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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| Published in: | Geoscientific Model Development Vol. 17; no. 18; pp. 6949 - 6966 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Katlenburg-Lindau
Copernicus GmbH
18.09.2024
Copernicus Publications |
| Subjects: | |
| ISSN: | 1991-9603, 1991-959X, 1991-962X, 1991-9603, 1991-962X |
| Online Access: | Get full text |
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