Machine learning of factors for improving oyster hatchery production.

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Bibliographic Details
Title: Machine learning of factors for improving oyster hatchery production.
Authors: Vishwakarma S; Computational Sciences & Engineering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America., Gray MW; Horn Point Laboratory, University of Maryland Center for Environmental Science, Cambridge, Maryland, United States of America., Silsbe GM; Horn Point Laboratory, University of Maryland Center for Environmental Science, Cambridge, Maryland, United States of America., Lyubchich V; Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, United States of America.
Source: PloS one [PLoS One] 2026 Mar 20; Vol. 21 (3), pp. e0345084. Date of Electronic Publication: 2026 Mar 20 (Print Publication: 2026).
Publication Type: Journal Article
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
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0345084