Use of the farmer’s experience variable in the generation of management zones
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
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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Semina. Ciências Agrárias (Online) |
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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 |
_version_ |
1799306076502360064 |