Precision agriculture to study soil chemical properties and the yield of a coffee field

Detalhes bibliográficos
Autor(a) principal: Ferraz, Gabriel Araújo e Silva
Data de Publicação: 2012
Outros Autores: Silva, Fábio Moreira da, Costa, Pedro Augusto Negrini da, Silva, Antônio Carlos, Carvalho, Francisval de Melo
Tipo de documento: Artigo
Idioma: por
Título da fonte: Coffee Science (Online)
Texto Completo: https://coffeescience.ufla.br/index.php/Coffeescience/article/view/204
Resumo: Precision agriculture appears as an important tool in the management of coffee farms where the knowledge of some soil fertility characteristics associated with the coffee production could help in specific application of fertilizers with positive environmental and economic results. So the aim of this article was to use precision agriculture and geoestatistics to evaluate the availability of phosphorus, potassium and yield of the coffee plant by evaluating the semivariogram and kriging maps and show that these tools are important for coffee management. This study was conducted on the Brejão farm in Três Pontas, Minas Gerais state, Brazil. As a data base we used soil chemical property data obtained by sampling in a georreferenced location using a quadricycle with a sampler and a GPS, and the yield data was obtained from manual harvest on the georreferenced location. The analysis of these data by using statistics and geostatistics tools allowed to characterize the spatial variability of the phosphorus, potassium, and the coffee yield, and allowed to analyze the relation among these variables. It was possible to observe that spatial dependence exists so it is possible to create maps of spatial distribution of the variables.
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spelling Precision agriculture to study soil chemical properties and the yield of a coffee fieldAgricultura de precisão no estudo de atributos químicos do solo e da produtividade de lavoura cafeeiraGeostatisticSpatial variabilityKrigingSemivariogramcoffee plantGeoestatísticaVariabilidade espacialKrigagemSemivariogramacafeeiroPrecision agriculture appears as an important tool in the management of coffee farms where the knowledge of some soil fertility characteristics associated with the coffee production could help in specific application of fertilizers with positive environmental and economic results. So the aim of this article was to use precision agriculture and geoestatistics to evaluate the availability of phosphorus, potassium and yield of the coffee plant by evaluating the semivariogram and kriging maps and show that these tools are important for coffee management. This study was conducted on the Brejão farm in Três Pontas, Minas Gerais state, Brazil. As a data base we used soil chemical property data obtained by sampling in a georreferenced location using a quadricycle with a sampler and a GPS, and the yield data was obtained from manual harvest on the georreferenced location. The analysis of these data by using statistics and geostatistics tools allowed to characterize the spatial variability of the phosphorus, potassium, and the coffee yield, and allowed to analyze the relation among these variables. It was possible to observe that spatial dependence exists so it is possible to create maps of spatial distribution of the variables.A agricultura de precisão surge como uma importante ferramenta para melhorar o gerenciamento de fazendas cafeeiras. O conhecimento de determinadas características relacionadas à fertilidade do solo, associada à resposta de produção do cafeeiro, podem facilitar a aplicação localizada e racional dos insumos, com resultados ambientais e econômicos positivos. Objetivou-se, com esse trabalho, utilizar ferramentas de agricultura de precisão e de geoestatística para avaliar a disponibilidade de fósforo, potássio e a produtividade do cafeeiro por meio de análises dos semivariogramas e de mapas de isolinhas, obtidos por krigagem, com o intuito de demonstrar que essas ferramentas são de grande valia para o manejo da fertilidade do solo na cultura do café. Este trabalho foi conduzido na fazenda Brejão, no município de Três Pontas, Minas Gerais, utilizando-se os atributos químicos do solo-fósforo e potássio amostrados com o auxílio de um quadriciclo equipado com calador e dados de produtividade obtidos por meio de colheita manual, ambos em pontos georreferenciados. A análise desses dados por meio das técnicas estatísticas e geoestatísticas possibilitaram caracterizar a variabilidade espacial do fósforo, potássio e da produtividade de uma lavoura cafeeira, permitindo-se a análise da relação entre essas variáveis. Foi possível observar que houve dependência espacial o que permitiu a confecção de mapas de distribuição espacial das variáveis.Editora UFLA2012-06-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/204Coffee Science - ISSN 1984-3909; Vol. 7 No. 1 (2012); 59-67Coffee Science; Vol. 7 Núm. 1 (2012); 59-67Coffee Science; v. 7 