Reference:Reference-021137: Difference between revisions
From CSDMS
Tag: Undo |
m Text replacement - "None" to "" |
||
| Line 5: | Line 5: | ||
|Year=2023-09-06 | |Year=2023-09-06 | ||
|Journal=PLOS Water | |Journal=PLOS Water | ||
|Booktitle= | |Booktitle= | ||
|Volume=2 | |Volume=2 | ||
|Pages=e0000169 | |Pages=e0000169 | ||
| Line 25: | Line 25: | ||
}} | }} | ||
{{RefsInt3 | {{RefsInt3 | ||
|PublicationAnimationsCargo= | |PublicationAnimationsCargo= | ||
}} | }} | ||
Latest revision as of 11:43, 12 November 2024
| 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 |
| Editors | |
| Year | 2023-09-06 |
| Journal | PLOS Water |
| Booktitle | |
| Volume | 2 |
| Pages | e0000169 |
| URL | https://dx.plos.org/10.1371/journal.pwat.0000169 |
| DOI | 10.1371/journal.pwat.0000169 |
| ISBN | |
| Note | Auto downloaded ref at: 2024-08-29
|
| |
|
| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 2b9f1da2d0551f382ca92b32dd3258fb7833266b |
| 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: |
|
| Model(s) discussed: | ApsimX
|
