Quantitative relationship model between soil profile salinity and soil depth in cotton fields based on data assimilation algorithm: forecasting cotton field yields and profits

Quantitative relationship model between soil profile salinity and soil depth in cotton fields based on data assimilation algorithm: forecasting cotton field yields and profits

Soil salinization seriously affects the efficiency of crops in absorbing soil nutrients, and the cotton production in southern Xinjiang accounts for more than 60% of China’s total. Therefore, it is crucial to monitor the dynamic changes in the salinity of the soil profile in cotton fields in souther...

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Bibliographic Details
Main Authors: Yang Gao, Lin Chang, Mei Zeng, Quanze Hu, Jiaojiao Hui, Qingsong Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Plant Science
Subjects:
salinization
apparent conductivity
soil conductivity
multivariate linear algorithm
Kalman filter
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1519200/full
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