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Prediction of sunflower grain yield under normal and salinity stress by RBF, MLP and, CNN models

 
dc.contributor.authorKhalifani, Sanaz
dc.contributor.authorDarvishzadeh, Reza
dc.contributor.authorAzad, Nasrin
dc.contributor.authorSeyed Rahmani, Razgar
dc.contributor.imecauthorSeyed Rahmani, Razgar
dc.contributor.orcidimecSeyed Rahmani, Razgar::0000-0002-6821-4537
dc.date.accessioned2023-05-25T13:39:44Z
dc.date.available2023-02-16T03:20:23Z
dc.date.available2023-05-25T13:39:44Z
dc.date.issued2022
dc.identifier.doi10.1016/j.indcrop.2022.115762
dc.identifier.issn0926-6690
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41112
dc.publisherELSEVIER
dc.source.beginpageArt. 115762
dc.source.endpagena
dc.source.issueDecember
dc.source.journalINDUSTRIAL CROPS AND PRODUCTS
dc.source.numberofpages11
dc.source.volume189
dc.subject.keywordsARTIFICIAL NEURAL-NETWORKS
dc.subject.keywordsPATH-COEFFICIENT ANALYSIS
dc.subject.keywordsHELIANTHUS-ANNUUS L.
dc.subject.keywordsSEED YIELD
dc.subject.keywordsGENE-EXPRESSION
dc.subject.keywordsWHEAT
dc.subject.keywordsCOMPONENTS
dc.subject.keywordsDROUGHT
dc.subject.keywordsQUALITY
dc.subject.keywordsINPUTS
dc.title

Prediction of sunflower grain yield under normal and salinity stress by RBF, MLP and, CNN models

dc.typeJournal article
dspace.entity.typePublication
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