Author

Shoko H. Morita

Japan Fisheries Research and Education Agency

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Ecology· 1

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Research Focus:ecology & biodiversity· 1 Approach:machine learning (classical)· 1 Organism:multiple species· 1

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Hiroshi KurodaiD· 1 shared Hiroshi OkamuraiD· 1 shared

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2023-2023 · peak 1/yr

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1 shared paperEcology

Hiroshi KurodaORCID

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Recent·Most cited

EcologyFisheries ResearchPeer-reviewedJun 6, 2023

Forecasting fish recruitment using machine learning methods: A case study of arabesque greenling

Hiroshi Okamura, Shoko H. Morita, Hiroshi Kuroda

This study uses machine learning to predict fish recruitment for Arabesque greenling, finding gradient boosting outperforms linear regression and random forest in accuracy.

6 citations

multiple speciesmachine learning (classical)

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