Reference:Reference-021137
From CSDMS
| 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 | None |
| 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
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 2b9f1da2d0551f382ca92b32dd3258fb7833266b |
| CorpusID | 255393954 |
| 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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