Ensemble machine learning approaches for estimating soil texture components in loess soils of Golestan Province

dc.contributor.author	Taghizadeh-Mehrjardi, Ruhollah
dc.date.accessioned	2025-10-28T09:34:32Z
dc.date.available	2025-10-28T09:34:32Z
dc.date.issued	2025
dc.identifier.issn	1865-0473
dc.identifier.uri	http://hdl.handle.net/10900/171646
dc.language.iso	en	de_DE
dc.publisher	Heidelberg : Springer Heidelberg	de_DE
dc.relation.uri	http://dx.doi.org/10.1007/s12145-025-01897-8	de_DE
dc.subject.ddc	004	de_DE
dc.subject.ddc	550	de_DE
dc.title	Ensemble machine learning approaches for estimating soil texture components in loess soils of Golestan Province	de_DE
dc.type	Article	de_DE
utue.quellen.id	20250630000000_00289
utue.personen.roh	Bandak, Soraya
utue.personen.roh	Boali, Abdolhossein
utue.personen.roh	Yaghobi, Soraya
utue.personen.roh	Taghizadeh-Mehrjardi, Ruhollah
dcterms.isPartOf.ZSTitelID	Earth Science Informatics	de_DE
dcterms.isPartOf.ZS-Issue	Article 396	de_DE
dcterms.isPartOf.ZS-Volume	18 (2)	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE