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dc.contributor.authorRODRIGUES, N.
dc.contributor.authorRODRIGUES, H.
dc.contributor.authorMANCINI, M.
dc.contributor.authorPINHEIRO, H.
dc.contributor.authorCARVALHO JUNIOR, W. de
dc.contributor.authorLIBOHOVA, Z.
dc.contributor.authorOWENS, P.
dc.date.accessioned2025-02-11T14:47:21Z-
dc.date.available2025-02-11T14:47:21Z-
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: 137782.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1172615-
dc.descriptionThe goal was to study the laterization process undergoing on a rare siderite carbonatite parent material by assessing the spatial distribution of Fe2O3, Nb, TiO2, and W using machine learning.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectPedogenesis
dc.subjectLaterite
dc.subjectPoorly-accessible areas
dc.subjectPedometrics
dc.subjectMachine learning
dc.titleSpatial distribution of elements in lateritic soils from a rare siderite carbonatite formation in the Brazilian Amazon using remotely sensed data and topographic attributes.
dc.typeResumo em anais e proceedings
riaa.ainfo.id1172615
riaa.ainfo.lastupdate2025-02-11
dc.contributor.institutionN. RODRIGUES, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; HUGO RODRIGUES, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; MARCELO MANCINI, UNIVERSIDADE FEDERAL DE LAVRAS; HELENA PINHEIRO, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; WALDIR DE CARVALHO JUNIOR, CNPS; ZAMIR LIBOHOVA, USDA; PHILLIP OWENS, USDA.
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