Definition of management zones in coffee production fields based on apparent soil electrical conductivity

Detalhes bibliográficos
Autor(a) principal: Valente, Domingos Sárvio Magalhães
Data de Publicação: 2012
Outros Autores: Queiroz, Daniel Marçal de, Pinto, Francisco de Assis de Carvalho, Santos, Nerilson Terra, Santos, Fábio Lúcio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/22763
Resumo: Fertilizer application at variable rates requires dense sampling to determine the resulting field spatial variability. Defining management zones is a technique that facilitates the variable-rate application of agricultural inputs. The apparent electrical conductivity of the soil is an important factor in explaining the variability of soil physical-chemical properties. Thus, the objective of this study was to define management zones for coffee (Coffea Arabica L.) production fields based on spatial variability of the apparent electrical conductivity of the soil. The resistivity method was used to measure the apparent soil electrical conductivity. Soil samples were collected to measure the chemical and physical soil properties. The maps of spatial variability were generated using ordinary kriging method. The fuzzy k-means algorithm was used to delimit the management zones. To analyze the agreement between the management zones and the soil properties, the kappa coefficients were calculated. The best results were obtained for the management zones defined using the apparent electrical conductivity of the soil and the digital elevation model. In this case, the kappa coefficient was 0.45 for potassium, which is an element that is associated with quality coffee. The other variable that had a high kappa coefficient was remaining phosphorous; the coefficient obtained was 0.49. The remaining phosphorus is an important parameter for determining which fertilizers and soil types to study.
id USP-18_dc5e668f2b303f81a0695a7adc10f466
oai_identifier_str oai:revistas.usp.br:article/22763
network_acronym_str USP-18
network_name_str Scientia Agrícola (Online)
repository_id_str
spelling Definition of management zones in coffee production fields based on apparent soil electrical conductivity Coffea Arabica L.geostatisticsfuzzy k-meanssoil sensors Fertilizer application at variable rates requires dense sampling to determine the resulting field spatial variability. Defining management zones is a technique that facilitates the variable-rate application of agricultural inputs. The apparent electrical conductivity of the soil is an important factor in explaining the variability of soil physical-chemical properties. Thus, the objective of this study was to define management zones for coffee (Coffea Arabica L.) production fields based on spatial variability of the apparent electrical conductivity of the soil. The resistivity method was used to measure the apparent soil electrical conductivity. Soil samples were collected to measure the chemical and physical soil properties. The maps of spatial variability were generated using ordinary kriging method. The fuzzy k-means algorithm was used to delimit the management zones. To analyze the agreement between the management zones and the soil properties, the kappa coefficients were calculated. The best results were obtained for the management zones defined using the apparent electrical conductivity of the soil and the digital elevation model. In this case, the kappa coefficient was 0.45 for potassium, which is an element that is associated with quality coffee. The other variable that had a high kappa coefficient was remaining phosphorous; the coefficient obtained was 0.49. The remaining phosphorus is an important parameter for determining which fertilizers and soil types to study. Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2012-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/2276310.1590/S0103-90162012000300001Scientia Agricola; v. 69 n. 3 (2012); 173-179Scientia Agricola; Vol. 69 Núm. 3 (2012); 173-179Scientia Agricola; Vol. 69 No. 3 (2012); 173-1791678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/22763/24787Copyright (c) 2015 Scientia Agricolainfo:eu-repo/semantics/openAccessValente, Domingos Sárvio MagalhãesQueiroz, Daniel Marçal dePinto, Francisco de Assis de CarvalhoSantos, Nerilson TerraSantos, Fábio Lúcio2015-07-07T19:14:58Zoai:revistas.usp.br:article/22763Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2015-07-07T19:14:58Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Definition of management zones in coffee production fields based on apparent soil electrical conductivity
title Definition of management zones in coffee production fields based on apparent soil electrical conductivity
spellingShingle Definition of management zones in coffee production fields based on apparent soil electrical conductivity
Valente, Domingos Sárvio Magalhães
Coffea Arabica L.
geostatistics
fuzzy k-means
soil sensors
title_short Definition of management zones in coffee production fields based on apparent soil electrical conductivity
title_full Definition of management zones in coffee production fields based on apparent soil electrical conductivity
title_fullStr Definition of management zones in coffee production fields based on apparent soil electrical conductivity
title_full_unstemmed Definition of management zones in coffee production fields based on apparent soil electrical conductivity
title_sort Definition of management zones in coffee production fields based on apparent soil electrical conductivity
author Valente, Domingos Sárvio Magalhães
author_facet Valente, Domingos Sárvio Magalhães
Queiroz, Daniel Marçal de
Pinto, Francisco de Assis de Carvalho
Santos, Nerilson Terra
Santos, Fábio Lúcio
author_role author
author2 Queiroz, Daniel Marçal de
Pinto, Francisco de Assis de Carvalho
Santos, Nerilson Terra
Santos, Fábio Lúcio
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Valente, Domingos Sárvio Magalhães
Queiroz, Daniel Marçal de
Pinto, Francisco de Assis de Carvalho
Santos, Nerilson Terra
Santos, Fábio Lúcio
dc.subject.por.fl_str_mv Coffea Arabica L.
geostatistics
fuzzy k-means
soil sensors
topic Coffea Arabica L.
geostatistics
fuzzy k-means
soil sensors
description Fertilizer application at variable rates requires dense sampling to determine the resulting field spatial variability. Defining management zones is a technique that facilitates the variable-rate application of agricultural inputs. The apparent electrical conductivity of the soil is an important factor in explaining the variability of soil physical-chemical properties. Thus, the objective of this study was to define management zones for coffee (Coffea Arabica L.) production fields based on spatial variability of the apparent electrical conductivity of the soil. The resistivity method was used to measure the apparent soil electrical conductivity. Soil samples were collected to measure the chemical and physical soil properties. The maps of spatial variability were generated using ordinary kriging method. The fuzzy k-means algorithm was used to delimit the management zones. To analyze the agreement between the management zones and the soil properties, the kappa coefficients were calculated. The best results were obtained for the management zones defined using the apparent electrical conductivity of the soil and the digital elevation model. In this case, the kappa coefficient was 0.45 for potassium, which is an element that is associated with quality coffee. The other variable that had a high kappa coefficient was remaining phosphorous; the coefficient obtained was 0.49. The remaining phosphorus is an important parameter for determining which fertilizers and soil types to study.
publishDate 2012
dc.date.none.fl_str_mv 2012-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/sa/article/view/22763
10.1590/S0103-90162012000300001
url https://www.revistas.usp.br/sa/article/view/22763
identifier_str_mv 10.1590/S0103-90162012000300001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/22763/24787
dc.rights.driver.fl_str_mv Copyright (c) 2015 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2015 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 69 n. 3 (2012); 173-179
Scientia Agricola; Vol. 69 Núm. 3 (2012); 173-179
Scientia Agricola; Vol. 69 No. 3 (2012); 173-179
1678-992X
0103-9016
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_ 1800222791589429248