Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran

dc.contributor.author	Taghizadeh-Mehrjardi, Ruhollah
dc.contributor.author	Behrens, Thorsten
dc.contributor.author	Scholten, Thomas
dc.contributor.author	Schmidt, Karsten
dc.date.accessioned	2020-12-09T14:16:13Z
dc.date.available	2020-12-09T14:16:13Z
dc.date.issued	2020
dc.identifier.issn	1872-6259
dc.identifier.uri	http://hdl.handle.net/10900/110467
dc.language.iso	en	de_DE
dc.publisher	Elsevier	de_DE
dc.relation.uri	http://dx.doi.org/10.1016/j.geoderma.2020.114552	de_DE
dc.subject.ddc	550	de_DE
dc.title	Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran	de_DE
dc.type	Article	de_DE
utue.quellen.id	20200929220116_00014
utue.personen.roh	Taghizadeh-Mehrjardi, R.
utue.personen.roh	Mahdianpari, M.
utue.personen.roh	Mohammadimanesh, F.
utue.personen.roh	Behrens, T.
utue.personen.roh	Toomanian, N.
utue.personen.roh	Scholten, T.
utue.personen.roh	Schmidt, K.
dcterms.isPartOf.ZSTitelID	Geoderma	de_DE
dcterms.isPartOf.ZS-Issue	Article 114552	de_DE
dcterms.isPartOf.ZS-Volume	376	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE