Reference:Reference-020951: Difference between revisions

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|Title=Accurate prediction of sugarcane yield using a random forest algorithm
|Year=2016-06
|Journal=Agronomy for Sustainable Development
|Booktitle=None
|Volume=36
|Pages=None
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Revision as of 23:15, 17 August 2024



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
Journal Agronomy for Sustainable Development
Booktitle None
Volume 36
Pages None
URL http://link.springer.com/10.1007/s13593-016-0364-z
DOI 10.1007/s13593-016-0364-z
ISBN
Note Auto downloaded ref at: 2024-08-18


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 0
Semantic_ID 0e145a0b4e62d4d924877b45313839790b551e85
Nr of citations 215
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