Prediction of hysteretic matric potential dynamics using artificial intelligence: application of autoencoder neural networks

Information on soil water potential is essential to assessing the soil moisture state, to prevent soil compaction in weak soils, and to optimize crop management. When there is a lack of direct measurements, the soil water potential values must be deduced from soil water content dynamics that can be...

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Bibliographic Details
Published in:Geoscientific Model Development Vol. 17; no. 18; pp. 6949 - 6966
Main Authors: Aqel, Nedal, Reusser, Lea, Margreth, Stephan, Carminati, Andrea, Lehmann, Peter
Format: Journal Article
Language:English
Published: Katlenburg-Lindau Copernicus GmbH 18.09.2024
Copernicus Publications
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ISSN:1991-9603, 1991-959X, 1991-962X, 1991-9603, 1991-962X
Online Access:Get full text
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