Reference:Reference-002583: Difference between revisions
From CSDMS
m Text replacement - "|Semantic_ID=0423b043d31ff52779f8876a6c38e8e300e0c0b1" to "|Semantic_ID=0423b043d31ff52779f8876a6c38e8e300e0c0b1 |CorpusID=213271282" |
m Text replacement - " |CorpusID=" to " |CorpusID=" |
||
| Line 16: | Line 16: | ||
|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=3005029250 | |MS_PublicationClusterID=3005029250 | ||
|Semantic_ID=0423b043d31ff52779f8876a6c38e8e300e0c0b1 |CorpusID=213271282 | |Semantic_ID=0423b043d31ff52779f8876a6c38e8e300e0c0b1 | ||
|CorpusID=213271282 | |||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module | ||
Revision as of 07:25, 1 October 2024
| 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
| |
| |
||
| Highlighted paper on group site | ||
| Which groups | ||
| Feature reference | No | |
| PublicationClusterID | 0 | |
| MS_PublicationClusterID | 3005029250 | |
| Semantic_ID | 0423b043d31ff52779f8876a6c38e8e300e0c0b1 | |
| Nr of citations | 117 | |
| 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 |
