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: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000201017
Resumo: Abstract 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 agricultureManagement zonessample gridssensorelectrical conductivityAbstract 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.Academia Brasileira de Ciências2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000201017Anais da Academia Brasileira de Ciências v.92 suppl.1 2020reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202020190277info:eu-repo/semantics/openAccessGONÇALVES,JOSÉ ROBERTO M.R.FERRAZ,GABRIEL A.S.REYNALDO,ÉTORE F.MARIN,DIEGO B.FERRAZ,PATRÍCIA F.P.eng2020-05-28T00:00:00Zoai:scielo:S0001-37652020000201017Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2020-05-28T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)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.
Management zones
sample grids
sensor
electrical conductivity
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 Management zones
sample grids
sensor
electrical conductivity
topic Management zones
sample grids
sensor
electrical conductivity
description Abstract 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 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765202020190277
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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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 v.92 suppl.1 2020
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
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instname_str Academia Brasileira de Ciências (ABC)
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reponame_str Anais da Academia Brasileira de Ciências (Online)
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repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
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