui Science and Technology University, Chuzhou, Anhui, China.
² Anhui Province Crop Intelligent Planting and Processing Technology Engineering Research Center, Anhui Science and Technology University, Chuzhou, Anhui, China.
³ Institute of Agricultural Remote Sensing and Information, Heilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang, China.
⁴ School of Management, Heilongjiang University of Science and Technology, Harbin, Heilongjiang, China.
⁵ College of Life Science, Langfang Normal University, Langfang, Hebei, China.
⁶ College of Agriculture, Anhui Science and Technology University, Chuzhou, Anhui, China.

^# Contributed equally.

Abstract

[This corrects the article DOI: 10.3389/fpls.2023.1284235.].

Keywords: aboveground biomass (AGB); grey level co-occurrence matrix (GLCM); multispectral imagery; rice; texture features (TFs); unmanned aerial vehicles (UAVs).

Publication types

Published Erratum