Reference:Reference-002549: Difference between revisions

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|DOIentry=10.1016/J.AGRFORMET.2019.05.018
|Firstname=Feng, Puyu; Wang, Bin; Liu, De Li; Waters, Cathy; Yu, Qiang;
|BibType=journalArticle
|Title=Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia
|Year=2019-09-01
|Journal=Agricultural and Forest Meteorology
|Booktitle=
|Volume=275
|Pages=100–113
|URL=https://linkinghub.elsevier.com/retrieve/pii/S0168192319301893
|DOI=10.1016/j.agrformet.2019.05.018
|Note=Auto downloaded ref at: 2020-06-02
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Revision as of 16:47, 2 June 2020



Author(s) Feng, Puyu; Wang, Bin; Liu, De Li; Waters, Cathy; Yu, Qiang;
BibType journalArticle
Title Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia
Editors
Year 2019-09-01
Journal Agricultural and Forest Meteorology
Booktitle
Volume 275
Pages 100–113
URL https://linkinghub.elsevier.com/retrieve/pii/S0168192319301893
DOI 10.1016/j.agrformet.2019.05.018
ISBN
Note Auto downloaded ref at: 2020-06-02


 
Feature reference No
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MS_PublicationClusterID 2946844666
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Nr of citations Template:SEM
Sort of publication a module application description
Sort of model publication a single module
Is the CSDMS HPC used No
If HPC is used, for what project was it?:
Associated simulation movie if any:


Model(s) discussed: ApsimX