Reference:Reference-002433: Difference between revisions

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|DOIentry=10.1007/S13593-016-0364-Z
|Firstname=Everingham, Yvette; Sexton, Justin; Skocaj, Danielle; Inman-Bamber, Geoff;
|BibType=journalArticle
|Title=Accurate prediction of sugarcane yield using a random forest algorithm
|Year=2016-06-01
|Journal=Agronomy for Sustainable Development
|Booktitle=
|Volume=36
|Pages=27
|URL=http://link.springer.com/10.1007/s13593-016-0364-z
|DOI=10.1007/s13593-016-0364-z
|Note=Auto downloaded ref at: 2020-06-02
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Revision as of 15:19, 2 June 2020



Author(s) Everingham, Yvette; Sexton, Justin; Skocaj, Danielle; Inman-Bamber, Geoff;
BibType journalArticle
Title Accurate prediction of sugarcane yield using a random forest algorithm
Editors
Year 2016-06-01
Journal Agronomy for Sustainable Development
Booktitle
Volume 36
Pages 27
URL http://link.springer.com/10.1007/s13593-016-0364-z
DOI 10.1007/s13593-016-0364-z
ISBN
Note Auto downloaded ref at: 2020-06-02


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 2337031030
Semantic_ID {{{Semantic_ID}}}
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