Management zones definition using soil chemical and physical attributes in a soybean area

Detalhes bibliográficos
Autor(a) principal: Bazzi,Claudio L.
Data de Publicação: 2013
Outros Autores: Souza,Eduardo G., Uribe-Opazo,Miguel A., Nóbrega,Lúcia H. P., Rocha,Davi M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000500007
Resumo: Several equipments and methodologies have been developed to make available precision agriculture, especially considering the high cost of its implantation and sampling. An interesting possibility is to define management zones aim at dividing producing areas in smaller management zones that could be treated differently, serving as a source of recommendation and analysis. Thus, this trial used physical and chemical properties of soil and yield aiming at the generation of management zones in order to identify whether they can be used as recommendation and analysis. Management zones were generated by the Fuzzy C-Means algorithm and their evaluation was performed by calculating the reduction of variance and performing means tests. The division of the area into two management zones was considered appropriate for the present distinct averages of most soil properties and yield. The used methodology allowed the generation of management zones that can serve as source of recommendation and soil analysis; despite the relative efficiency has shown a reduced variance for all attributes in divisions in the three sub-regions, the ANOVA did not show significative differences among the management zones.
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spelling Management zones definition using soil chemical and physical attributes in a soybean areaPrecision agriculturespatial variabilityfuzzy clusteringmanagement zonesautocorrelationcross-correlationSeveral equipments and methodologies have been developed to make available precision agriculture, especially considering the high cost of its implantation and sampling. An interesting possibility is to define management zones aim at dividing producing areas in smaller management zones that could be treated differently, serving as a source of recommendation and analysis. Thus, this trial used physical and chemical properties of soil and yield aiming at the generation of management zones in order to identify whether they can be used as recommendation and analysis. Management zones were generated by the Fuzzy C-Means algorithm and their evaluation was performed by calculating the reduction of variance and performing means tests. The division of the area into two management zones was considered appropriate for the present distinct averages of most soil properties and yield. The used methodology allowed the generation of management zones that can serve as source of recommendation and soil analysis; despite the relative efficiency has shown a reduced variance for all attributes in divisions in the three sub-regions, the ANOVA did not show significative differences among the management zones.Associação Brasileira de Engenharia Agrícola2013-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000500007Engenharia Agrícola v.33 n.5 2013reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/S0100-69162013000500007info:eu-repo/semantics/openAccessBazzi,Claudio L.Souza,Eduardo G.Uribe-Opazo,Miguel A.Nóbrega,Lúcia H. P.Rocha,Davi M.eng2013-11-21T00:00:00Zoai:scielo:S0100-69162013000500007Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2013-11-21T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false
dc.title.none.fl_str_mv Management zones definition using soil chemical and physical attributes in a soybean area
title Management zones definition using soil chemical and physical attributes in a soybean area
spellingShingle Management zones definition using soil chemical and physical attributes in a soybean area
Bazzi,Claudio L.
Precision agriculture
spatial variability
fuzzy clustering
management zones
autocorrelation
cross-correlation
title_short Management zones definition using soil chemical and physical attributes in a soybean area
title_full Management zones definition using soil chemical and physical attributes in a soybean area
title_fullStr Management zones definition using soil chemical and physical attributes in a soybean area
title_full_unstemmed Management zones definition using soil chemical and physical attributes in a soybean area
title_sort Management zones definition using soil chemical and physical attributes in a soybean area
author Bazzi,Claudio L.
author_facet Bazzi,Claudio L.
Souza,Eduardo G.
Uribe-Opazo,Miguel A.
Nóbrega,Lúcia H. P.
Rocha,Davi M.
author_role author
author2 Souza,Eduardo G.
Uribe-Opazo,Miguel A.
Nóbrega,Lúcia H. P.
Rocha,Davi M.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Bazzi,Claudio L.
Souza,Eduardo G.
Uribe-Opazo,Miguel A.
Nóbrega,Lúcia H. P.
Rocha,Davi M.
dc.subject.por.fl_str_mv Precision agriculture
spatial variability
fuzzy clustering
management zones
autocorrelation
cross-correlation
topic Precision agriculture
spatial variability
fuzzy clustering
management zones
autocorrelation
cross-correlation
description Several equipments and methodologies have been developed to make available precision agriculture, especially considering the high cost of its implantation and sampling. An interesting possibility is to define management zones aim at dividing producing areas in smaller management zones that could be treated differently, serving as a source of recommendation and analysis. Thus, this trial used physical and chemical properties of soil and yield aiming at the generation of management zones in order to identify whether they can be used as recommendation and analysis. Management zones were generated by the Fuzzy C-Means algorithm and their evaluation was performed by calculating the reduction of variance and performing means tests. The division of the area into two management zones was considered appropriate for the present distinct averages of most soil properties and yield. The used methodology allowed the generation of management zones that can serve as source of recommendation and soil analysis; despite the relative efficiency has shown a reduced variance for all attributes in divisions in the three sub-regions, the ANOVA did not show significative differences among the management zones.
publishDate 2013
dc.date.none.fl_str_mv 2013-10-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000500007
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000500007
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0100-69162013000500007
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 Associação Brasileira de Engenharia Agrícola
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
dc.source.none.fl_str_mv Engenharia Agrícola v.33 n.5 2013
reponame:Engenharia Agrícola
instname:Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
instname_str Associação Brasileira de Engenharia Agrícola (SBEA)
instacron_str SBEA
institution SBEA
reponame_str Engenharia Agrícola
collection Engenharia Agrícola
repository.name.fl_str_mv Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)
repository.mail.fl_str_mv revistasbea@sbea.org.br||sbea@sbea.org.br
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