Spatial variability of apparent electrical conductivity and soil properties in a coffee production field
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/28980 |
Resumo: | Precision agriculture based on the physical and chemical properties of soil requires dense sampling to determine the spatial variability of these properties. This dense sampling is often expensive and time-consuming. One technique used to reduce sample numbers involves defining management zones based on information collected in the field. Some researchers have demonstrated the importance of soil electrical variables in defining management zones. The objective of this study was to evaluate the relationship between the spatial variability of the apparent electrical conductivity and the soil properties in the coffee production of mountain regions. Spatial variability maps were generated using a geostatistical method. Based on the spatial variability results, a correlation analysis, using bivariate Moran's index, was done to evaluate the relationship between the apparent electrical conductivity and soil properties. The maps of potassium (K) and remaining phosphorus (P-rem) were the closest to the spatial variability pattern of the apparent electrical conductivity. |
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Spatial variability of apparent electrical conductivity and soil properties in a coffee production fieldVariabilidade espacial da condutividade elétrica aparente e das propriedades do solo em área de produção de caféGeostatisticalManagement zoneSensorsGeoestatísticaZonas de manejoSensoresPrecision agriculture based on the physical and chemical properties of soil requires dense sampling to determine the spatial variability of these properties. This dense sampling is often expensive and time-consuming. One technique used to reduce sample numbers involves defining management zones based on information collected in the field. Some researchers have demonstrated the importance of soil electrical variables in defining management zones. The objective of this study was to evaluate the relationship between the spatial variability of the apparent electrical conductivity and the soil properties in the coffee production of mountain regions. Spatial variability maps were generated using a geostatistical method. Based on the spatial variability results, a correlation analysis, using bivariate Moran's index, was done to evaluate the relationship between the apparent electrical conductivity and soil properties. The maps of potassium (K) and remaining phosphorus (P-rem) were the closest to the spatial variability pattern of the apparent electrical conductivity.A agricultura de precisão baseada nas propriedades físicas e químicas do solo exige uma amostragem densa para se determinar a variabilidade espacial no campo. Essa amostragem densa, muitas vezes, apresenta custo e tempo consumido elevados. Uma das técnicas para reduzir o número de amostras é definir zonas de manejo em função de informações coletadas no campo. Alguns pesquisadores têm demonstrado a importância desempenhada pelas variáveis elétricas do solo para definir zonas de manejo. Dessa forma, este trabalho teve como objetivo avaliar a relação entre a variabilidade espacial da condutividade elétrica aparente e as propriedades do solo em regiões de produção de cafés de montanha. Os mapas de variabilidade espacial foram gerados utilizando-se de técnicas de geoestatística. Com base nos resultados espacializados, foi realizada uma análise de correlação, utilizando-se do índice de Moran bivariado, entre o mapa de condutividade elétrica e as propriedades do solo. Observou-se que os mapas de potássio (K) e fósforo remanescente (P-rem) foram os que mais se aproximaram do padrão de variabilidade espacial da condutividade elétrica aparente do solo.Associação Brasileira de Engenharia Agrícola2018-04-03T18:41:35Z2018-04-03T18:41:35Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfVALENTE, D. S. M. et al. Spatial variability of apparent electrical conductivity and soil properties in a coffee production field. Engenharia Agrícola, Jaboticabal, v. 34, n. 6, p. 1224-1233, nov./dez. 2014.http://repositorio.ufla.br/jspui/handle/1/28980Engenharia Agrícolareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessValente, Domingos Sárvio MagalhãesQueiroz, Daniel Marcal dePinto, Francisco de Assis CarvalhoSantos, Fabio LucioSantos, Nerilson Terrapor2023-05-02T18:04:26Zoai:localhost:1/28980Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-02T18:04:26Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Spatial variability of apparent electrical conductivity and soil properties in a coffee production field Variabilidade espacial da condutividade elétrica aparente e das propriedades do solo em área de produção de café |
title |
Spatial variability of apparent electrical conductivity and soil properties in a coffee production field |
spellingShingle |
Spatial variability of apparent electrical conductivity and soil properties in a coffee production field Valente, Domingos Sárvio Magalhães Geostatistical Management zone Sensors Geoestatística Zonas de manejo Sensores |
title_short |
Spatial variability of apparent electrical conductivity and soil properties in a coffee production field |
title_full |
Spatial variability of apparent electrical conductivity and soil properties in a coffee production field |
title_fullStr |
Spatial variability of apparent electrical conductivity and soil properties in a coffee production field |
title_full_unstemmed |
Spatial variability of apparent electrical conductivity and soil properties in a coffee production field |
title_sort |
Spatial variability of apparent electrical conductivity and soil properties in a coffee production field |
author |
Valente, Domingos Sárvio Magalhães |
author_facet |
Valente, Domingos Sárvio Magalhães Queiroz, Daniel Marcal de Pinto, Francisco de Assis Carvalho Santos, Fabio Lucio Santos, Nerilson Terra |
author_role |
author |
author2 |
Queiroz, Daniel Marcal de Pinto, Francisco de Assis Carvalho Santos, Fabio Lucio Santos, Nerilson Terra |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Valente, Domingos Sárvio Magalhães Queiroz, Daniel Marcal de Pinto, Francisco de Assis Carvalho Santos, Fabio Lucio Santos, Nerilson Terra |
dc.subject.por.fl_str_mv |
Geostatistical Management zone Sensors Geoestatística Zonas de manejo Sensores |
topic |
Geostatistical Management zone Sensors Geoestatística Zonas de manejo Sensores |
description |
Precision agriculture based on the physical and chemical properties of soil requires dense sampling to determine the spatial variability of these properties. This dense sampling is often expensive and time-consuming. One technique used to reduce sample numbers involves defining management zones based on information collected in the field. Some researchers have demonstrated the importance of soil electrical variables in defining management zones. The objective of this study was to evaluate the relationship between the spatial variability of the apparent electrical conductivity and the soil properties in the coffee production of mountain regions. Spatial variability maps were generated using a geostatistical method. Based on the spatial variability results, a correlation analysis, using bivariate Moran's index, was done to evaluate the relationship between the apparent electrical conductivity and soil properties. The maps of potassium (K) and remaining phosphorus (P-rem) were the closest to the spatial variability pattern of the apparent electrical conductivity. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014 2018-04-03T18:41:35Z 2018-04-03T18:41:35Z |
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. Spatial variability of apparent electrical conductivity and soil properties in a coffee production field. Engenharia Agrícola, Jaboticabal, v. 34, n. 6, p. 1224-1233, nov./dez. 2014. http://repositorio.ufla.br/jspui/handle/1/28980 |
identifier_str_mv |
VALENTE, D. S. M. et al. Spatial variability of apparent electrical conductivity and soil properties in a coffee production field. Engenharia Agrícola, Jaboticabal, v. 34, n. 6, p. 1224-1233, nov./dez. 2014. |
url |
http://repositorio.ufla.br/jspui/handle/1/28980 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
dc.source.none.fl_str_mv |
Engenharia Agrícola 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_ |
1807835051305467904 |