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Registro Completo |
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Biblioteca(s): |
Embrapa Roraima. |
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Data corrente: |
21/02/2013 |
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Data da última atualização: |
25/02/2013 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
NEVES, L. C.; TOSIN, J. M.; SILVA, S.; SILVA, V. X. da; BACELAR-LIMA, C. G.; CHAGAS, E. A. |
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Afiliação: |
EDVAN ALVES CHAGAS, CPAF-RR. |
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Título: |
Comportamento bioquímico de componentes funcionais de frutos camu-camu do estado de Roraima. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 22., 2012, Bento Gonçalves. Anais... Bento Gonçalves: SBF, 2012. |
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Idioma: |
Português |
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Palavras-Chave: |
Fruta nativa. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/76953/1/Leandro-1-comportamento-bioquimico.pdf
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Marc: |
LEADER 00567nam a2200169 a 4500
001 1950471
005 2013-02-25
008 2012 bl uuuu u00u1 u #d
100 1 $aNEVES, L. C.
245 $aComportamento bioquímico de componentes funcionais de frutos camu-camu do estado de Roraima.
260 $aIn: CONGRESSO BRASILEIRO DE FRUTICULTURA, 22., 2012, Bento Gonçalves. Anais... Bento Gonçalves: SBF$c2012
653 $aFruta nativa
700 1 $aTOSIN, J. M.
700 1 $aSILVA, S.
700 1 $aSILVA, V. X. da
700 1 $aBACELAR-LIMA, C. G.
700 1 $aCHAGAS, E. A.
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Registro original: |
Embrapa Roraima (CPAF-RR) |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
28/12/2021 |
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Data da última atualização: |
28/12/2021 |
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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; PACIULLO, D. S. C.; GOMIDE, C. A. de M. |
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Afiliação: |
RICARDO GUIMARAES ANDRADE, CNPGL; MARCOS CICARINI HOTT, CNPGL; WALTER COELHO P DE MAGALHAES JUNIOR, CNPGL; DOMINGOS SAVIO CAMPOS PACIULLO, CNPGL; CARLOS AUGUSTO DE MIRANDA GOMIDE, CNPGL. |
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Título: |
Estimate of vigor classes of Brachiaria ruziziensis using sensors boarded on UAV plataform. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
International Journal of Advanced Engineering Research and Science, v, 8, n. 12, p. 365-370, 2021. |
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DOI: |
https://dx.doi.org/10.22161/ijaers.812.37 |
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Idioma: |
Inglês |
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Conteúdo: |
Traditional procedures for biomass estimation usually use destructive methods with great demands on time, resources, and labor. The development of models for automated estimation of pasture biomass, particularly from images captured by Unmanned Aerial Vehicle (UAV), in addition to high spatiotemporal resolution combined with flexibility in image acquisition, provides agility, the economy of resources, and labor. The objective of this work was to establish a technical feasibility study for the use of multispectral sensors onboard an Unmanned Aerial Vehicle (UAV) to estimate the vigor classes of Brachiaria ruziziensis pastures. For this purpose, imaging cameras in the visible (RGB), near-infrared and red edge ranges were used for continuous monitoring of 20 pasture paddocks with an area of 1,350 m2 each, totaling 27,000 m2 of the experimental area. The indices performed well and were sensitive in class discrimination at intervals that range from soil exposure and stresses caused by pest and disease infestation (low vigor) to conditions in which the vegetation is in good development, in class intervals with high levels of vegetation and, consequently, pointing to high values of biomass. |
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Palavras-Chave: |
Índice de vegetação; UAV. |
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Thesagro: |
Forragem; Sensoriamento Remoto. |
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Thesaurus NAL: |
Forage; Remote sensing; Vegetation index. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/229737/1/Estimate-vigor.pdf
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Marc: |
LEADER 02055naa a2200265 a 4500
001 2138479
005 2021-12-28
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://dx.doi.org/10.22161/ijaers.812.37$2DOI
100 1 $aANDRADE, R. G.
245 $aEstimate of vigor classes of Brachiaria ruziziensis using sensors boarded on UAV plataform.$h[electronic resource]
260 $c2021
520 $aTraditional procedures for biomass estimation usually use destructive methods with great demands on time, resources, and labor. The development of models for automated estimation of pasture biomass, particularly from images captured by Unmanned Aerial Vehicle (UAV), in addition to high spatiotemporal resolution combined with flexibility in image acquisition, provides agility, the economy of resources, and labor. The objective of this work was to establish a technical feasibility study for the use of multispectral sensors onboard an Unmanned Aerial Vehicle (UAV) to estimate the vigor classes of Brachiaria ruziziensis pastures. For this purpose, imaging cameras in the visible (RGB), near-infrared and red edge ranges were used for continuous monitoring of 20 pasture paddocks with an area of 1,350 m2 each, totaling 27,000 m2 of the experimental area. The indices performed well and were sensitive in class discrimination at intervals that range from soil exposure and stresses caused by pest and disease infestation (low vigor) to conditions in which the vegetation is in good development, in class intervals with high levels of vegetation and, consequently, pointing to high values of biomass.
650 $aForage
650 $aRemote sensing
650 $aVegetation index
650 $aForragem
650 $aSensoriamento Remoto
653 $aÍndice de vegetação
653 $aUAV
700 1 $aHOTT, M. C.
700 1 $aMAGALHAES JUNIOR, W. C. P. de
700 1 $aPACIULLO, D. S. C.
700 1 $aGOMIDE, C. A. de M.
773 $tInternational Journal of Advanced Engineering Research and Science, v, 8$gn. 12, p. 365-370, 2021.
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Embrapa Gado de Leite (CNPGL) |
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