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: | 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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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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000201017 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000201017 |
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 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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) instacron:ABC |
instname_str |
Academia Brasileira de Ciências (ABC) |
instacron_str |
ABC |
institution |
ABC |
reponame_str |
Anais da Academia Brasileira de Ciências (Online) |
collection |
Anais da Academia Brasileira de Ciências (Online) |
repository.name.fl_str_mv |
Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC) |
repository.mail.fl_str_mv |
||aabc@abc.org.br |
_version_ |
1754302868546912256 |