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dc.contributor.authorVASQUES, G. M.
dc.contributor.authorRODRIGUES, H.
dc.contributor.authorOLIVEIRA, R. P. de
dc.contributor.authorCEDDIA, M. B.
dc.contributor.authorHERNANI, L. C.
dc.contributor.authorTAVARES, S. R. de L.
dc.date.accessioned2025-02-11T13:47:00Z-
dc.date.available2025-02-11T13:47:00Z-
dc.date.created2025-02-11
dc.date.issued2024
dc.identifier.citationIn: CENTENNIAL CELEBRATION AND CONGRESS OF THE INTERNATIONAL UNION OF SOIL SCIENCES, 2024, Florence. Abstract book. Florence: AIM Group International, 2024. ID ABS WEB: 138331.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1172608-
dc.descriptionThe objective was to integrate soil data from two proximal soil sensors to improve the delineation of homogeneous soil regions using a k-means clustering algorithm defining three distinct management zones in an irrigation pivot with 72 ha in Itaí, São Paulo, Brazil.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectManagement zones
dc.subjectProximal soil sensors
dc.titleGuided soil sampling using soil management zones and proximal soil sensors to improve cost-benefit ratio of fertilizer recommendations.
dc.typeResumo em anais e proceedings
dc.subject.thesagroAgricultura de Precisão
dc.subject.thesagroSensoriamento Remoto
dc.subject.nalthesaurusPrecision agriculture
dc.subject.nalthesaurusRemote sensing
dc.subject.nalthesaurusSoil sampling
riaa.ainfo.id1172608
riaa.ainfo.lastupdate2025-02-11
dc.contributor.institutionGUSTAVO DE MATTOS VASQUES, CNPS
dc.contributor.institutionHUGO RODRIGUES, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIROeng
dc.contributor.institutionRONALDO PEREIRA DE OLIVEIRA, CNPSeng
dc.contributor.institutionMARCOS BACIS CEDDIA, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIROeng
dc.contributor.institutionLUIS CARLOS HERNANI, CNPSeng
dc.contributor.institutionSILVIO ROBERTO DE LUCENA TAVARES, CNPS.eng
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