Reference:Reference-002433
From CSDMS
Publication information
| Author(s) | Everingham, Yvette; Sexton, Justin; Skocaj, Danielle; Inman-Bamber, Geoff; |
| BibType | journalArticle |
| Title | Accurate prediction of sugarcane yield using a random forest algorithm |
| Year | 2016-06-01 |
| Journal | Agronomy for Sustainable Development |
| Volume | 36 |
| Pages | 27 |
| URL | http://link.springer.com/10.1007/s13593-016-0364-z |
| DOI | 10.1007/s13593-016-0364-z |
| Note | Auto downloaded ref at: 2020-06-02 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
|---|---|---|---|---|---|---|
 |
bronze | publishedVersion | 2026-08-31 |
Download locations
| URL | Host | License | Version | |
|---|---|---|---|---|
| link | repository | other-oa | submittedVersion | |
| link | publisher | publishedVersion |
Additional information
| |
||
| Highlighted paper on group site | No | |
| Highlight text | ||
| Highlight image | ||
| Which groups | ||
| Feature reference | No | |
| 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: |
| |
| Model(s) discussed: | ApsimX |
