Prediction of Chlorophyll Content in Multi-Temporal Winter Wheat Based on Multispectral and Machine Learning

To obtain the canopy chlorophyll content of winter wheat in a rapid and non-destructive high-throughput manner, the study was conducted on winter wheat in Xinjiang Manas Experimental Base in 2021, and the multispectral images of two water treatments' normal irrigation (NI) and drought stress (D...

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Bibliographic Details
Main Authors: Wei Wang, Yukun Cheng, Yi Ren, Zhihui Zhang, Hongwei Geng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2022.896408/full