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

Bibliographic Details
Main Authors: Jikai Liu, Yongji Zhu, Lijuan Song, Xiangxiang Su, Jun Li, Jing Zheng, Xueqing Zhu, Lantian Ren, Wenhui Wang, Xinwei Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1378628/full
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author Jikai Liu
Jikai Liu
Yongji Zhu
Lijuan Song
Lijuan Song
Xiangxiang Su
Jun Li
Jing Zheng
Xueqing Zhu
Lantian Ren
Lantian Ren
Wenhui Wang
Xinwei Li
Xinwei Li
author_facet Jikai Liu
Jikai Liu
Yongji Zhu
Lijuan Song
Lijuan Song
Xiangxiang Su
Jun Li
Jing Zheng
Xueqing Zhu
Lantian Ren
Lantian Ren
Wenhui Wang
Xinwei Li
Xinwei Li
author_sort Jikai Liu
collection DOAJ
first_indexed 2024-03-07T20:00:07Z
format Article
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institution Directory Open Access Journal
issn 1664-462X
language English
last_indexed 2024-03-07T20:00:07Z
publishDate 2024-02-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Plant Science
spelling doaj.art-674d23565ed94dee80ed6d866599e4e02024-02-28T09:55:34ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2024-02-011510.3389/fpls.2024.13786281378628Corrigendum: Optimizing window size and directional parameters of GLCM texture features for estimating rice AGB based on UAVs multispectral imageryJikai Liu0Jikai Liu1Yongji Zhu2Lijuan Song3Lijuan Song4Xiangxiang Su5Jun Li6Jing Zheng7Xueqing Zhu8Lantian Ren9Lantian Ren10Wenhui Wang11Xinwei Li12Xinwei Li13College of Resource and Environment, Anhui Science and Technology University, Chuzhou, Anhui, ChinaAnhui Province Crop Intelligent Planting and Processing Technology Engineering Research Center, Anhui Science and Technology University, Chuzhou, Anhui, ChinaCollege of Resource and Environment, Anhui Science and Technology University, Chuzhou, Anhui, ChinaInstitute of Agricultural Remote Sensing and Information, Heilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang, ChinaSchool of Management, Heilongjiang University of Science and Technology, Harbin, Heilongjiang, ChinaCollege of Resource and Environment, Anhui Science and Technology University, Chuzhou, Anhui, ChinaCollege of Resource and Environment, Anhui Science and Technology University, Chuzhou, Anhui, ChinaCollege of Life Science, Langfang Normal University, Langfang, Hebei, ChinaCollege of Resource and Environment, Anhui Science and Technology University, Chuzhou, Anhui, ChinaAnhui Province Crop Intelligent Planting and Processing Technology Engineering Research Center, Anhui Science and Technology University, Chuzhou, Anhui, ChinaCollege of Agriculture, Anhui Science and Technology University, Chuzhou, Anhui, ChinaCollege of Life Science, Langfang Normal University, Langfang, Hebei, ChinaCollege of Resource and Environment, Anhui Science and Technology University, Chuzhou, Anhui, ChinaAnhui Province Crop Intelligent Planting and Processing Technology Engineering Research Center, Anhui Science and Technology University, Chuzhou, Anhui, Chinahttps://www.frontiersin.org/articles/10.3389/fpls.2024.1378628/fullunmanned aerial vehicles (UAVs)aboveground biomass (AGB)multispectral imagerytexture features (TFs)grey level co-occurrence matrix (GLCM)rice
spellingShingle Jikai Liu
Jikai Liu
Yongji Zhu
Lijuan Song
Lijuan Song
Xiangxiang Su
Jun Li
Jing Zheng
Xueqing Zhu
Lantian Ren
Lantian Ren
Wenhui Wang
Xinwei Li
Xinwei Li
Corrigendum: Optimizing window size and directional parameters of GLCM texture features for estimating rice AGB based on UAVs multispectral imagery
Frontiers in Plant Science
unmanned aerial vehicles (UAVs)
aboveground biomass (AGB)
multispectral imagery
texture features (TFs)
grey level co-occurrence matrix (GLCM)
rice
title Corrigendum: Optimizing window size and directional parameters of GLCM texture features for estimating rice AGB based on UAVs multispectral imagery
title_full Corrigendum: Optimizing window size and directional parameters of GLCM texture features for estimating rice AGB based on UAVs multispectral imagery
title_fullStr Corrigendum: Optimizing window size and directional parameters of GLCM texture features for estimating rice AGB based on UAVs multispectral imagery
title_full_unstemmed Corrigendum: Optimizing window size and directional parameters of GLCM texture features for estimating rice AGB based on UAVs multispectral imagery
title_short Corrigendum: Optimizing window size and directional parameters of GLCM texture features for estimating rice AGB based on UAVs multispectral imagery
title_sort corrigendum optimizing window size and directional parameters of glcm texture features for estimating rice agb based on uavs multispectral imagery
topic unmanned aerial vehicles (UAVs)
aboveground biomass (AGB)
multispectral imagery
texture features (TFs)
grey level co-occurrence matrix (GLCM)
rice
url https://www.frontiersin.org/articles/10.3389/fpls.2024.1378628/full
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