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: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/28835 |
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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Definition of management zones in coffee production fields based on apparent soil electrical conductivityCoffea Arabica L.GeostatisticsFuzzy k-meansSoil sensorsFertilizer 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.Escola Superior de Agricultura "Luiz de Queiroz"2018-03-14T19:18:22Z2018-03-14T19:18:22Z2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfVALENTE, D. S. M. et al. Definition of management zones in coffee production fields based on apparent soil electrical conductivity. Scientia Agricola, Piracicaba, v. 69, n. 3, p. 173-179, May/June 2012.http://repositorio.ufla.br/jspui/handle/1/28835Scientia Agricolareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessValente, Domingos Sárvio MagalhãesQueiroz, Daniel Marçal dePinto, Francisco de Assis de CarvalhoSantos, Nerilson TerraSantos, Fábio Lúcioeng2018-03-14T19:18:46Zoai:localhost:1/28835Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2018-03-14T19:18:46Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)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 2018-03-14T19:18:22Z 2018-03-14T19:18:22Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
VALENTE, D. S. M. et al. Definition of management zones in coffee production fields based on apparent soil electrical conductivity. Scientia Agricola, Piracicaba, v. 69, n. 3, p. 173-179, May/June 2012. http://repositorio.ufla.br/jspui/handle/1/28835 |
identifier_str_mv |
VALENTE, D. S. M. et al. Definition of management zones in coffee production fields based on apparent soil electrical conductivity. Scientia Agricola, Piracicaba, v. 69, n. 3, p. 173-179, May/June 2012. |
url |
http://repositorio.ufla.br/jspui/handle/1/28835 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial 4.0 International http://creativecommons.org/licenses/by-nc/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial 4.0 International http://creativecommons.org/licenses/by-nc/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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 reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1807835066061029376 |