Methodology to determine the soil sampling grid for precision agriculture in a coffee field

Detalhes bibliográficos
Autor(a) principal: Ferraz, Gabriel Araújo e Silva
Data de Publicação: 2017
Outros Autores: Oliveira, Marcelo Silva de, Silva, Fábio Moreira da, Avelar, Rogner Carvalho, Silva, Flávio Castro da, Ferraz, Patrícia Ferreira Ponciano
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/30777
Resumo: The objective of this study was to develop and propose a methodology to evaluate the quality of different sampling grids. In addition, it allows us to choose the sampling grid that better suits one or a set of variables. The structure and magnitude of the spatial dependence were characterized by semivariogram. It allowed us to apply validation techniques as a base to create an index for evaluating the grid quality, and to develop an indicator that points out the best sampling grid. To test the proposed methodology, an experiment was performed at the Brejão farm, in Brazil. We have developed and compared twenty sampling grids, which were applied to four soil variables sampled in georeferenced locations. An accuracy index (AI), a precision index (PI) and the optimum grid indicator (OGI) were developed and proposed, which allowed us to choose the best grid (grid 5) among the sampling grids.
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spelling Methodology to determine the soil sampling grid for precision agriculture in a coffee fieldMetodología para determinar la cuadrícula de muestreo del suelo para la agricultura de precisión en un campo de caféGeostatisticsSpatial variabilitySoil fertilityAccuracy indexPrecision indexOptimum grid indicatorGeoestadísticaVariabilidad espacialFertilidad del sueloÍndice de exactitudeÍndice de precisiónIndicador de cuadricula óptimaThe objective of this study was to develop and propose a methodology to evaluate the quality of different sampling grids. In addition, it allows us to choose the sampling grid that better suits one or a set of variables. The structure and magnitude of the spatial dependence were characterized by semivariogram. It allowed us to apply validation techniques as a base to create an index for evaluating the grid quality, and to develop an indicator that points out the best sampling grid. To test the proposed methodology, an experiment was performed at the Brejão farm, in Brazil. We have developed and compared twenty sampling grids, which were applied to four soil variables sampled in georeferenced locations. An accuracy index (AI), a precision index (PI) and the optimum grid indicator (OGI) were developed and proposed, which allowed us to choose the best grid (grid 5) among the sampling grids.RESUMEN El objetivo de este estudio fue desarrollar y proponer una metodología para evaluar la calidad de las diferentes cuadrículas de muestreo. Además, es posible elegir la cuadricula de muestreo que mejor se adapte a una o un conjunto de variables. La estructura y la magnitud de la dependencia espacial fueron caracterizadas por semivariograma. Esto nos permitió utilizar las técnicas de validación que funcionaron como base para crear una clasificación para evaluar la calidad de la cuadricula y para desarrollar un indicador que apunta la mejor cuadricula de muestreo. Un experimento fue realizado en la hacienda Brejão en Brasil, para probar la metodología propuesta. Hemos desarrollado y comparado veinte muestras que fueran aplicadas en cuatro variables de suelo muestreados en los puntos georeferenciados. Un índice de exactitude (AI), un índice de precisión (PI) y el indicador de cuadricula óptima (OGI), fueron desarrollados y propuestos lo que nos permitió elegir la mejor muestra cuadricula de muestreo (cuadricula 5) entre las cuadrículas de muestreo.Universidad Nacional de Colombia2018-09-27T13:08:39Z2018-09-27T13:08:39Z2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfFERRAZ, G. A. e S. Methodology to determine the soil sampling grid for precision agriculture in a coffee field. Dyna, Medellín, v. 84, n. 200, p. 316-325, Jan./Mar. 2017.http://repositorio.ufla.br/jspui/handle/1/30777Dynareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessFerraz, Gabriel Araújo e SilvaOliveira, Marcelo Silva deSilva, Fábio Moreira daAvelar, Rogner CarvalhoSilva, Flávio Castro daFerraz, Patrícia Ferreira Poncianoeng2023-05-19T19:05:14Zoai:localhost:1/30777Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-19T19:05:14Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Methodology to determine the soil sampling grid for precision agriculture in a coffee field
