Reference:Reference-020951
From CSDMS
| 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 | None |
| Volume | 36 |
| Pages | None |
| 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 | 214 |
| 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
|
