Estimation of Spring Maize Evapotranspiration in Semi-Arid Regions of Northeast China Using Machine Learning: An Improved SVR Model Based on PSO and RF Algorithms
Accurate estimation of crop evapotranspiration (<i>ET<sub>c</sub></i>) is crucial for effective irrigation and water management. To achieve this, support vector regression (SVR) was applied to estimate the daily <i>ET<sub>c</sub></i> of spring maize. R...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-04-01
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| Series: | Water |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4441/15/8/1503 |