Augmented reality systems for weed economic thresholds applications

Detalhes bibliográficos
Autor(a) principal: Vidal,N.R.
Data de Publicação: 2010
Outros Autores: Vidal,R.A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Planta daninha (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582010000200025
Resumo: The augmented reality (AR) technology has applications in many fields as diverse as aeronautics, tourism, medicine, and education. In this review are summarized the current status of AR and it is proposed a new application of it in weed science. The basic algorithmic elements for AR implementation are already available to develop applications in the area of weed economic thresholds. These include algorithms for image recognition to identify and quantify weeds by species and software for herbicide selection based on weed density. Likewise, all hardware necessary for AR implementation in weed science are available at an affordable price for the user. Thus, the authors propose weed science can take a leading role integrating AR systems into weed economic thresholds software, thus, providing better opportunities for science and computer-based weed control decisions.
id SBCPD-1_e92b508c82a53ea849f0500f56c25e1c
oai_identifier_str oai:scielo:S0100-83582010000200025
network_acronym_str SBCPD-1
network_name_str Planta daninha (Online)
repository_id_str
spelling Augmented reality systems for weed economic thresholds applicationsaugmented realityweed economic thresholdssoftwareneural algorithmsimage recognitionThe augmented reality (AR) technology has applications in many fields as diverse as aeronautics, tourism, medicine, and education. In this review are summarized the current status of AR and it is proposed a new application of it in weed science. The basic algorithmic elements for AR implementation are already available to develop applications in the area of weed economic thresholds. These include algorithms for image recognition to identify and quantify weeds by species and software for herbicide selection based on weed density. Likewise, all hardware necessary for AR implementation in weed science are available at an affordable price for the user. Thus, the authors propose weed science can take a leading role integrating AR systems into weed economic thresholds software, thus, providing better opportunities for science and computer-based weed control decisions.Sociedade Brasileira da Ciência das Plantas Daninhas 2010-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582010000200025Planta Daninha v.28 n.2 2010reponame:Planta daninha (Online)instname:Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD)instacron:SBCPD10.1590/S0100-83582010000200025info:eu-repo/semantics/openAccessVidal,N.R.Vidal,R.A.eng2010-07-15T00:00:00Zoai:scielo:S0100-83582010000200025Revistahttp://revistas.cpd.ufv.br/pdaninhaweb/https://old.scielo.br/oai/scielo-oai.php||rpdaninha@gmail.com1806-96810100-8358opendoar:2010-07-15T00:00Planta daninha (Online) - Sociedade Brasileira da Ciência das Plantas Daninhas (SBCPD)false
dc.title.none.fl_str_mv Augmented reality systems for weed economic thresholds applications
title Augmented reality systems for weed economic thresholds applications
spellingShingle Augmented reality systems for weed economic thresholds applications
Vidal,N.R.
augmented reality
weed economic thresholds
software
neural algorithms
image recognition
title_short Augmented reality systems for weed economic thresholds applications
title_full Augmented reality systems for weed economic thresholds applications
title_fullStr Augmented reality systems for weed economic thresholds applications
title_full_unstemmed Augmented reality systems for weed economic thresholds applications
title_sort Augmented reality systems for weed economic thresholds applications
author Vidal,N.R.
author_facet Vidal,N.R.
Vidal,R.A.
author_role author
author2 Vidal,R.A.
author2_role author
dc.contributor.author.fl_str_mv Vidal,N.R.
Vidal,R.A.
dc.subject.por.fl_str_mv augmented reality
weed economic thresholds
software
neural algorithms
image recognition
topic augmented reality
weed economic thresholds
software
neural algorithms
image recognition
description The augmented reality (AR) technology has applications in many fields as diverse as aeronautics, tourism, medicine, and education. In this review are summarized the current status of AR and it is proposed a new application of it in weed science. The basic algorithmic elements for AR implementation are already available to develop applications in the area of weed economic thresholds. These include algorithms for image recognition to identify and quantify weeds by species and software for herbicide selection based on weed density. Likewise, all hardware necessary for AR implementation in weed science are available at an affordable price for the user. Thus, the authors propose weed science can take a leading role integrating AR systems into weed economic thresholds software, thus, providing better opportunities for science and computer-based weed control decisions.
publishDate 2010
dc.date.none.fl_str_mv 2010-06-01
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=S0100-83582010000200025
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582010000200025
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0100-83582010000200025
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.28 n.2 2010
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_ 1752126492215607296

Registros relacionados