Short-Term Soil Moisture Forecasting via Gaussian Process Regression with Sample Selection
Soil moisture is a critical limiting factor for crop growth. Accurate soil moisture prediction helps to schedule irrigation and improve the crop production. A soil moisture prediction method based on Gaussian Process Regression (GPR) is proposed in this paper. In order to reduce the computation time...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-11-01
|
| Series: | Water |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4441/12/11/3085 |