n. 1 (2012); 59-671984-3909reponame:Coffee Science (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/204/pdfCopyright (c) 2012 Coffee Science - ISSN 1984-3909https://creativecommons.org/info:eu-repo/semantics/openAccessFerraz, Gabriel Araújo e SilvaSilva, Fábio Moreira daCosta, Pedro Augusto Negrini daSilva, Antônio CarlosCarvalho, Francisval de Melo2013-02-24T13:03:06Zoai:coffeescience.ufla.br:article/204Revistahttps://coffeescience.ufla.br/index.php/CoffeesciencePUBhttps://coffeescience.ufla.br/index.php/Coffeescience/oaicoffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com1984-39091809-6875opendoar:2024-05-21T19:53:34.269550Coffee Science (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Precision agriculture to study soil chemical properties and the yield of a coffee field
Agricultura de precisão no estudo de atributos químicos do solo e da produtividade de lavoura cafeeira
title Precision agriculture to study soil chemical properties and the yield of a coffee field
spellingShingle Precision agriculture to study soil chemical properties and the yield of a coffee field
Ferraz, Gabriel Araújo e Silva
Geostatistic
Spatial variability
Kriging
Semivariogram
coffee plant
Geoestatística
Variabilidade espacial
Krigagem
Semivariograma
cafeeiro
title_short Precision agriculture to study soil chemical properties and the yield of a coffee field
title_full Precision agriculture to study soil chemical properties and the yield of a coffee field
title_fullStr Precision agriculture to study soil chemical properties and the yield of a coffee field
title_full_unstemmed Precision agriculture to study soil chemical properties and the yield of a coffee field
title_sort Precision agriculture to study soil chemical properties and the yield of a coffee field
author Ferraz, Gabriel Araújo e Silva
author_facet Ferraz, Gabriel Araújo e Silva
Silva, Fábio Moreira da
Costa, Pedro Augusto Negrini da
Silva, Antônio Carlos
Carvalho, Francisval de Melo
author_role author
author2 Silva, Fábio Moreira da
Costa, Pedro Augusto Negrini da
Silva, Antônio Carlos
Carvalho, Francisval de Melo
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Ferraz, Gabriel Araújo e Silva
Silva, Fábio Moreira da
Costa, Pedro Augusto Negrini da
Silva, Antônio Carlos
Carvalho, Francisval de Melo
dc.subject.por.fl_str_mv Geostatistic
Spatial variability
Kriging
Semivariogram
coffee plant
Geoestatística
Variabilidade espacial
Krigagem
Semivariograma
cafeeiro
topic Geostatistic
Spatial variability
Kriging
Semivariogram
coffee plant
Geoestatística
Variabilidade espacial
Krigagem
Semivariograma
cafeeiro
description Precision agriculture appears as an important tool in the management of coffee farms where the knowledge of some soil fertility characteristics associated with the coffee production could help in specific application of fertilizers with positive environmental and economic results. So the aim of this article was to use precision agriculture and geoestatistics to evaluate the availability of phosphorus, potassium and yield of the coffee plant by evaluating the semivariogram and kriging maps and show that these tools are important for coffee management. This study was conducted on the Brejão farm in Três Pontas, Minas Gerais state, Brazil. As a data base we used soil chemical property data obtained by sampling in a georreferenced location using a quadricycle with a sampler and a GPS, and the yield data was obtained from manual harvest on the georreferenced location. The analysis of these data by using statistics and geostatistics tools allowed to characterize the spatial variability of the phosphorus, potassium, and the coffee yield, and allowed to analyze the relation among these variables. It was possible to observe that spatial dependence exists so it is possible to create maps of spatial distribution of the variables.
publishDate 2012
dc.date.none.fl_str_mv 2012-06-27
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://coffeescience.ufla.br/index.php/Coffeescience/article/view/204
url https://coffeescience.ufla.br/index.php/Coffeescience/article/view/204
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://coffeescience.ufla.br/index.php/Coffeescience/article/view/204/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2012 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2012 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora UFLA
publisher.none.fl_str_mv Editora UFLA
dc.source.none.fl_str_mv Coffee Science - ISSN 1984-3909; Vol. 7 No. 1 (2012); 59-67
Coffee Science; Vol. 7 Núm. 1 (2012); 59-67
Coffee Science; v. 7 n. 1 (2012); 59-67
1984-3909
reponame:Coffee Science (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Coffee Science (Online)
collection Coffee Science (Online)
repository.name.fl_str_mv Coffee Science (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv coffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com
_version_ 1799874918901350400

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