Non-Linear Models for Assessing Soil Moisture Estimation

Non-Linear Models for Assessing Soil Moisture Estimation

Accurately estimating soil moisture (SM) without direct measurements poses significant challenges due to nonlinear interactions in meteorological variables and the lagged response of SM to precipitation. This study evaluates two approaches: the auto-regressive integrated moving average (ARIMA) model...

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Bibliographic Details
Main Authors:	Rui Li, Susu Wang, Han Wu, Hao Dong, Dezhi Kong, Hanxue Li, Dorothy S. Zhang, Haitao Chen
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Series:	Horticulturae
Subjects:	soil moisture estimation auto-regressive integrated moving average multilayer perceptron K-means clustering
Online Access:	https://www.mdpi.com/2311-7524/11/5/492
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