Reference:Reference-021137
From CSDMS
Publication information
| Author(s) | Saikai, Yuji; Peake, Allan; Chenu, Karine; Shafiee-Jood, Majid; |
| BibType | journalArticle |
| Title | Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedback |
| Year | 2023-09-06 |
| Journal | PLOS Water |
| Volume | 2 |
| Pages | e0000169 |
| URL | https://dx.plos.org/10.1371/journal.pwat.0000169 |
| DOI | 10.1371/journal.pwat.0000169 |
| Note | Auto downloaded ref at: 2024-08-29 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
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gold | cc-by | publishedVersion | 2026-08-31 |
Download locations
| URL | Host | License | Version | |
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| link | publisher | cc-by | publishedVersion |
Additional information
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| Highlighted paper on group site | No | |
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| Feature reference | No | |
| Semantic_ID | 2b9f1da2d0551f382ca92b32dd3258fb7833266b | |
| Nr of citations | 32 | |
| 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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