Definition of management zones in coffee production fields based on apparent soil electrical conductivity
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , |
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. |
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Scientia Agrícola (Online) |
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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 |