Metodología para determinar la cuadrícula de muestreo del suelo para la agricultura de precisión en un campo de café
title Methodology to determine the soil sampling grid for precision agriculture in a coffee field
spellingShingle Methodology to determine the soil sampling grid for precision agriculture in a coffee field
Ferraz, Gabriel Araújo e Silva
Geostatistics
Spatial variability
Soil fertility
Accuracy index
Precision index
Optimum grid indicator
Geoestadística
Variabilidad espacial
Fertilidad del suelo
Índice de exactitude
Índice de precisión
Indicador de cuadricula óptima
title_short Methodology to determine the soil sampling grid for precision agriculture in a coffee field
title_full Methodology to determine the soil sampling grid for precision agriculture in a coffee field
title_fullStr Methodology to determine the soil sampling grid for precision agriculture in a coffee field
title_full_unstemmed Methodology to determine the soil sampling grid for precision agriculture in a coffee field
title_sort Methodology to determine the soil sampling grid for precision agriculture in a coffee field
author Ferraz, Gabriel Araújo e Silva
author_facet Ferraz, Gabriel Araújo e Silva
Oliveira, Marcelo Silva de
Silva, Fábio Moreira da
Avelar, Rogner Carvalho
Silva, Flávio Castro da
Ferraz, Patrícia Ferreira Ponciano
author_role author
author2 Oliveira, Marcelo Silva de
Silva, Fábio Moreira da
Avelar, Rogner Carvalho
Silva, Flávio Castro da
Ferraz, Patrícia Ferreira Ponciano
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Ferraz, Gabriel Araújo e Silva
Oliveira, Marcelo Silva de
Silva, Fábio Moreira da
Avelar, Rogner Carvalho
Silva, Flávio Castro da
Ferraz, Patrícia Ferreira Ponciano
dc.subject.por.fl_str_mv Geostatistics
Spatial variability
Soil fertility
Accuracy index
Precision index
Optimum grid indicator
Geoestadística
Variabilidad espacial
Fertilidad del suelo
Índice de exactitude
Índice de precisión
Indicador de cuadricula óptima
topic Geostatistics
Spatial variability
Soil fertility
Accuracy index
Precision index
Optimum grid indicator
Geoestadística
Variabilidad espacial
Fertilidad del suelo
Índice de exactitude
Índice de precisión
Indicador de cuadricula óptima
description The objective of this study was to develop and propose a methodology to evaluate the quality of different sampling grids. In addition, it allows us to choose the sampling grid that better suits one or a set of variables. The structure and magnitude of the spatial dependence were characterized by semivariogram. It allowed us to apply validation techniques as a base to create an index for evaluating the grid quality, and to develop an indicator that points out the best sampling grid. To test the proposed methodology, an experiment was performed at the Brejão farm, in Brazil. We have developed and compared twenty sampling grids, which were applied to four soil variables sampled in georeferenced locations. An accuracy index (AI), a precision index (PI) and the optimum grid indicator (OGI) were developed and proposed, which allowed us to choose the best grid (grid 5) among the sampling grids.
publishDate 2017
dc.date.none.fl_str_mv 2017
2018-09-27T13:08:39Z
2018-09-27T13:08:39Z
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 FERRAZ, G. A. e S. Methodology to determine the soil sampling grid for precision agriculture in a coffee field. Dyna, Medellín, v. 84, n. 200, p. 316-325, Jan./Mar. 2017.
http://repositorio.ufla.br/jspui/handle/1/30777
identifier_str_mv FERRAZ, G. A. e S. Methodology to determine the soil sampling grid for precision agriculture in a coffee field. Dyna, Medellín, v. 84, n. 200, p. 316-325, Jan./Mar. 2017.
url http://repositorio.ufla.br/jspui/handle/1/30777
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional de Colombia
publisher.none.fl_str_mv Universidad Nacional de Colombia
dc.source.none.fl_str_mv Dyna
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_ 1784550217616457728

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