Influence geometric anisotropy in management zones delineation

Detalhes bibliográficos
Autor(a) principal: Barbosa,Danilo Pereira
Data de Publicação: 2019
Outros Autores: Bottega,Eduardo Leonel, Valente,Domingos Sárvio Magalhães, Santos,Nerilson Terra, Guimarães,Wellington Donizete, Ferreira,Matheus de Paula
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000400543
Resumo: ABSTRACT The proper handling soil allows the reduction of contaminants, maximize agricultural productivity, and is directly related the knowledge spatial variability of soil attributes. This spatial variability can express isotropic and anisotropic form. The latter being neglected in research related to management zones delineation. In this context, the present study aimed to evaluate the effect of the geometric anisotropy correction on the management zone delineation. The methodology was applied under database of soybean productivity and apparent electrical conductivity (CEa) of a rural property in Ponta Porã - MS. By means of this georeferenced database, maps was interpolated with ordinary kriging. For each combination, attribute (productivity and CEa) and number of classes, were produced two maps management zones, one without and one with anisotropy correction, the same were compared through the kappa index, with significance tested by the Z-test. The management zones number was also evaluated by Fuzziness Performance Index (FPI) and the Modified Partition Entropy (MPE). The area subdivision in two management zones, without and with anisotropy correction, presented higher Kappa index, with values of 0.89 and 0.91 respectively, but not presented significant differences with each other.
id UFC-2_3e862be9f90f9f32172959adaef161aa
oai_identifier_str oai:scielo:S1806-66902019000400543
network_acronym_str UFC-2
network_name_str Revista ciência agronômica (Online)
repository_id_str
spelling Influence geometric anisotropy in management zones delineationGeostatisticsAnisotropy factorSpatial variabilityApparent electrical conductivitySoybeanABSTRACT The proper handling soil allows the reduction of contaminants, maximize agricultural productivity, and is directly related the knowledge spatial variability of soil attributes. This spatial variability can express isotropic and anisotropic form. The latter being neglected in research related to management zones delineation. In this context, the present study aimed to evaluate the effect of the geometric anisotropy correction on the management zone delineation. The methodology was applied under database of soybean productivity and apparent electrical conductivity (CEa) of a rural property in Ponta Porã - MS. By means of this georeferenced database, maps was interpolated with ordinary kriging. For each combination, attribute (productivity and CEa) and number of classes, were produced two maps management zones, one without and one with anisotropy correction, the same were compared through the kappa index, with significance tested by the Z-test. The management zones number was also evaluated by Fuzziness Performance Index (FPI) and the Modified Partition Entropy (MPE). The area subdivision in two management zones, without and with anisotropy correction, presented higher Kappa index, with values of 0.89 and 0.91 respectively, but not presented significant differences with each other.Universidade Federal do Ceará2019-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000400543Revista Ciência Agronômica v.50 n.4 2019reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20190064info:eu-repo/semantics/openAccessBarbosa,Danilo PereiraBottega,Eduardo LeonelValente,Domingos Sárvio MagalhãesSantos,Nerilson TerraGuimarães,Wellington DonizeteFerreira,Matheus de Paulaeng2019-10-30T00:00:00Zoai:scielo:S1806-66902019000400543Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2019-10-30T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Influence geometric anisotropy in management zones delineation
title Influence geometric anisotropy in management zones delineation
spellingShingle Influence geometric anisotropy in management zones delineation
Barbosa,Danilo Pereira
Geostatistics
Anisotropy factor
Spatial variability
Apparent electrical conductivity
Soybean
title_short Influence geometric anisotropy in management zones delineation
title_full Influence geometric anisotropy in management zones delineation
title_fullStr Influence geometric anisotropy in management zones delineation
title_full_unstemmed Influence geometric anisotropy in management zones delineation
title_sort Influence geometric anisotropy in management zones delineation
author Barbosa,Danilo Pereira
author_facet Barbosa,Danilo Pereira
Bottega,Eduardo Leonel
Valente,Domingos Sárvio Magalhães
Santos,Nerilson Terra
Guimarães,Wellington Donizete
Ferreira,Matheus de Paula
author_role author
author2 Bottega,Eduardo Leonel
Valente,Domingos Sárvio Magalhães
Santos,Nerilson Terra
Guimarães,Wellington Donizete
Ferreira,Matheus de Paula
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Barbosa,Danilo Pereira
Bottega,Eduardo Leonel
Valente,Domingos Sárvio Magalhães
Santos,Nerilson Terra
Guimarães,Wellington Donizete
Ferreira,Matheus de Paula
dc.subject.por.fl_str_mv Geostatistics
Anisotropy factor
Spatial variability
Apparent electrical conductivity
Soybean
topic Geostatistics
Anisotropy factor
Spatial variability
Apparent electrical conductivity
Soybean
description ABSTRACT The proper handling soil allows the reduction of contaminants, maximize agricultural productivity, and is directly related the knowledge spatial variability of soil attributes. This spatial variability can express isotropic and anisotropic form. The latter being neglected in research related to management zones delineation. In this context, the present study aimed to evaluate the effect of the geometric anisotropy correction on the management zone delineation. The methodology was applied under database of soybean productivity and apparent electrical conductivity (CEa) of a rural property in Ponta Porã - MS. By means of this georeferenced database, maps was interpolated with ordinary kriging. For each combination, attribute (productivity and CEa) and number of classes, were produced two maps management zones, one without and one with anisotropy correction, the same were compared through the kappa index, with significance tested by the Z-test. The management zones number was also evaluated by Fuzziness Performance Index (FPI) and the Modified Partition Entropy (MPE). The area subdivision in two management zones, without and with anisotropy correction, presented higher Kappa index, with values of 0.89 and 0.91 respectively, but not presented significant differences with each other.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000400543
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000400543
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20190064
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.50 n.4 2019
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
_version_ 1750297489477468160