Comparative environmental analysis of soil sampling methods in precision agriculture for lime application in Paraná State, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/42542 |
Resumo: | Precision agriculture (PA) provides techniques that favour the localized application of inputs allowing their rational use. This makes the PA a potential indicator of reduced operational costs, input volume, and environmental impacts. The objective of this study was to evaluate and compare the environmental effects of three different sampling methods used in PA for the lime application. The first sampling method evaluated was the grid sampling (GS). It was performed at a density of one sample per hectare in a 100×100 m georeferenced grid. The second method was the directed sampling, that was performed after defining the management zones by soil apparent electrical conductivity (ECa) using a soil electrical conductivity sensor. The lest sampling method was the Altitude-based management zone (AMZ) sampling that was developed based on altitude maps of the field. These sampling methods were tested in three different areas in the south of Brazil. This study evaluated the spatial variability of the lime volume in the soil and compared quantitatively and spatially the recommended application volumes achieved by each sampling method. Results highlighted that the sensor-directed soil sampling method was the alternative that would generate the lowest environmental impact. |
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Comparative environmental analysis of soil sampling methods in precision agriculture for lime application in Paraná State, BrazilPrecision agricultureEnvironmental impactsSoil apparent electrical conductivitySample gridsAgricultura de precisãoImpactos ambientaisCondutividade elétrica aparente do soloGrades de amostraPrecision agriculture (PA) provides techniques that favour the localized application of inputs allowing their rational use. This makes the PA a potential indicator of reduced operational costs, input volume, and environmental impacts. The objective of this study was to evaluate and compare the environmental effects of three different sampling methods used in PA for the lime application. The first sampling method evaluated was the grid sampling (GS). It was performed at a density of one sample per hectare in a 100×100 m georeferenced grid. The second method was the directed sampling, that was performed after defining the management zones by soil apparent electrical conductivity (ECa) using a soil electrical conductivity sensor. The lest sampling method was the Altitude-based management zone (AMZ) sampling that was developed based on altitude maps of the field. These sampling methods were tested in three different areas in the south of Brazil. This study evaluated the spatial variability of the lime volume in the soil and compared quantitatively and spatially the recommended application volumes achieved by each sampling method. Results highlighted that the sensor-directed soil sampling method was the alternative that would generate the lowest environmental impact.Estonian University of Life Sciences2020-08-21T16:35:19Z2020-08-21T16:35:19Z2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfGONÇALVES, J. R. M. R. et al. Comparative environmental analysis of soil sampling methods in precision agriculture for lime application in Paraná State, Brazil. Agronomy Research, Tartu, v. 18, p. 1278-1287, 2020. Special issue 2. DOI: https://doi.org/10.15159/AR.20.101.http://repositorio.ufla.br/jspui/handle/1/42542Agronomy Researchreponame: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/openAccessGonçalves, J. R. M. R.Ferraz, G. A. S.Marin, D. B.Reynaldo, E. F.Ferraz, P. F. P.Sarri, D.Vieri, M.por2023-05-02T18:15:11Zoai:localhost:1/42542Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-02T18:15:11Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Comparative environmental analysis of soil sampling methods in precision agriculture for lime application in Paraná State, Brazil |
title |
Comparative environmental analysis of soil sampling methods in precision agriculture for lime application in Paraná State, Brazil |
spellingShingle |
Comparative environmental analysis of soil sampling methods in precision agriculture for lime application in Paraná State, Brazil Gonçalves, J. R. M. R. Precision agriculture Environmental impacts Soil apparent electrical conductivity Sample grids Agricultura de precisão Impactos ambientais Condutividade elétrica aparente do solo Grades de amostra |
title_short |
Comparative environmental analysis of soil sampling methods in precision agriculture for lime application in Paraná State, Brazil |
title_full |
Comparative environmental analysis of soil sampling methods in precision agriculture for lime application in Paraná State, Brazil |
title_fullStr |
Comparative environmental analysis of soil sampling methods in precision agriculture for lime application in Paraná State, Brazil |
title_full_unstemmed |
Comparative environmental analysis of soil sampling methods in precision agriculture for lime application in Paraná State, Brazil |
title_sort |
Comparative environmental analysis of soil sampling methods in precision agriculture for lime application in Paraná State, Brazil |
author |
Gonçalves, J. R. M. R. |
author_facet |
Gonçalves, J. R. M. R. Ferraz, G. A. S. Marin, D. B. Reynaldo, E. F. Ferraz, P. F. P. Sarri, D. Vieri, M. |
author_role |
author |
author2 |
Ferraz, G. A. S. Marin, D. B. Reynaldo, E. F. Ferraz, P. F. P. Sarri, D. Vieri, M. |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Gonçalves, J. R. M. R. Ferraz, G. A. S. Marin, D. B. Reynaldo, E. F. Ferraz, P. F. P. Sarri, D. Vieri, M. |
dc.subject.por.fl_str_mv |
Precision agriculture Environmental impacts Soil apparent electrical conductivity Sample grids Agricultura de precisão Impactos ambientais Condutividade elétrica aparente do solo Grades de amostra |
topic |
Precision agriculture Environmental impacts Soil apparent electrical conductivity Sample grids Agricultura de precisão Impactos ambientais Condutividade elétrica aparente do solo Grades de amostra |
description |
Precision agriculture (PA) provides techniques that favour the localized application of inputs allowing their rational use. This makes the PA a potential indicator of reduced operational costs, input volume, and environmental impacts. The objective of this study was to evaluate and compare the environmental effects of three different sampling methods used in PA for the lime application. The first sampling method evaluated was the grid sampling (GS). It was performed at a density of one sample per hectare in a 100×100 m georeferenced grid. The second method was the directed sampling, that was performed after defining the management zones by soil apparent electrical conductivity (ECa) using a soil electrical conductivity sensor. The lest sampling method was the Altitude-based management zone (AMZ) sampling that was developed based on altitude maps of the field. These sampling methods were tested in three different areas in the south of Brazil. This study evaluated the spatial variability of the lime volume in the soil and compared quantitatively and spatially the recommended application volumes achieved by each sampling method. Results highlighted that the sensor-directed soil sampling method was the alternative that would generate the lowest environmental impact. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-08-21T16:35:19Z 2020-08-21T16:35:19Z 2020 |
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 |
GONÇALVES, J. R. M. R. et al. Comparative environmental analysis of soil sampling methods in precision agriculture for lime application in Paraná State, Brazil. Agronomy Research, Tartu, v. 18, p. 1278-1287, 2020. Special issue 2. DOI: https://doi.org/10.15159/AR.20.101. http://repositorio.ufla.br/jspui/handle/1/42542 |
identifier_str_mv |
GONÇALVES, J. R. M. R. et al. Comparative environmental analysis of soil sampling methods in precision agriculture for lime application in Paraná State, Brazil. Agronomy Research, Tartu, v. 18, p. 1278-1287, 2020. Special issue 2. DOI: https://doi.org/10.15159/AR.20.101. |
url |
http://repositorio.ufla.br/jspui/handle/1/42542 |
dc.language.iso.fl_str_mv |
por |
language |
por |
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 |
Estonian University of Life Sciences |
publisher.none.fl_str_mv |
Estonian University of Life Sciences |
dc.source.none.fl_str_mv |
Agronomy Research 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_ |
1807835204023222272 |