Establishing management zones using soil electrical conductivity and other soil properties by the fuzzy clustering technique
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Scientia Agrícola (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162008000600001 |
Resumo: | The design of site-specific management zones that can successfully define uniform regions of soil fertility attributes that are of importance to crop growth is one of the most challenging steps in precision agriculture. One important method of so proceeding is based solely on crop yield stability using information from yield maps; however, it is possible to accomplish this using soil information. In this study the soil was sampled for electrical conductivity and eleven other soil properties, aiming to define uniform site-specific management zones in relation to these variables. Principal component analysis was used to group variables and fuzzy logic classification was used for clustering the transformed variables. The importance of electrical conductivity in this process was evaluated based on its correlation with soil fertility and physical attributes. The results confirmed the utility of electrical conductivity in the definition of management zones and the feasibility of the proposed method. |
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Scientia Agrícola (Online) |
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Establishing management zones using soil electrical conductivity and other soil properties by the fuzzy clustering techniqueprecision agriculturesoil physical propertiesfuzzinessThe design of site-specific management zones that can successfully define uniform regions of soil fertility attributes that are of importance to crop growth is one of the most challenging steps in precision agriculture. One important method of so proceeding is based solely on crop yield stability using information from yield maps; however, it is possible to accomplish this using soil information. In this study the soil was sampled for electrical conductivity and eleven other soil properties, aiming to define uniform site-specific management zones in relation to these variables. Principal component analysis was used to group variables and fuzzy logic classification was used for clustering the transformed variables. The importance of electrical conductivity in this process was evaluated based on its correlation with soil fertility and physical attributes. The results confirmed the utility of electrical conductivity in the definition of management zones and the feasibility of the proposed method.Escola Superior de Agricultura "Luiz de Queiroz"2008-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162008000600001Scientia Agricola v.65 n.6 2008reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90162008000600001info:eu-repo/semantics/openAccessMolin,José PauloCastro,Cesar Nunes deeng2008-11-12T00:00:00Zoai:scielo:S0103-90162008000600001Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2008-11-12T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Establishing management zones using soil electrical conductivity and other soil properties by the fuzzy clustering technique |
title |
Establishing management zones using soil electrical conductivity and other soil properties by the fuzzy clustering technique |
spellingShingle |
Establishing management zones using soil electrical conductivity and other soil properties by the fuzzy clustering technique Molin,José Paulo precision agriculture soil physical properties fuzziness |
title_short |
Establishing management zones using soil electrical conductivity and other soil properties by the fuzzy clustering technique |
title_full |
Establishing management zones using soil electrical conductivity and other soil properties by the fuzzy clustering technique |
title_fullStr |
Establishing management zones using soil electrical conductivity and other soil properties by the fuzzy clustering technique |
title_full_unstemmed |
Establishing management zones using soil electrical conductivity and other soil properties by the fuzzy clustering technique |
title_sort |
Establishing management zones using soil electrical conductivity and other soil properties by the fuzzy clustering technique |
author |
Molin,José Paulo |
author_facet |
Molin,José Paulo Castro,Cesar Nunes de |
author_role |
author |
author2 |
Castro,Cesar Nunes de |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Molin,José Paulo Castro,Cesar Nunes de |
dc.subject.por.fl_str_mv |
precision agriculture soil physical properties fuzziness |
topic |
precision agriculture soil physical properties fuzziness |
description |
The design of site-specific management zones that can successfully define uniform regions of soil fertility attributes that are of importance to crop growth is one of the most challenging steps in precision agriculture. One important method of so proceeding is based solely on crop yield stability using information from yield maps; however, it is possible to accomplish this using soil information. In this study the soil was sampled for electrical conductivity and eleven other soil properties, aiming to define uniform site-specific management zones in relation to these variables. Principal component analysis was used to group variables and fuzzy logic classification was used for clustering the transformed variables. The importance of electrical conductivity in this process was evaluated based on its correlation with soil fertility and physical attributes. The results confirmed the utility of electrical conductivity in the definition of management zones and the feasibility of the proposed method. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-12-01 |
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=S0103-90162008000600001 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162008000600001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0103-90162008000600001 |
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 |
Escola Superior de Agricultura "Luiz de Queiroz" |
publisher.none.fl_str_mv |
Escola Superior de Agricultura "Luiz de Queiroz" |
dc.source.none.fl_str_mv |
Scientia Agricola v.65 n.6 2008 reponame:Scientia Agrícola (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Scientia Agrícola (Online) |
collection |
Scientia Agrícola (Online) |
repository.name.fl_str_mv |
Scientia Agrícola (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
scientia@usp.br||alleoni@usp.br |
_version_ |
1748936461048086528 |