BAG: A Linear-Nonlinear Hybrid Time Series Prediction Model for Soil Moisture
Soil moisture time series data are usually nonlinear in nature and are influenced by multiple environmental factors. The traditional autoregressive integrated moving average (ARIMA) method has high prediction accuracy but is only suitable for linear problems and only predicts data with a single colu...
| Published in: | Agriculture |
|---|---|
| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/13/2/379 |