50 anos da UNESP
Logotipo do repositório

ARTIFICIAL NEURAL NETWORKS APPLIED TO THE MARANDU GRASS PRODUCTION ESTIMATE IN INTEGRATED SYSTEMS

Página do item simplificado
dc.contributor.authorNeto, Alfredo Bonini [UNESP]
dc.contributor.authorCriscimani, Arthur Lopes [UNESP]
dc.contributor.authorBonini, Carolina Dos Santos Batista [UNESP]
dc.contributor.authorSouza, Jessica Fernanda Dias [UNESP]
dc.contributor.authorOliverio, Gabriela Lozano [UNESP]
dc.contributor.authorBaretto, Vitor Correia de Mattos [UNESP]
dc.contributor.authorAndrighetto, Cristiana [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2025-04-29T18:36:23Z
dc.date.issued2021-08-31
dc.description.abstractThrough the MatLab software's tools, in this work a graphic interface was developed to estimate the marandu grass using artificial neural networks and the graphic properties provided by the software, aiming, on top of the assertiveness and efficiency of the estimate, the development of the interface in a way in which lay people (regarding the subject and coding), have access to the designed tool, valuing already studied User Experience concepts and being able, this way, to be used in teaching areas related to neural networks, broading the access to information through the man-machine interface.en
dc.description.affiliationUniversidade Estadual Paulista FCE, SP
dc.description.affiliationUniversidade Estadual Paulista FCAT, SP
dc.description.affiliationUnespUniversidade Estadual Paulista FCE, SP
dc.description.affiliationUnespUniversidade Estadual Paulista FCAT, SP
dc.format.extent318-341
dc.identifierhttp://dx.doi.org/10.18011/bioeng2021v15n2p318-341
dc.identifier.citationBrazilian Journal of Biosystems Engineering, v. 15, n. 2, p. 318-341, 2021.
dc.identifier.dimensionspub.1141863286
dc.identifier.doi10.18011/bioeng2021v15n2p318-341
dc.identifier.issn2359-6724
dc.identifier.issn1981-7061
dc.identifier.orcid0000-0002-1331-1153
dc.identifier.orcid0000-0002-0250-489X
dc.identifier.orcid0000-0002-6482-3263
dc.identifier.orcid0000-0002-1815-7212
dc.identifier.orcid0000-0001-9127-7125
dc.identifier.orcid0000-0001-6543-9696
dc.identifier.scopus2-s2.0-85199302748
dc.identifier.urihttps://hdl.handle.net/11449/298184
dc.language.isopor
dc.publisherUniversidade Estadual Paulista - Campus de Tupa
dc.relation.ispartofBrazilian Journal of Biosystems Engineering
dc.rights.accessRightsAcesso abertopt
dc.rights.sourceRightsoa_all
dc.rights.sourceRightsgold
dc.sourceScopus
dc.sourceDimensions
dc.subjectForage production
dc.subjectInteligência artificial
dc.subjectMatLab
dc.subjectPrevision
dc.subjectUser Experience
dc.titleARTIFICIAL NEURAL NETWORKS APPLIED TO THE MARANDU GRASS PRODUCTION ESTIMATE IN INTEGRATED SYSTEMSen
dc.titleREDES NEURALES ARTIFICIALES APLICADAS AL ESTIMADO DE PRODUCCIÓN DE HIERBA MARANDU EN SISTEMAS INTEGRADOSes
dc.titleREDES NEURAIS ARTIFICIAIS APLICADO À ESTIMATIVA DE PRODUÇÃO DE CAPIM MARANDU EM SISTEMAS INTEGRADOSpt
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublication645fc506-d696-4eff-bf29-45e82e484198
relation.isOrgUnitOfPublicationed8e45ed-21f1-4733-b776-6c9e8c3a0da8
relation.isOrgUnitOfPublication.latestForDiscovery645fc506-d696-4eff-bf29-45e82e484198
unesp.author.orcid0000-0002-0250-489X[1]
unesp.author.orcid0000-0002-1331-1153[2]
unesp.author.orcid0000-0002-6482-3263[3]
unesp.author.orcid0000-0002-1815-7212[4]
unesp.author.orcid0000-0001-9127-7125[5]
unesp.author.orcid0000-0002-9332-1094[6]
unesp.author.orcid0000-0001-6543-9696[7]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências e Engenharia, Tupãpt
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Tecnológicas, Dracenapt

Arquivos

Coleções

Tupã - FCE - Faculdade de Ciências e Engenharia
Dracena - FCAT - Faculdade de Ciências Agrárias e Tecnológicas