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Use of machine learning methods in predicting the main components of essential oils: <i>Laurus nobilis</i> L.

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dc.contributor.authorSALTAN, FATMA ZERRİN
dc.contributor.authorFatma Zerrin Saltan
dc.contributor.orcid0000-0002-0537-4517
dc.contributor.orcid0000-0001-8739-0256
dc.date.accessioned2025-11-13T10:29:48Z
dc.date.issued2024-09-02
dc.identifier.doihttps://doi.org/10.1080/0972060x.2024.2334383
dc.identifier.endpage1318
dc.identifier.issn0972-060X
dc.identifier.issue5
dc.identifier.openalexW4402421644
dc.identifier.startpage1302
dc.identifier.urihttps://hdl.handle.net/11421/4333
dc.identifier.urihttps://doi.org/10.1080/0972060x.2024.2334383
dc.identifier.volume27
dc.language.isoen
dc.relation.ispartofJournal of Essential Oil Bearing Plants
dc.rightsrestrictedAccess
dc.subjectLaurus nobilis
dc.subjectEssential oil
dc.subjectLauraceae
dc.subjectBotany
dc.subjectBiology
dc.subject.sdg2
dc.titleUse of machine learning methods in predicting the main components of essential oils: <i>Laurus nobilis</i> L.
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5031793475

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