Reference:Reference-020951: Difference between revisions
From CSDMS
Created page with "{{CSDMS reference template cargo |DOIentry=10.1007/s13593-016-0364-z }} {{RefsInt1 |FeatureRef=No |PublicationClusterID=0 |MS_PublicationClusterID=0 |Semantic_ID=0e145a0b4e62d4d924877b45313839790b551e85 |PublicationWhatKindOf=a module application description |PublicationHPCCYesno=No |PublicationNrofModels=a single module }} {{RefsInt2 |PublicationMultipleModelsCargo=ApsimX }} {{RefsInt3}}" |
m Text replacement - "None" to "" |
||
| (4 intermediate revisions by 2 users not shown) | |||
| Line 1: | Line 1: | ||
{{ | {{BibEntryCargo | ||
| | |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 | |||
|Journal=Agronomy for Sustainable Development | |||
|Booktitle= | |||
|Volume=36 | |||
|Pages= | |||
|URL=http://link.springer.com/10.1007/s13593-016-0364-z | |||
|DOI=10.1007/s13593-016-0364-z | |||
|Note=Auto downloaded ref at: 2024-08-18 | |||
}} | }} | ||
{{RefsInt1 | {{RefsInt1 | ||
| Line 6: | Line 16: | ||
|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=0 | |MS_PublicationClusterID=0 | ||
|Semantic_ID=0e145a0b4e62d4d924877b45313839790b551e85 | |Semantic_ID=0e145a0b4e62d4d924877b45313839790b551e85 |CorpusID=24202950 | ||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |||
|PublicationHPCCYesno=No | |PublicationHPCCYesno=No | ||
}} | }} | ||
{{RefsInt2 | {{RefsInt2 | ||
|PublicationMultipleModelsCargo=ApsimX | |PublicationMultipleModelsCargo=ApsimX | ||
}} | }} | ||
{{RefsInt3}} | {{RefsInt3 | ||
|PublicationAnimationsCargo= | |||
}} | |||
Latest revision as of 11:42, 12 November 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 | |
| Volume | 36 |
| Pages | |
| 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
|
