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Bio-Inspired Hybridization of Artificial Neural Networks: An Application for Mapping the Spatial Distribution of Soil Texture Fractions

dc.contributor.authorTaghizadeh-Mehrjardi, Ruhollah
dc.contributor.authorEmadi, Mostafa
dc.contributor.authorCherati, Ali
dc.contributor.authorHeung, Brandon
dc.contributor.authorMosavi, Amir
dc.contributor.authorScholten, Thomas
dc.date.accessioned2021-11-30T12:34:08Z
dc.date.available2021-11-30T12:34:08Z
dc.date.created2021-03-08T16:32:52Z
dc.date.issued2021
dc.identifier.citationRemote Sensing. 2021; 13(5):1025en_US
dc.identifier.issn2072-4292
dc.identifier.urihttps://hdl.handle.net/11250/2832100
dc.language.isoengen_US
dc.titleBio-Inspired Hybridization of Artificial Neural Networks: An Application for Mapping the Spatial Distribution of Soil Texture Fractionsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersion
dc.source.journalRemote Sensingen_US
dc.identifier.doi10.3390/rs13051025
dc.identifier.cristin1896457
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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