LSTM time series prediction of soil moisture content in kiwifruit root zone based on meteorological data fusion

LSTM time series prediction of soil moisture content in kiwifruit root zone based on meteorological data fusion

Accurate prediction of soil moisture content (SMC) is important for water resource management, irrigation optimization, and drought monitoring. Current research focuses on inverse monitoring of SMC, but management decisions based on inverse results often suffer from lags. In contrast, predictive stu...

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Bibliographic Details
Main Authors: Jingyuan He, Weifeng Li, Shijia Pan, Nikolaos Sygrimis, Zijie Niu, Dongyan Zhang, Dong Han, Petro A. Roussos
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Smart Agricultural Technology
Subjects:
Root zone soil moisture content
Meteorological data
Multispectral imaging
Unmanned aerial remote sensing
Temporal analysis net work
Water resource management
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525002515
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