Spatial variability of soil pH sampled by two methodologies used in precision agriculture in farms under crop rotation
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/40318 |
Resumo: | This study aimed to characterize the spatial variability of pH in soils of two farms in the state of Paraná, Brazil, based on two different sampling methods used in precision agriculture, by means of geostatistical analyzes. The first method of sampling the pH grid consisted in the collection of soil samples by the traditional method (1 point / ha). The second method of pH determination was by on-the-go soil sensor (200 points / ha). The spherical model was better suited to most semivariograms, regardless of the sampling method. After adjusting the semivariograms for soil pH determination methods, thematic maps were made using normal kriging. The best spatial distribution of pH was obtained where the attribute was sampled by the on-the-go sensor. The number of pH samples collected and the sampling method influenced the visual representation of pH variability. |
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Spatial variability of soil pH sampled by two methodologies used in precision agriculture in farms under crop rotationVariabilidad espacial del pH del suelo muestreado por dos metodologías utilizadas en agricultura de precisión en granjas bajo rotación de cultivosSpatial variabilityMobile contact sensorGrid samplingGeostatisticsVariabilidade espacialSensor de contato móvelAmostragem em gradeGeoestatísticaSensor de contacto móvilMuestreo en cuadrículaThis study aimed to characterize the spatial variability of pH in soils of two farms in the state of Paraná, Brazil, based on two different sampling methods used in precision agriculture, by means of geostatistical analyzes. The first method of sampling the pH grid consisted in the collection of soil samples by the traditional method (1 point / ha). The second method of pH determination was by on-the-go soil sensor (200 points / ha). The spherical model was better suited to most semivariograms, regardless of the sampling method. After adjusting the semivariograms for soil pH determination methods, thematic maps were made using normal kriging. The best spatial distribution of pH was obtained where the attribute was sampled by the on-the-go sensor. The number of pH samples collected and the sampling method influenced the visual representation of pH variability.El objetivo de este estudio fue caracterizar la variabilidad espacial del pH para suelos de dos fincas en el estado de Paraná, Brasil, con base en dos métodos diferentes de muestreo utilizados en agricultura de precisión, mediante análisis geoestaddísticos. El primero método de muestreo del pH consistió en la colecta de muestras de suelo por ele método tradicional (1punto/ha). El segundo método de determinación del pH fue el sensor de suelo dinâmico (200 puntos / ha). El modelo esférico fue más adecuado para la mayoría de los semivariogramas, independientemente del método de muestreo. La mejor distribución espacial fue obtenida por la cualidad del muestreado del sensor de suelo dinâmico. El número de muestras del pH colectadas y el método de muestreo influyeron en la representación visual de la variabilidad del pH.Universidad Nacional de Colombia2020-04-24T13:12:00Z2020-04-24T13:12:00Z2019-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfFERRAZ, G. A. e S. Spatial variability of soil pH sampled by two methodologies used in precision agriculture in farms under crop rotation. DYNA, Medellín, v. 86, n. 209, p. 289-297, Apr./June 2019.http://repositorio.ufla.br/jspui/handle/1/40318DYNAreponame: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 SilvaBarbosa, Brenon Diennevan SouzaReynaldo, Étore FranciscoSantos, Sthéfany Airane dosGonçalves, Jose Roberto Moreira RibeiroFerraz, Patrícia Ferreira Poncianoeng2023-05-02T19:49:59Zoai:localhost:1/40318Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-02T19:49:59Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Spatial variability of soil pH sampled by two methodologies used in precision agriculture in farms under crop rotation Variabilidad espacial del pH del suelo muestreado por dos metodologías utilizadas en agricultura de precisión en granjas bajo rotación de cultivos |
title |
Spatial variability of soil pH sampled by two methodologies used in precision agriculture in farms under crop rotation |
spellingShingle |
Spatial variability of soil pH sampled by two methodologies used in precision agriculture in farms under crop rotation Ferraz, Gabriel Araújo e Silva Spatial variability Mobile contact sensor Grid sampling Geostatistics Variabilidade espacial Sensor de contato móvel Amostragem em grade Geoestatística Sensor de contacto móvil Muestreo en cuadrícula |
title_short |
Spatial variability of soil pH sampled by two methodologies used in precision agriculture in farms under crop rotation |
title_full |
Spatial variability of soil pH sampled by two methodologies used in precision agriculture in farms under crop rotation |
title_fullStr |
Spatial variability of soil pH sampled by two methodologies used in precision agriculture in farms under crop rotation |
title_full_unstemmed |
Spatial variability of soil pH sampled by two methodologies used in precision agriculture in farms under crop rotation |
title_sort |
Spatial variability of soil pH sampled by two methodologies used in precision agriculture in farms under crop rotation |
author |
Ferraz, Gabriel Araújo e Silva |
author_facet |
Ferraz, Gabriel Araújo e Silva Barbosa, Brenon Diennevan Souza Reynaldo, Étore Francisco Santos, Sthéfany Airane dos Gonçalves, Jose Roberto Moreira Ribeiro Ferraz, Patrícia Ferreira Ponciano |
author_role |
author |
author2 |
Barbosa, Brenon Diennevan Souza Reynaldo, Étore Francisco Santos, Sthéfany Airane dos Gonçalves, Jose Roberto Moreira Ribeiro Ferraz, Patrícia Ferreira Ponciano |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Ferraz, Gabriel Araújo e Silva Barbosa, Brenon Diennevan Souza Reynaldo, Étore Francisco Santos, Sthéfany Airane dos Gonçalves, Jose Roberto Moreira Ribeiro Ferraz, Patrícia Ferreira Ponciano |
dc.subject.por.fl_str_mv |
Spatial variability Mobile contact sensor Grid sampling Geostatistics Variabilidade espacial Sensor de contato móvel Amostragem em grade Geoestatística Sensor de contacto móvil Muestreo en cuadrícula |
topic |
Spatial variability Mobile contact sensor Grid sampling Geostatistics Variabilidade espacial Sensor de contato móvel Amostragem em grade Geoestatística Sensor de contacto móvil Muestreo en cuadrícula |
description |
This study aimed to characterize the spatial variability of pH in soils of two farms in the state of Paraná, Brazil, based on two different sampling methods used in precision agriculture, by means of geostatistical analyzes. The first method of sampling the pH grid consisted in the collection of soil samples by the traditional method (1 point / ha). The second method of pH determination was by on-the-go soil sensor (200 points / ha). The spherical model was better suited to most semivariograms, regardless of the sampling method. After adjusting the semivariograms for soil pH determination methods, thematic maps were made using normal kriging. The best spatial distribution of pH was obtained where the attribute was sampled by the on-the-go sensor. The number of pH samples collected and the sampling method influenced the visual representation of pH variability. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-04 2020-04-24T13:12:00Z 2020-04-24T13:12:00Z |
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. Spatial variability of soil pH sampled by two methodologies used in precision agriculture in farms under crop rotation. DYNA, Medellín, v. 86, n. 209, p. 289-297, Apr./June 2019. http://repositorio.ufla.br/jspui/handle/1/40318 |
identifier_str_mv |
FERRAZ, G. A. e S. Spatial variability of soil pH sampled by two methodologies used in precision agriculture in farms under crop rotation. DYNA, Medellín, v. 86, n. 209, p. 289-297, Apr./June 2019. |
url |
http://repositorio.ufla.br/jspui/handle/1/40318 |
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_ |
1815439149740589056 |