Analyzing moisture-heat coupling in a wheat-soil system using data-driven vector autoregression model
Soil temperature and moisture have a close relationship, the accurate controlling of which is important for crop growth. Mechanistic models built by previous studies need exhaustive parameters and seldom consider time stochasticity and lagging effect. To circumvent these problems, this study designe...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2019-06-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/7101.pdf |