Influence geometric anisotropy in management zones delineation
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , , |
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 |