Reference:Reference-002433
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 | 2016-06-01 | |
| Journal | Agronomy for Sustainable Development | |
| Booktitle | ||
| Volume | 36 | |
| Pages | 27 | |
| URL | http://link.springer.com/10.1007/s13593-016-0364-z | |
| DOI | 10.1007/s13593-016-0364-z | |
| ISBN | ||
| Note | Auto downloaded ref at: 2020-06-02
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| Highlighted paper on group site | ||
| Which groups | ||
| Feature reference | No | |
| PublicationClusterID | 0 | |
| MS_PublicationClusterID | 2337031030 | |
| Semantic_ID | 666a1a459f3524801e970dbe445c0209d3d435cc | |
| Nr of citations | 17 | |
| 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 |
