Using an aerial system of remote sensing to detect different nutritional status in Brachiaria decumbens
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , |
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. |
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Engenharia Agrícola |
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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 |