Validation of model for wheat yield prediction potential using active optical sensor

Detalhes bibliográficos
Autor(a) principal: Grohs, Daniel Santos
Data de Publicação: 2011
Outros Autores: Bredemeier, Christian, Poletto, Naracelis, Mundstock, Claudio Mario
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/9486
Resumo: The objective of this work was to validate a model based on the normalized difference vegetation index (NDVI) for the prediction of spatial variability of accumulated biomass in shoots and wheat grain yield. Georeferenced readings of NDVI and biomass, at the end of tillering, and of grain yield were carried out. The proposed method allowed relating classes of spatial variability of NDVI and biomass, with 81% of correspondence between them. However, the relation between spatial variability of yield and NDVI was lower, with 48% of correspondence.
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spelling Validation of model for wheat yield prediction potential using active optical sensorValidação de modelo para predição do potencial produtivo de trigo com sensor óptico ativoTriticum aestivum; precision agriculture; NDVI; spatial variabilityTriticum aestivum; agricultura de precisão; NDVI; variabilidade espacialThe objective of this work was to validate a model based on the normalized difference vegetation index (NDVI) for the prediction of spatial variability of accumulated biomass in shoots and wheat grain yield. Georeferenced readings of NDVI and biomass, at the end of tillering, and of grain yield were carried out. The proposed method allowed relating classes of spatial variability of NDVI and biomass, with 81% of correspondence between them. However, the relation between spatial variability of yield and NDVI was lower, with 48% of correspondence.O objetivo deste trabalho foi validar um modelo baseado no índice de vegetação por diferença normalizada (NDVI), para a predição da variabilidade espacial da biomassa acumulada na parte aérea e da produtividade de grãos de trigo. Foram realizadas leituras georreferenciadas de NDVI e biomassa, no final do afilhamento, e produtividade. O modelo proposto permitiu relacionar classes de variabilidade espacial do NDVI e da biomassa, com 81% de correspondência entre elas. Entretanto, a relação entre as classes de variabilidade espacial da produtividade e do NDVI foi menor, com 48% de correspondência.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraGrohs, Daniel SantosBredemeier, ChristianPoletto, NaracelisMundstock, Claudio Mario2011-06-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/9486Pesquisa Agropecuaria Brasileira; v.46, n.4, abr. 2011; 446-449Pesquisa Agropecuária Brasileira; v.46, n.4, abr. 2011; 446-4491678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/9486/6308https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9486/4706https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9486/4707https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9486/4708https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9486/4709https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9486/4710https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9486/4711info:eu-repo/semantics/openAccess2014-05-26T17:21:55Zoai:ojs.seer.sct.embrapa.br:article/9486Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-05-26T17:21:55Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Validation of model for wheat yield prediction potential using active optical sensor
Validação de modelo para predição do potencial produtivo de trigo com sensor óptico ativo
title Validation of model for wheat yield prediction potential using active optical sensor
spellingShingle Validation of model for wheat yield prediction potential using active optical sensor
Grohs, Daniel Santos
Triticum aestivum; precision agriculture; NDVI; spatial variability
Triticum aestivum; agricultura de precisão; NDVI; variabilidade espacial
title_short Validation of model for wheat yield prediction potential using active optical sensor
title_full Validation of model for wheat yield prediction potential using active optical sensor
title_fullStr Validation of model for wheat yield prediction potential using active optical sensor
title_full_unstemmed Validation of model for wheat yield prediction potential using active optical sensor
title_sort Validation of model for wheat yield prediction potential using active optical sensor
author Grohs, Daniel Santos
author_facet Grohs, Daniel Santos
Bredemeier, Christian
Poletto, Naracelis
Mundstock, Claudio Mario
author_role author
author2 Bredemeier, Christian
Poletto, Naracelis
Mundstock, Claudio Mario
author2_role author
author
author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Grohs, Daniel Santos
Bredemeier, Christian
Poletto, Naracelis
Mundstock, Claudio Mario
dc.subject.por.fl_str_mv Triticum aestivum; precision agriculture; NDVI; spatial variability
Triticum aestivum; agricultura de precisão; NDVI; variabilidade espacial
topic Triticum aestivum; precision agriculture; NDVI; spatial variability
Triticum aestivum; agricultura de precisão; NDVI; variabilidade espacial
description The objective of this work was to validate a model based on the normalized difference vegetation index (NDVI) for the prediction of spatial variability of accumulated biomass in shoots and wheat grain yield. Georeferenced readings of NDVI and biomass, at the end of tillering, and of grain yield were carried out. The proposed method allowed relating classes of spatial variability of NDVI and biomass, with 81% of correspondence between them. However, the relation between spatial variability of yield and NDVI was lower, with 48% of correspondence.
publishDate 2011
dc.date.none.fl_str_mv 2011-06-24
dc.type.none.fl_str_mv
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://seer.sct.embrapa.br/index.php/pab/article/view/9486
url https://seer.sct.embrapa.br/index.php/pab/article/view/9486
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/9486/6308
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9486/4706
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9486/4707
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9486/4708
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9486/4709
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9486/4710
https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9486/4711
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.46, n.4, abr. 2011; 446-449
Pesquisa Agropecuária Brasileira; v.46, n.4, abr. 2011; 446-449
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
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