Use of the farmer’s experience variable in the generation of management zones

Detalhes bibliográficos
Autor(a) principal: Schenatto, Kelyn
Data de Publicação: 2017
Outros Autores: Souza, Eduardo Godoy de, Bazzi, Claudio Leones, Betzek, Nelson Miguel, Gavioli, Alan, Beneduzzi, Humberto Martins
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/26722
Resumo: In the spatial variability management of fields, the approach based on management zones (MZs) divides the area into sub-regions, which have spatially homogeneous topography and soil conditions. Such MZs should lead to the same potential yields. Farmers understand which areas of a field have high and low yields, and use of this knowledge may allow the identification of MZs in a field based on production history. The objective of the present study was to evaluate the application of farmer's experience to determine MZs. The study was conducted in three agricultural fields located in the west of the Paraná State in Brazil, and the MZs were generated considering three cases: a) without the use of the farmer’s experience variable; b) with the variable of farmer’s experience and the stable soil properties selected at the variable selection stage; and c) only with the farmer’s experience variable. The generated MZs were evaluated using the Variance Reduction (VR) index, Fuzziness Performance Index (FPI), Modified Partition Entropy (MPE), Smooth Index (SI), and Analysis of Variance (ANOVA). The study showed that the use of farmer’s experience to set MZs could be an efficient and simple tool, that it could reduce costs for the processes of setting MZs, compared to the traditional method of using stable soil variables and relief.
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spelling Use of the farmer’s experience variable in the generation of management zonesUtilização da variável experiência do produtor na geração de zonas de manejoPrecision agricultureClusteringFarmer feelingManagement units.Agricultura de precisãoAgrupamentoSentimento do produtorUnidades de manejo.In the spatial variability management of fields, the approach based on management zones (MZs) divides the area into sub-regions, which have spatially homogeneous topography and soil conditions. Such MZs should lead to the same potential yields. Farmers understand which areas of a field have high and low yields, and use of this knowledge may allow the identification of MZs in a field based on production history. The objective of the present study was to evaluate the application of farmer's experience to determine MZs. The study was conducted in three agricultural fields located in the west of the Paraná State in Brazil, and the MZs were generated considering three cases: a) without the use of the farmer’s experience variable; b) with the variable of farmer’s experience and the stable soil properties selected at the variable selection stage; and c) only with the farmer’s experience variable. The generated MZs were evaluated using the Variance Reduction (VR) index, Fuzziness Performance Index (FPI), Modified Partition Entropy (MPE), Smooth Index (SI), and Analysis of Variance (ANOVA). The study showed that the use of farmer’s experience to set MZs could be an efficient and simple tool, that it could reduce costs for the processes of setting MZs, compared to the traditional method of using stable soil variables and relief.No gerenciamento da variabilidade espacial das lavouras a abordagem baseada em zonas de manejo (ZMs) divide o talhão em sub-regiões, que apresentam topografia e condições do solo espacialmente homogêneas, de tal forma que tais ZMs devem conduzir aos mesmos resultados em potencial de rendimento das culturas. Os produtores têm experiência de quais áreas de um talhão apresentam altas e baixas produtividades e fazer uso dessa base de conhecimento pode permitir a identificação de ZMs em um campo com base no histórico de produção. O objetivo desse trabalho foi avaliar a eficiência de utilização da experiência do produtor na definição de ZMs. A pesquisa foi realizada em três áreas agrícolas localizadas na região Oeste do estado do Paraná/ Brasil e as ZMs foram geradas considerando três casos: a). Sem a utilização da variável experiência do produtor; b). Com a variável experiência do produtor e atributos estáveis do solo selecionados na etapa de seleção de variáveis; e c) Somente com a variável experiência do produtor. As ZMs geradas foram avaliadas pelos índices Redução da Variância (VR), Fuzziness Performance Index (FPI), Modified Partition Entropy (MPE), Smooth Index (SI) e Analysis of Variance (ANOVA). O estudo mostrou que a utilização da experiência do produtor para definir MZs pode ser uma ferramenta eficiente e simples, além de diminuir os custos no processo de definição de MZs, quando comparado ao método tradicional de utilização de variáveis estáveis do solo e do relevo.UEL2017-08-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/2672210.5433/1679-0359.2017v38n4Supl1p2305Semina: Ciências Agrárias; Vol. 38 No. 4Supl1 (2017); 2305-2322Semina: Ciências Agrárias; v. 38 n. 4Supl1 (2017); 2305-23221679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/26722/21484Copyright (c) 2017 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSchenatto, KelynSouza, Eduardo Godoy deBazzi, Claudio LeonesBetzek, Nelson MiguelGavioli, AlanBeneduzzi, Humberto Martins2022-10-21T14:59:33Zoai:ojs.pkp.sfu.ca:article/26722Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-10-21T14:59:33Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Use of the farmer’s experience variable in the generation of management zones
Utilização da variável experiência do produtor na geração de zonas de manejo
title Use of the farmer’s experience variable in the generation of management zones
spellingShingle Use of the farmer’s experience variable in the generation of management zones
Schenatto, Kelyn
Precision agriculture
Clustering
Farmer feeling
Management units.
