Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Planta daninha (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582012000200024 |
Resumo: | Several tools of precision agriculture have been developed for specific uses. However, this specificity may hinder the implementation of precision agriculture due to an increasing in costs and operational complexity. The use of vegetation index sensors which are traditionally developed for crop fertilization, for site-specific weed management can provide multiple utilizations of these sensors and result in the optimization of precision agriculture. The aim of this study was to evaluate the relationship between reflectance indices of weeds obtained by the GreenSeekerTM sensor and conventional parameters used for weed interference quantification. Two experiments were conducted with soybean and corn by establishing a gradient of weed interference through the use of pre- and post-emergence herbicides. The weed quantification was evaluated by the normalized difference vegetation index (NDVI) and the ratio of red to near infrared (Red/NIR) obtained using the GreenSeekerTM sensor, the visual weed control, the weed dry matter, and digital photographs, which supplied information about the leaf area coverage proportions of weed and straw. The weed leaf coverage obtained using digital photography was highly associated with the NDVI (r = 0.78) and the Red/NIR (r = -0.74). The weed dry matter also positively correlated with the NDVI obtained in 1 m linear (r = 0.66). The results indicated that the GreenSeekerTM sensor originally used for crop fertilization could also be used to obtain reflectance indices in the area between rows of crops to support decision-making programs for weed control. |
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Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agricultureGreenSeekerTMinterspecific competitioncornNDVIRed/NIRsoybeanSeveral tools of precision agriculture have been developed for specific uses. However, this specificity may hinder the implementation of precision agriculture due to an increasing in costs and operational complexity. The use of vegetation index sensors which are traditionally developed for crop fertilization, for site-specific weed management can provide multiple utilizations of these sensors and result in the optimization of precision agriculture. The aim of this study was to evaluate the relationship between reflectance indices of weeds obtained by the GreenSeekerTM sensor and conventional parameters used for weed interference quantification. Two experiments were conducted with soybean and corn by establishing a gradient of weed interference through the use of pre- and post-emergence herbicides. The weed quantification was evaluated by the normalized difference vegetation index (NDVI) and the ratio of red to near infrared (Red/NIR) obtained using the GreenSeekerTM sensor, the visual weed control, the weed dry matter, and digital photographs, which supplied information about the leaf area coverage proportions of weed and straw. The weed leaf coverage obtained using digital photography was highly associated with the NDVI (r = 0.78) and the Red/NIR (r = -0.74). The weed dry matter also positively correlated with the NDVI obtained in 1 m linear (r = 0.66). The results indicated that the GreenSeekerTM sensor originally used for crop fertilization could also be used to obtain reflectance indices in the area between rows of crops to support decision-making programs for weed control.Sociedade Brasileira da Ciência das Plantas Daninhas 2012-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582012000200024Planta Daninha v.30 n.2 2012reponame:Planta daninha (Online)instname:Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD)instacron:SBCPD10.1590/S0100-83582012000200024info:eu-repo/semantics/openAccessMerotto JR.,A.Bredemeier,C.Vidal,R.A.Goulart,I.C.G.R.Bortoli,E.D.Anderson,N.Leng2012-06-20T00:00:00Zoai:scielo:S0100-83582012000200024Revistahttp://revistas.cpd.ufv.br/pdaninhaweb/https://old.scielo.br/oai/scielo-oai.php||rpdaninha@gmail.com1806-96810100-8358opendoar:2012-06-20T00:00Planta daninha (Online) - Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD)false |
dc.title.none.fl_str_mv |
Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture |
title |
Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture |
spellingShingle |
Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture Merotto JR.,A. GreenSeekerTM interspecific competition corn NDVI Red/NIR soybean |
title_short |
Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture |
title_full |
Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture |
title_fullStr |
Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture |
title_full_unstemmed |
Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture |
title_sort |
Reflectance indices as a diagnostic tool for weed control performed by multipurpose equipment in precision agriculture |
author |
Merotto JR.,A. |
author_facet |
Merotto JR.,A. Bredemeier,C. Vidal,R.A. Goulart,I.C.G.R. Bortoli,E.D. Anderson,N.L |
author_role |
author |
author2 |
Bredemeier,C. Vidal,R.A. Goulart,I.C.G.R. Bortoli,E.D. Anderson,N.L |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Merotto JR.,A. Bredemeier,C. Vidal,R.A. Goulart,I.C.G.R. Bortoli,E.D. Anderson,N.L |
dc.subject.por.fl_str_mv |
GreenSeekerTM interspecific competition corn NDVI Red/NIR soybean |
topic |
GreenSeekerTM interspecific competition corn NDVI Red/NIR soybean |
description |
Several tools of precision agriculture have been developed for specific uses. However, this specificity may hinder the implementation of precision agriculture due to an increasing in costs and operational complexity. The use of vegetation index sensors which are traditionally developed for crop fertilization, for site-specific weed management can provide multiple utilizations of these sensors and result in the optimization of precision agriculture. The aim of this study was to evaluate the relationship between reflectance indices of weeds obtained by the GreenSeekerTM sensor and conventional parameters used for weed interference quantification. Two experiments were conducted with soybean and corn by establishing a gradient of weed interference through the use of pre- and post-emergence herbicides. The weed quantification was evaluated by the normalized difference vegetation index (NDVI) and the ratio of red to near infrared (Red/NIR) obtained using the GreenSeekerTM sensor, the visual weed control, the weed dry matter, and digital photographs, which supplied information about the leaf area coverage proportions of weed and straw. The weed leaf coverage obtained using digital photography was highly associated with the NDVI (r = 0.78) and the Red/NIR (r = -0.74). The weed dry matter also positively correlated with the NDVI obtained in 1 m linear (r = 0.66). The results indicated that the GreenSeekerTM sensor originally used for crop fertilization could also be used to obtain reflectance indices in the area between rows of crops to support decision-making programs for weed control. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-06-01 |
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=S0100-83582012000200024 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582012000200024 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0100-83582012000200024 |
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 |
Sociedade Brasileira da Ciência das Plantas Daninhas |
publisher.none.fl_str_mv |
Sociedade Brasileira da Ciência das Plantas Daninhas |
dc.source.none.fl_str_mv |
Planta Daninha v.30 n.2 2012 reponame:Planta daninha (Online) instname:Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD) instacron:SBCPD |
instname_str |
Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD) |
instacron_str |
SBCPD |
institution |
SBCPD |
reponame_str |
Planta daninha (Online) |
collection |
Planta daninha (Online) |
repository.name.fl_str_mv |
Planta daninha (Online) - Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD) |
repository.mail.fl_str_mv |
||rpdaninha@gmail.com |
_version_ |
1752126493458169856 |