GLUEOS: A high performance computing system based on the orchestration of containers for the GLUE parameter calibration of a crop growth model-Reference-Cited by-同舟云学术

GLUEOS: A high performance computing system based on the orchestration of containers for the GLUE parameter calibration of a crop growth model

Published:2022-06 Issue: Volume:197 Page:106906
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Hyun Shinwoo,Park Jin Yu,Kim Junhwan,Fleisher David H.,Kim Kwang Soo

Funder

Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries

Ministry of Agriculture, Food and Rural Affairs

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference51 articles.

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1. Effects of different observed datasets on the calibration of crop model parameters with GLUE: A case study using the CROPGRO-Soybean phenological model;PLOS ONE;2024-06-13

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3. A modularized parallel distributed High–Performance computing framework for simulating seasonal frost dynamics in Canadian croplands;Computers and Electronics in Agriculture;2023-09