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_creationDate | Datetime | 2020-06-02 7:37:40 PM |
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_pageName | Page | Reference:Reference-002587 |
_pageTitle | String | Reference-002587 |
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PublicationMultipleModelsCargo | String | ApsimX |
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MS_PublicationClusterID | String | | 2002888413 |
Semantic_ID | String | | 5571f59b313d9915095230bcce54c5cb0f2b8535 |
PublicationCitationsNr | String | | 39 |
PublicationWhatKindOf | String | a module overview describing a module · a module application description · module related theory · reference to source code · none of the above | a module application description |
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Field | Field type | Allowed values | Value |
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Firstname | String | | Everingham, Y.L.; Smyth, C.W.; Inman-Bamber, N.G.; |
BibType | String | journalArticle · report · bookSection · webpage · conferencePaper · MISC | journalArticle |
Title | String | | Ensemble data mining approaches to forecast regional sugarcane crop production |
Editors | String | | |
Year | Date | | 2009-03-01 |
Journal | String | | Agricultural and Forest Meteorology |
Booktitle | String | | |
Volume | String | | 149 |
Pages | String | | 689–696 |
URL | String | | https://linkinghub.elsevier.com/retrieve/pii/S0168192308003043 |
DOI | String | | 10.1016/j.agrformet.2008.10.018 |
ISBN | String | | |
Note | String | | Auto downloaded ref at: 2020-06-02 |