Global Optimization of Cultivar Trait Parameters in the Simulation of Sugarcane Phenology Using Gaussian Process Emulation

The global optimization of parameters in process-based crop models is often considered computationally expensive. Gaussian process (GP) emulation is a widely used method for reducing the computational burden of the optimization process. Total above-ground biomass and cane dry weight of three Thai su...

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Detalhes bibliográficos

Principais autores:	W. B. M. A. C. Bandara, Kazuhito Sakai, Tamotsu Nakandakari, Preecha Kapetch, Mitsumasa Anan, Shinya Nakamura, Hideki Setouchi, R. H. K. Rathnappriya
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-07-01
coleção:	Agronomy
Assuntos:	APSIM differential evolution algorithm Gaussian process emulation global optimization sugarcane
Acesso em linha:	https://www.mdpi.com/2073-4395/11/7/1379
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