Correction: A Bayesian belief data mining approach applied to rice and shrimp aquaculture.
| Title: | Correction: A Bayesian belief data mining approach applied to rice and shrimp aquaculture. |
|---|---|
| Authors: | Randall M; Lewis A; Stewart-Koster B; Anh ND; Burford MA; Condon J; Qui NV; Hiep LH; Bay DV; Sang NV; Sammut J |
| Source: | PloS one [PLoS One] 2024 Jul 11; Vol. 19 (7), pp. e0307315. Date of Electronic Publication: 2024 Jul 11 (Print Publication: 2024). |
| Publication Type: | Published Erratum |
| Language: | English |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE; PubMed not MEDLINE |
| Imprint Name(s): | Original Publication: San Francisco, CA : Public Library of Science |
| Abstract: | [This corrects the article DOI: 10.1371/journal.pone.0262402.].; (Copyright: © 2024 Randall et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.) |
| Comments: | Erratum for: PLoS One. 2022 Feb 09;17(2):e0262402. doi: 10.1371/journal.pone.0262402.. (PMID: 35139095) |
| References: | PLoS One. 2022 Feb 9;17(2):e0262402. (PMID: 35139095) |
| Entry Date(s): | Date Created: 20240711 Latest Revision: 20240724 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC11238996 |
| DOI: | 10.1371/journal.pone.0307315 |
| PMID: | 38990970 |
| Database: | MEDLINE |
Published Erratum