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Registro Completo |
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Biblioteca(s): |
Embrapa Tabuleiros Costeiros. |
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Data corrente: |
17/05/2011 |
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Data da última atualização: |
17/05/2011 |
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Autoria: |
LOIOLA, C. M.; ARAGAO, W. M.; ARAGAO, F. B.; PEDROSO, G. T.; CAMBUI, E. V. F. |
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Afiliação: |
CARINA MENDES LOIOLA; WILSON MENEZES ARAGAO, CPATC; FERNANDA BARRETO ARAGAO; GABRIELE TORINO PEDROSO; ERICA VERENA FIGUEIREDO CAMBUI. |
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Título: |
Produção de água de coco de cultivares de coqueiro amarelo. |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
Aracaju: Embrapa Tabuleiros Costeiros, 2005. |
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Páginas: |
2 p. |
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Série: |
(Embrapa Tabuleiros Costeiros. Comunicado Técnico, 43). |
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Idioma: |
Português |
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Palavras-Chave: |
Coco amarelo; Coconut. |
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Thesagro: |
Água de Coco; Coco. |
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Thesaurus Nal: |
water. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/34804/1/cot-43.pdf
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Marc: |
LEADER 00658nam a2200229 a 4500
001 1888762
005 2011-05-17
008 2005 bl uuuu u0uu1 u #d
100 1 $aLOIOLA, C. M.
245 $aProdução de água de coco de cultivares de coqueiro amarelo.$h[electronic resource]
260 $aAracaju: Embrapa Tabuleiros Costeiros$c2005
300 $a2 p.
490 $a(Embrapa Tabuleiros Costeiros. Comunicado Técnico, 43).
650 $awater
650 $aÁgua de Coco
650 $aCoco
653 $aCoco amarelo
653 $aCoconut
700 1 $aARAGAO, W. M.
700 1 $aARAGAO, F. B.
700 1 $aPEDROSO, G. T.
700 1 $aCAMBUI, E. V. F.
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Registro original: |
Embrapa Tabuleiros Costeiros (CPATC) |
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Voltar
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
08/01/2020 |
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Data da última atualização: |
06/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
ANDRADE, R. G.; HOTT, M. C.; MAGALHAES JUNIOR, W. C. P. de; OLIVEIRA, P. S. d'; OLIVEIRA, J. S. e. |
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Afiliação: |
RICARDO GUIMARAES ANDRADE, CNPGL; MARCOS CICARINI HOTT, CNPGL; WALTER COELHO P DE MAGALHAES JUNIOR, CNPGL; PERSIO SANDIR D OLIVEIRA, CNPGL; JACKSON SILVA E OLIVEIRA, CNPGL. |
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Título: |
Monitoring of corn growth stages by UAV platform sensors. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
International Journal of Advanced Engineering Research and Science, v. 6, n. 9, p. 54-58, 2019. |
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Idioma: |
Inglês |
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Conteúdo: |
Increasing agricultural productivity with economic and environmental sustainability is one of the main challenges in agriculture. The aerial survey platforms known as unmanned aerial vehicles (UAV), so-called drones, allow monitoring, evaluation, and decision support activities to improve the management of crops and herds in farms of any production scale. Vegetation indices are used to map the vegetation cover, mainly on a large scale, using satellite images. However, sensors coupled to UAV platforms provide other indices that can be used to detect the stress load of vegetation at more precise spatial scales. The Visible Atmospherically Resistant Index - VARI and the Green Leaf Index - GLI showed similar performances in the initial vegetative stages of corn crop. Both indices were sensitive to class discrimination at intervals that indicate from bare soil and low vigor (shades of red, orange, and yellow) to the condition of high vegetation vigor (shades of green). The results of vegetation indices in the visible spectrum range prove the applicability of the method for data collection and information extraction related to development and growth of crops. Overall, the indices VARI and GLI appear as a potential alternative for crop monitoring using low cost RGB sensors onboard UAV platforms. |
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Palavras-Chave: |
UAV. |
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Thesaurus NAL: |
Corn; Remote sensing; Vegetation index. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01957naa a2200217 a 4500
001 2118385
005 2024-02-06
008 2019 bl uuuu u00u1 u #d
100 1 $aANDRADE, R. G.
245 $aMonitoring of corn growth stages by UAV platform sensors.$h[electronic resource]
260 $c2019
520 $aIncreasing agricultural productivity with economic and environmental sustainability is one of the main challenges in agriculture. The aerial survey platforms known as unmanned aerial vehicles (UAV), so-called drones, allow monitoring, evaluation, and decision support activities to improve the management of crops and herds in farms of any production scale. Vegetation indices are used to map the vegetation cover, mainly on a large scale, using satellite images. However, sensors coupled to UAV platforms provide other indices that can be used to detect the stress load of vegetation at more precise spatial scales. The Visible Atmospherically Resistant Index - VARI and the Green Leaf Index - GLI showed similar performances in the initial vegetative stages of corn crop. Both indices were sensitive to class discrimination at intervals that indicate from bare soil and low vigor (shades of red, orange, and yellow) to the condition of high vegetation vigor (shades of green). The results of vegetation indices in the visible spectrum range prove the applicability of the method for data collection and information extraction related to development and growth of crops. Overall, the indices VARI and GLI appear as a potential alternative for crop monitoring using low cost RGB sensors onboard UAV platforms.
650 $aCorn
650 $aRemote sensing
650 $aVegetation index
653 $aUAV
700 1 $aHOTT, M. C.
700 1 $aMAGALHAES JUNIOR, W. C. P. de
700 1 $aOLIVEIRA, P. S. d'
700 1 $aOLIVEIRA, J. S. e
773 $tInternational Journal of Advanced Engineering Research and Science$gv. 6, n. 9, p. 54-58, 2019.
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Embrapa Gado de Leite (CNPGL) |
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