Reference:Reference-033992
From CSDMS
Publication information
| Author(s) | Guo, Jing; Fei, Teng; Yang, Xiumei; Lilburne, Linda; Moot, Derrick; Martin, Brent; Teixeira, Edmar; Yang, Man; |
| BibType | journalArticle |
| Title | Can we use APSIM’s embedded expert knowledge to ‘train’ a machine learning model to identify, at high resolution, land suitable to grow lucerne (Medicago sativa L.) using simplified climate data? |
| Year | 2025-10 |
| Journal | European Journal of Agronomy |
| Volume | 171 |
| Pages | 127815 |
| URL | https://linkinghub.elsevier.com/retrieve/pii/S1161030125003119 |
| DOI | 10.1016/j.eja.2025.127815 |
| Note | Auto downloaded ref at: 2026-06-11 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
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hybrid | cc-by | publishedVersion | 2026-08-31 |
Download locations
| URL | Host | License | Version | |
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| link | publisher | cc-by | publishedVersion | |
| link | repository | cc-by | publishedVersion |
Additional information
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| Feature reference | No | |
| Semantic_ID | e6c112f2e2054557daf0ba73355e7f991a822275 | |
| Nr of citations | 2 | |
| 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
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