Comparative economic analysis of soil sampling methods used in precision agriculture

Detalhes bibliográficos
Autor(a) principal: Gonçalves, José Roberto M.R.
Data de Publicação: 2020
Outros Autores: Ferraz, Gabriel A. S., Reynaldo, Étore F., Marin, Diego B., Ferraz, Patrícia F. P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/42541
Resumo: Precision agriculture is an alternative for reducing costs. This study evaluated and economically compared three sampling methods used in precision agriculture with respect to the acquisition of inputs and machines and equipment. The sampling methods used were zone management by elevation (ZME), grid sampling (GS) and sampling guided by apparent electrical conductivity of the soil (OS). Soil samples for the ZME were collected after the definition of zones according to the elevations of the plots. The sample mesh was in a georeferenced mesh of 100 x 100 m. The targeted sampling was performed after a ground proximity sensor was used to identify the apparent electrical conductivity of the soil to define the management areas. From the results of the laboratory tests, the application costs were calculated for lime, phosphorus, potassium and nitrogen to allow a comparison between the methods, volumes and costs. This approach considered the costs of depreciation, insurance, interest, operating costs, labor, maintenance and fuel. With this study, it was possible to compare the volumes of the recommended fertilizers and estimate the overall economic cost of using the technology via sensor. Taking the GS as a reference, the ZME presented as the best alternative compared to other methods.
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spelling Comparative economic analysis of soil sampling methods used in precision agricultureElectrical conductivitySample gridsPrecision agricultureCondutividade elétricaGrades de amostraAgricultura de precisãoPrecision agriculture is an alternative for reducing costs. This study evaluated and economically compared three sampling methods used in precision agriculture with respect to the acquisition of inputs and machines and equipment. The sampling methods used were zone management by elevation (ZME), grid sampling (GS) and sampling guided by apparent electrical conductivity of the soil (OS). Soil samples for the ZME were collected after the definition of zones according to the elevations of the plots. The sample mesh was in a georeferenced mesh of 100 x 100 m. The targeted sampling was performed after a ground proximity sensor was used to identify the apparent electrical conductivity of the soil to define the management areas. From the results of the laboratory tests, the application costs were calculated for lime, phosphorus, potassium and nitrogen to allow a comparison between the methods, volumes and costs. This approach considered the costs of depreciation, insurance, interest, operating costs, labor, maintenance and fuel. With this study, it was possible to compare the volumes of the recommended fertilizers and estimate the overall economic cost of using the technology via sensor. Taking the GS as a reference, the ZME presented as the best alternative compared to other methods.Academia Brasileira de Ciências2020-08-21T16:35:14Z2020-08-21T16:35:14Z2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfGONÇALVES, J. R. M. R. et al. Comparative economic analysis of soil sampling methods used in precision agriculture. Anais da Academia Brasileira de Ciências, Rio de Janeiro, v. 91, 2020. Suplemento 1. DOI: https://doi.org/10.1590/0001-3765202020190277.http://repositorio.ufla.br/jspui/handle/1/42541Anais da Academia Brasileira de Ciênciasreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessGonçalves, José Roberto M.R.Ferraz, Gabriel A. S.Reynaldo, Étore F.Marin, Diego B.Ferraz, Patrícia F. P.eng2020-08-21T16:35:14Zoai:localhost:1/42541Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-08-21T16:35:14Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Comparative economic analysis of soil sampling methods used in precision agriculture
title Comparative economic analysis of soil sampling methods used in precision agriculture
spellingShingle Comparative economic analysis of soil sampling methods used in precision agriculture
Gonçalves, José Roberto M.R.
Electrical conductivity
Sample grids
Precision agriculture
Condutividade elétrica
Grades de amostra
Agricultura de precisão
title_short Comparative economic analysis of soil sampling methods used in precision agriculture
title_full Comparative economic analysis of soil sampling methods used in precision agriculture
title_fullStr Comparative economic analysis of soil sampling methods used in precision agriculture
title_full_unstemmed Comparative economic analysis of soil sampling methods used in precision agriculture
title_sort Comparative economic analysis of soil sampling methods used in precision agriculture
author Gonçalves, José Roberto M.R.
author_facet Gonçalves, José Roberto M.R.
Ferraz, Gabriel A. S.
Reynaldo, Étore F.
Marin, Diego B.
Ferraz, Patrícia F. P.
author_role author
author2 Ferraz, Gabriel A. S.
Reynaldo, Étore F.
Marin, Diego B.
Ferraz, Patrícia F. P.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Gonçalves, José Roberto M.R.
Ferraz, Gabriel A. S.
Reynaldo, Étore F.
Marin, Diego B.
Ferraz, Patrícia F. P.
dc.subject.por.fl_str_mv Electrical conductivity
Sample grids
Precision agriculture
Condutividade elétrica
Grades de amostra
Agricultura de precisão
topic Electrical conductivity
Sample grids
Precision agriculture
Condutividade elétrica
Grades de amostra
Agricultura de precisão
description Precision agriculture is an alternative for reducing costs. This study evaluated and economically compared three sampling methods used in precision agriculture with respect to the acquisition of inputs and machines and equipment. The sampling methods used were zone management by elevation (ZME), grid sampling (GS) and sampling guided by apparent electrical conductivity of the soil (OS). Soil samples for the ZME were collected after the definition of zones according to the elevations of the plots. The sample mesh was in a georeferenced mesh of 100 x 100 m. The targeted sampling was performed after a ground proximity sensor was used to identify the apparent electrical conductivity of the soil to define the management areas. From the results of the laboratory tests, the application costs were calculated for lime, phosphorus, potassium and nitrogen to allow a comparison between the methods, volumes and costs. This approach considered the costs of depreciation, insurance, interest, operating costs, labor, maintenance and fuel. With this study, it was possible to compare the volumes of the recommended fertilizers and estimate the overall economic cost of using the technology via sensor. Taking the GS as a reference, the ZME presented as the best alternative compared to other methods.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-21T16:35:14Z
2020-08-21T16:35:14Z
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 economic analysis of soil sampling methods used in precision agriculture. Anais da Academia Brasileira de Ciências, Rio de Janeiro, v. 91, 2020. Suplemento 1. DOI: https://doi.org/10.1590/0001-3765202020190277.
http://repositorio.ufla.br/jspui/handle/1/42541
identifier_str_mv GONÇALVES, J. R. M. R. et al. Comparative economic analysis of soil sampling methods used in precision agriculture. Anais da Academia Brasileira de Ciências, Rio de Janeiro, v. 91, 2020. Suplemento 1. DOI: https://doi.org/10.1590/0001-3765202020190277.
url http://repositorio.ufla.br/jspui/handle/1/42541
dc.language.iso.fl_str_mv eng
language eng
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 Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências
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
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