Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1069360
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dc.contributor.authorSTERZO, M. S.
dc.contributor.authorCRUVINEL, P. E.
dc.date.accessioned2017-11-07T23:24:26Z-
dc.date.available2017-11-07T23:24:26Z-
dc.date.created2017-05-08
dc.date.issued2017
dc.identifier.citationIn: INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING-ICSC, 11., 2017. p. 452-458.
dc.identifier.isbn978-1-5090-4284-5pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1069360-
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectWeed
dc.subjectGenetic algorithm
dc.subjectEstimation of parameters
dc.titleParameter estimation of a demand forecasting function associated with behavior of weed using genetic algorithm.
dc.typeArtigo em anais e proceedings
dc.date.updated2018-06-26T11:11:11Zpt_BR
riaa.ainfo.id1069360
riaa.ainfo.lastupdate2018-06-26 -03:00:00
dc.identifier.doi10.1109/ICSC.2017.43
dc.contributor.institutionPAULO ESTEVAO CRUVINEL, CNPDIA.
Appears in Collections:Artigo em anais de congresso (CNPDIA)

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