Reference:Reference-002583: Difference between revisions
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| | |Firstname=Feng, Puyu; Wang, Bin; Liu, De Li; Waters, Cathy; Xiao, Dengpan; Shi, Lijie; Yu, Qiang; | ||
|BibType=journalArticle | |||
|Title=Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique | |||
|Year=2020-05-01 | |||
|Journal=Agricultural and Forest Meteorology | |||
|Booktitle= | |||
|Volume=285 | |||
|Pages=107922 | |||
|URL=https://linkinghub.elsevier.com/retrieve/pii/S0168192320300241 | |||
|DOI=10.1016/j.agrformet.2020.107922 | |||
|Note=Auto downloaded ref at: 2020-06-02 | |||
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|MS_PublicationClusterID=3005029250 | |MS_PublicationClusterID=3005029250 | ||
|Semantic_ID=0423b043d31ff52779f8876a6c38e8e300e0c0b1 | |||
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Latest revision as of 14:51, 9 January 2022
| Author(s) | Feng, Puyu; Wang, Bin; Liu, De Li; Waters, Cathy; Xiao, Dengpan; Shi, Lijie; Yu, Qiang; |
| BibType | journalArticle |
| Title | Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique |
| Editors | |
| Year | 2020-05-01 |
| Journal | Agricultural and Forest Meteorology |
| Booktitle | |
| Volume | 285 |
| Pages | 107922 |
| URL | https://linkinghub.elsevier.com/retrieve/pii/S0168192320300241 |
| DOI | 10.1016/j.agrformet.2020.107922 |
| ISBN | |
| Note | Auto downloaded ref at: 2020-06-02
|
| |
|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 3005029250 |
| Semantic_ID | 0423b043d31ff52779f8876a6c38e8e300e0c0b1 |
| Nr of citations | 42 |
| 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 |
