Multiple-Depth Soil Moisture Estimates Using Artificial Neural Network and Long Short-Term Memory Models

Multiple-Depth Soil Moisture Estimates Using Artificial Neural Network and Long Short-Term Memory Models

Accurate prediction of soil moisture is important yet challenging in various disciplines, such as agricultural systems, hydrology studies, and ecosystems studies. However, many data-driven models are being used to simulate and predict soil moisture at only a single depth. To predict soil moisture at...

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Bibliographic Details
Main Authors: Heechan Han, Changhyun Choi, Jongsung Kim, Ryan R. Morrison, Jaewon Jung, Hung Soo Kim
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Water
Subjects:
data-driven models
four layers
forecasting
soil moisture
Online Access:https://www.mdpi.com/2073-4441/13/18/2584

Internet

https://www.mdpi.com/2073-4441/13/18/2584

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