Daily soil moisture prediction during winter wheat growth season using an SCSSA-CNN-BiLSTM model
【Objective】Accurate prediction of field soil moisture is crucial for managing agricultural production and water-saving irrigation. This paper proposes a new method to predict soil moisture changes.【Method】The hybrid deep learning model, SCSSA-CNN-BiLSTM, was integrated with Sine Cosine Cauchy Sparro...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Science Press
2025-08-01
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| Series: | Guan'gai paishui xuebao |
| Subjects: | |
| Online Access: | https://www.ggpsxb.com/jgpxxben/ch/reader/view_abstract.aspx?file_no=20250801&flag=1 |
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