Combining spectral and texture feature of UAV image with plant height to improve LAI estimation of winter wheat at jointing stage

Combining spectral and texture feature of UAV image with plant height to improve LAI estimation of winter wheat at jointing stage

IntroductionLeaf area index (LAI) is a critical physiological and biochemical parameter that profoundly affects vegetation growth. Accurately estimating the LAI for winter wheat during jointing stage is particularly important for monitoring wheat growth status and optimizing variable fertilization d...

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Bibliographic Details
Main Authors: Mengxi Zou, Yu Liu, Maodong Fu, Cunjun Li, Zixiang Zhou, Haoran Meng, Enguang Xing, Yanmin Ren
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Plant Science
Subjects:
plant height
feature fusion
machine learning
deep learning
UAV
LAI
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1272049/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2023.1272049/full

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