Using an aerial system of remote sensing to detect different nutritional status in Brachiaria decumbens

Detalhes bibliográficos
Autor(a) principal: Silva Júnior,Mário C. da
Data de Publicação: 2013
Outros Autores: Pinto,Francisco de A. De C., Queiroz,Daniel M. de, Vieira,Luciano B., Resende,Ricardo C. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000500016
Resumo: The aim of this study was to use digital images acquired by cameras attached to a helium balloon to detect variation of the nutritional status in Brachiaria decumbens. The treatments consisted of five doses of nitrogen (0, 50, 100, 150 e 200kg ha-1) with six replications each, evaluated in a completely randomized statistical design. A remote sensing system composed of digital cameras and microcomputers was used for image acquisition, and a helium balloon lifted the cameras to the heights of 15, 20, 25 and 30m. A portable chlorophyll meter and analyses of leaf nitrogen content were used to make comparisons with data obtained by the remote sensing system. Data was acquired in two phases, in different climatic conditions. At the end of each phase, dry matter production was measured. Three vegetation indices were used to evaluate the detection of different nutritional status. The three indices were able to detect the effects of N doses. The indices constructed with the Green spectral band showed to be more efficient.
id SBEA-1_84e9f0cd00e441b445e703d1a2d752ef
oai_identifier_str oai:scielo:S0100-69162013000500016
network_acronym_str SBEA-1
network_name_str Engenharia Agrícola
repository_id_str
spelling Using an aerial system of remote sensing to detect different nutritional status in Brachiaria decumbensdigital imagesvegetation indicesnitrogenThe aim of this study was to use digital images acquired by cameras attached to a helium balloon to detect variation of the nutritional status in Brachiaria decumbens. The treatments consisted of five doses of nitrogen (0, 50, 100, 150 e 200kg ha-1) with six replications each, evaluated in a completely randomized statistical design. A remote sensing system composed of digital cameras and microcomputers was used for image acquisition, and a helium balloon lifted the cameras to the heights of 15, 20, 25 and 30m. A portable chlorophyll meter and analyses of leaf nitrogen content were used to make comparisons with data obtained by the remote sensing system. Data was acquired in two phases, in different climatic conditions. At the end of each phase, dry matter production was measured. Three vegetation indices were used to evaluate the detection of different nutritional status. The three indices were able to detect the effects of N doses. The indices constructed with the Green spectral band showed to be more efficient.Associação Brasileira de Engenharia Agrícola2013-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000500016Engenharia Agrícola v.33 n.5 2013reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/S0100-69162013000500016info:eu-repo/semantics/openAccessSilva Júnior,Mário C. daPinto,Francisco de A. De C.Queiroz,Daniel M. deVieira,Luciano B.Resende,Ricardo C. deeng2013-11-21T00:00:00Zoai:scielo:S0100-69162013000500016Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2013-11-21T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false
dc.title.none.fl_str_mv Using an aerial system of remote sensing to detect different nutritional status in Brachiaria decumbens
title Using an aerial system of remote sensing to detect different nutritional status in Brachiaria decumbens
spellingShingle Using an aerial system of remote sensing to detect different nutritional status in Brachiaria decumbens
Silva Júnior,Mário C. da
digital images
vegetation indices
nitrogen
title_short Using an aerial system of remote sensing to detect different nutritional status in Brachiaria decumbens
title_full Using an aerial system of remote sensing to detect different nutritional status in Brachiaria decumbens
title_fullStr Using an aerial system of remote sensing to detect different nutritional status in Brachiaria decumbens
title_full_unstemmed Using an aerial system of remote sensing to detect different nutritional status in Brachiaria decumbens
title_sort Using an aerial system of remote sensing to detect different nutritional status in Brachiaria decumbens
author Silva Júnior,Mário C. da
author_facet Silva Júnior,Mário C. da
Pinto,Francisco de A. De C.
Queiroz,Daniel M. de
Vieira,Luciano B.
Resende,Ricardo C. de
author_role author
author2 Pinto,Francisco de A. De C.
Queiroz,Daniel M. de
Vieira,Luciano B.
Resende,Ricardo C. de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Silva Júnior,Mário C. da
Pinto,Francisco de A. De C.
Queiroz,Daniel M. de
Vieira,Luciano B.
Resende,Ricardo C. de
dc.subject.por.fl_str_mv digital images
vegetation indices
nitrogen
topic digital images
vegetation indices
nitrogen
description The aim of this study was to use digital images acquired by cameras attached to a helium balloon to detect variation of the nutritional status in Brachiaria decumbens. The treatments consisted of five doses of nitrogen (0, 50, 100, 150 e 200kg ha-1) with six replications each, evaluated in a completely randomized statistical design. A remote sensing system composed of digital cameras and microcomputers was used for image acquisition, and a helium balloon lifted the cameras to the heights of 15, 20, 25 and 30m. A portable chlorophyll meter and analyses of leaf nitrogen content were used to make comparisons with data obtained by the remote sensing system. Data was acquired in two phases, in different climatic conditions. At the end of each phase, dry matter production was measured. Three vegetation indices were used to evaluate the detection of different nutritional status. The three indices were able to detect the effects of N doses. The indices constructed with the Green spectral band showed to be more efficient.
publishDate 2013
dc.date.none.fl_str_mv 2013-10-01
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=S0100-69162013000500016
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000500016
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0100-69162013000500016
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 Associação Brasileira de Engenharia Agrícola
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
dc.source.none.fl_str_mv Engenharia Agrícola v.33 n.5 2013
reponame:Engenharia Agrícola
instname:Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
instname_str Associação Brasileira de Engenharia Agrícola (SBEA)
instacron_str SBEA
institution SBEA
reponame_str Engenharia Agrícola
collection Engenharia Agrícola
repository.name.fl_str_mv Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)
repository.mail.fl_str_mv revistasbea@sbea.org.br||sbea@sbea.org.br
_version_ 1752126271528108032