Reference:Reference-014335: Difference between revisions
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|Firstname=Shahhosseini, Mohsen; Hu, Guiping; Huber, Isaiah; Archontoulis, Sotirios V.; | |Firstname=Shahhosseini, Mohsen; Hu, Guiping; Huber, Isaiah; Archontoulis, Sotirios V.; | ||
|BibType=journalArticle | |BibType=journalArticle | ||
|Title=Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt | |Title=Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt | ||
|Year= | |Year=2021 | ||
|Journal=Scientific Reports | |Journal=Scientific Reports | ||
|Volume=11 | |Volume=11 | ||
|Pages=1606 | |Pages=1606 | ||
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|MS_PublicationClusterID=3121715254 | |MS_PublicationClusterID=3121715254 | ||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationHPCCYesno=No | |||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module | ||
}} | }} | ||
{{RefsInt2 | {{RefsInt2 | ||
|PublicationMultipleModelsCargo=ApsimX | |PublicationMultipleModelsCargo=ApsimX | ||
}} | }} | ||
{{RefsInt3}} | |||
Revision as of 16:05, 16 April 2021
| Author(s) | Shahhosseini, Mohsen; Hu, Guiping; Huber, Isaiah; Archontoulis, Sotirios V.; |
| BibType | journalArticle |
| Title | Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt |
| Editors | |
| Year | 2021 |
| Journal | Scientific Reports |
| Booktitle | |
| Volume | 11 |
| Pages | 1606 |
| URL | http://www.nature.com/articles/s41598-020-80820-1 |
| DOI | 10.1038/s41598-020-80820-1 |
| ISBN | |
| Note | Auto downloaded ref at: 2021-04-16
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| |
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 3121715254 |
| 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: |
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| Model(s) discussed: | ApsimX
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