Agricultura de precisão
Agrupamento
Sentimento do produtor
Unidades de manejo.
title_short Use of the farmer’s experience variable in the generation of management zones
title_full Use of the farmer’s experience variable in the generation of management zones
title_fullStr Use of the farmer’s experience variable in the generation of management zones
title_full_unstemmed Use of the farmer’s experience variable in the generation of management zones
title_sort Use of the farmer’s experience variable in the generation of management zones
author Schenatto, Kelyn
author_facet Schenatto, Kelyn
Souza, Eduardo Godoy de
Bazzi, Claudio Leones
Betzek, Nelson Miguel
Gavioli, Alan
Beneduzzi, Humberto Martins
author_role author
author2 Souza, Eduardo Godoy de
Bazzi, Claudio Leones
Betzek, Nelson Miguel
Gavioli, Alan
Beneduzzi, Humberto Martins
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Schenatto, Kelyn
Souza, Eduardo Godoy de
Bazzi, Claudio Leones
Betzek, Nelson Miguel
Gavioli, Alan
Beneduzzi, Humberto Martins
dc.subject.por.fl_str_mv Precision agriculture
Clustering
Farmer feeling
Management units.
Agricultura de precisão
Agrupamento
Sentimento do produtor
Unidades de manejo.
topic Precision agriculture
Clustering
Farmer feeling
Management units.
Agricultura de precisão
Agrupamento
Sentimento do produtor
Unidades de manejo.
description In the spatial variability management of fields, the approach based on management zones (MZs) divides the area into sub-regions, which have spatially homogeneous topography and soil conditions. Such MZs should lead to the same potential yields. Farmers understand which areas of a field have high and low yields, and use of this knowledge may allow the identification of MZs in a field based on production history. The objective of the present study was to evaluate the application of farmer's experience to determine MZs. The study was conducted in three agricultural fields located in the west of the Paraná State in Brazil, and the MZs were generated considering three cases: a) without the use of the farmer’s experience variable; b) with the variable of farmer’s experience and the stable soil properties selected at the variable selection stage; and c) only with the farmer’s experience variable. The generated MZs were evaluated using the Variance Reduction (VR) index, Fuzziness Performance Index (FPI), Modified Partition Entropy (MPE), Smooth Index (SI), and Analysis of Variance (ANOVA). The study showed that the use of farmer’s experience to set MZs could be an efficient and simple tool, that it could reduce costs for the processes of setting MZs, compared to the traditional method of using stable soil variables and relief.
publishDate 2017
dc.date.none.fl_str_mv 2017-08-25
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/26722
10.5433/1679-0359.2017v38n4Supl1p2305
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/26722
identifier_str_mv 10.5433/1679-0359.2017v38n4Supl1p2305
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/26722/21484
dc.rights.driver.fl_str_mv Copyright (c) 2017 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 38 No. 4Supl1 (2017); 2305-2322
Semina: Ciências Agrárias; v. 38 n. 4Supl1 (2017); 2305-2322
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
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