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Using machine learning to enhance agricultural productivity in Turkey: insights on the importance of soil moisture, temperature and precipitation patterns (vol 21, pg 6981, 2024)

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dc.contributor.authorAltan, M. Uzunoz
dc.contributor.authorNabatov, E.
dc.date.accessioned2026-06-27T15:10:07Z
dc.date.issued2025
dc.description.urihttps://doi.org/10.1007/s13762-024-05840-0
dc.identifier.doi10.1007/s13762-024-05840-0
dc.identifier.eissn1735-2630
dc.identifier.endpage659
dc.identifier.issn1735-1472
dc.identifier.issue1
dc.identifier.startpage659
dc.identifier.urihttps://hdl.handle.net/20.500.14981/68502
dc.identifier.volume22
dc.identifier.wos001255251400002
dc.language.isoeng
dc.publisherSPRINGER
dc.relation.ispartofINTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
dc.rightsopenAccess
dc.subjectEnvironmental Sciences & Ecology
dc.titleUsing machine learning to enhance agricultural productivity in Turkey: insights on the importance of soil moisture, temperature and precipitation patterns (vol 21, pg 6981, 2024)
dc.typeCorrection
dspace.entity.typePublication
local.import.sourceWOS

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