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...

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Detalles Bibliográficos
Autores principales: Feng, Xiaohang, Zhang, Xia, Feng, Zhenqi, Wei, Yichang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Agricultural Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6568251/
https://www.ncbi.nlm.nih.gov/pubmed/31218134
http://dx.doi.org/10.7717/peerj.7101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6568251/
https://www.ncbi.nlm.nih.gov/pubmed/31218134
http://dx.doi.org/10.7717/peerj.7101

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