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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/6150
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dc.contributor.authorde Cerqueira, D. T. R.-
dc.contributor.authorRaetano, C. G.-
dc.contributor.authorHenrique, M.-
dc.contributor.authordo Amaral Dal Pogetto, F.-
dc.contributor.authorPrado, E. P.-
dc.contributor.authorChristovam, R. S.-
dc.contributor.authorSerra, M. E.-
dc.contributor.authorAlmeida Costa, S. I.-
dc.date.accessioned2014-05-20T13:21:24Z-
dc.date.available2014-05-20T13:21:24Z-
dc.date.issued2012-11-01-
dc.identifierhttp://elibrary.asabe.org/abstract.asp?aid=42474&t=3&dabs=Y&redir=&redirType=-
dc.identifier.citationApplied Engineering In Agriculture. St Joseph: Amer Soc Agricultural & Biological Engineers, v. 28, n. 6, p. 825-831, 2012.-
dc.identifier.issn0883-8542-
dc.identifier.urihttp://hdl.handle.net/11449/6150-
dc.description.abstractSpray deposit evaluations have been used in research as a tool to develop and improve pesticide application techniques. Lab tests were conducted to compare methods for deposit quantification using different tracers (Brilliant Blue food dye, copper and sodium ions, Rhodamine B, and tebuconazole) on different targets. The artificial targets, were more efficient in recovering the spray deposits, except when capturing Brilliant Blue dye. The copper tracer (Cobox (R)) and the fungicide gave us better results on artificial and natural targets. The results have also shown a good suitability for the use of Brilliant Blue, particularly on natural targets. The selection and reliability of quantitative analysis methods for spray deposits were dependent on the target nature (natural or artificial), tracer substance, and target-tracer interaction.en
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
dc.format.extent825-831-
dc.language.isoeng-
dc.publisherAmer Soc Agricultural & Biological Engineers-
dc.sourceWeb of Science-
dc.subjectApplication technologyen
dc.subjectTraceren
dc.subjectTargeten
dc.titleAGRICULTURAL SPRAY DEPOSIT QUANTIFICATION METHODSen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationSão Paulo State Univ, Dept Plant Protect, Fac Agron Sci, BR-18610307 Botucatu, SP, Brazil-
dc.description.affiliationUnespSão Paulo State Univ, Dept Plant Protect, Fac Agron Sci, BR-18610307 Botucatu, SP, Brazil-
dc.identifier.wosWOS:000313757800006-
dc.rights.accessRightsAcesso restrito-
dc.identifier.fileWOS000313757800006.pdf-
dc.relation.ispartofApplied Engineering In Agriculture-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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