Comparative economic analysis of soil sampling methods used in precision agriculture
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
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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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 |
_version_ |
1807835059156156416 |