Gelişmiş Arama

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dc.contributor.authorPekel, Engin
dc.date.accessioned2021-11-01T15:03:07Z
dc.date.available2021-11-01T15:03:07Z
dc.date.issued2020
dc.identifier.issn0167-6369
dc.identifier.issn1573-2959
dc.identifier.urihttps://doi.org/10.1007/s10661-020-08251-z
dc.identifier.urihttps://hdl.handle.net/11491/6979
dc.description.abstractSoil plays a vital role in the climate system. This paper performs decision tree regression to estimate soil moisture (SM) by considering different parameters that include air temperature, time, relative humidity, and soil temperature. Besides, this paper investigates the effects of the parameters of decision tree regression by utilizing the response surface. The obtained estimation results of two distinct soil areas, Field and Forest, indicate that two different soil areas have distinct estimation quality. Furthermore, numerical results of the training stage show that the estimation of SM for Field and Forest soil performing decision tree regression offers 0.0019 and 0.0025 mean absolute error (MAE), respectively. Moreover, numerical results show that the interaction of the parameters of the performed algorithm plays a vital role in the estimation stage of Field and Forest soils.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.ispartofEnvironmental Monitoring And Assessmenten_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial learningen_US
dc.subjectDecision tree regressionen_US
dc.subjectEstimationen_US
dc.subjectPerformance evaluationen_US
dc.subjectSoil moistureen_US
dc.titleInvestigation of estimation performance for different soil areasen_US
dc.typearticleen_US
dc.department[Belirlenecek]en_US
dc.authoridPEKEL, Engin / 0000-0002-5295-8013
dc.identifier.volume192en_US
dc.identifier.issue5en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.department-temp[Pekel, Engin] Hitit Univ, Fac Engn, Dept Ind Engn, Corum, Turkeyen_US
dc.contributor.institutionauthor[Belirlenecek]
dc.identifier.doi10.1007/s10661-020-08251-z
dc.description.wospublicationidWOS:000525759400001en_US
dc.description.scopuspublicationid2-s2.0-85083407257en_US
dc.description.pubmedpublicationidPubMed: 32291529en_US


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