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Registro Completo |
Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
08/05/2012 |
Data da última atualização: |
07/03/2024 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
FREITAS, F. C.; GONÇALVES, L. G. V.; MORAIS, L. A. dw; CARVALHO, M. T. de M.; PETTER, F. A.; MADARI, B. E.; MATSUSHIGE, I.; LEAL, W. G. de O.; SANTOS, R. C. G. dos. |
Afiliação: |
FERNANDO CUNHA FREITAS, estudante UNI-ANHANGUERA; LAISSA GABRIELLE VIEIRA GONÇALVES, estudante UNEMAT; LEIDIMAR ALVES DE MORAIS, estudante UNEMAT; MARCIA THAIS DE MELO CARVALHO, CNPAF; FABIANO ANDRÉ PETTER, UNIVERSIDADE FEDERAL DO PIAUÍ; BEATA EMOKE MADARI, CNPAF; IVA MATSUSHIGE, CNPAF; WESLEY GABRIEL DE OLIVEIRA LEAL, CNPAF; ROBERTO CARLOS GOMES DOS SANTOS, CNPAF. |
Título: |
Effect of biochar and nitrogen management on nitrous oxide emissions in the Brazilian savanna (cerrado). |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
In: SEMINÁRIO JOVENS TALENTOS, 5., 2011, Santo Antônio de Goiás. Resumos apresentados. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2011. |
Páginas: |
P. 45. |
Série: |
(Embrapa Arroz e Feijão. Documentos, 270). |
Idioma: |
Inglês |
Conteúdo: |
The increase in nitrogen prices and demand for sustainable production gave importance to studies on strategies that increase nitrogen use efficiency. Two experiments were conducted aiming to test the effect of Eucalyptus sp charcoal on nitrous oxide (N2O) emissions and N use efficiency. |
Thesagro: |
Carvão vegetal; Cerrado; Nitrogênio; Solo. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/58888/1/45.pdf
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Marc: |
LEADER 01221nam a2200277 a 4500 001 1924055 005 2024-03-07 008 2011 bl uuuu u00u1 u #d 100 1 $aFREITAS, F. C. 245 $aEffect of biochar and nitrogen management on nitrous oxide emissions in the Brazilian savanna (cerrado).$h[electronic resource] 260 $aIn: SEMINÁRIO JOVENS TALENTOS, 5., 2011, Santo Antônio de Goiás. Resumos apresentados. Santo Antônio de Goiás: Embrapa Arroz e Feijão$c2011 300 $aP. 45. 490 $a(Embrapa Arroz e Feijão. Documentos, 270). 520 $aThe increase in nitrogen prices and demand for sustainable production gave importance to studies on strategies that increase nitrogen use efficiency. Two experiments were conducted aiming to test the effect of Eucalyptus sp charcoal on nitrous oxide (N2O) emissions and N use efficiency. 650 $aCarvão vegetal 650 $aCerrado 650 $aNitrogênio 650 $aSolo 700 1 $aGONÇALVES, L. G. V. 700 1 $aMORAIS, L. A. dw 700 1 $aCARVALHO, M. T. de M. 700 1 $aPETTER, F. A. 700 1 $aMADARI, B. E. 700 1 $aMATSUSHIGE, I. 700 1 $aLEAL, W. G. de O. 700 1 $aSANTOS, R. C. G. dos
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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Registro Completo
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
08/01/2018 |
Data da última atualização: |
17/01/2023 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
NEVES, M. C.; NEVES JÚNIOR, O. R.; LUIZ, A. J. B.; SANCHES, I. D. |
Afiliação: |
MARCOS CORREA NEVES, CNPMA; OTHON DA ROCHA NEVES JUNIOR, UFSC; ALFREDO JOSE BARRETO LUIZ, CNPMA; IEDA DEL'ARCO SANCHES, INPE. |
Título: |
Índice de cobertura verde para imagens de altíssima resolução. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. Trabalho 59957. |
Páginas: |
p. 1273-1280. |
Idioma: |
Português |
Conteúdo: |
The low altitude aerial images are becoming more common every day due to low cost and ease of use of platforms such as remotely piloted aircraft. The potential application of this type of data is very high. One example is the precision agriculture, a farming management concept based on observing, measuring and responding to inter and intra-field variability in crops, an activity than can greatly benefit from this technology. The low altitude of image acquisition allows very high level of scene details but aggravates problems such as lighting variation and image deformation. In addition, often common cameras are used in different situations altitude, inclination, lighting and camera setup. These specific characteristics in relation to the orbital data require development of new methods and approaches to exploit the potential of data and to mitigate problems and limitations. In this work, we present a proposal for a method that provides a green coverage index. It reflects the green pixels density in an area. The proposed index has similar applicability to vegetation indices but does not require near-infrared data, not available in common cameras. We show problems especially related to agriculture applications, present initial test results discuss the possibilities and limitations of the method. |
Palavras-Chave: |
Image processing; Imagem de satélite; Índice de área foliar; Processamento de imagem; Visão computacional. |
Thesagro: |
Agricultura; Sensoriamento remoto. |
Thesaurus NAL: |
Agriculture; Computer vision; Image analysis; Leaf area index; Remote sensing. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/170542/1/2017AA30.pdf
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Marc: |
LEADER 02257nam a2200301 a 4500 001 2084549 005 2023-01-17 008 2017 bl uuuu u00u1 u #d 100 1 $aNEVES, M. C. 245 $aÍndice de cobertura verde para imagens de altíssima resolução.$h[electronic resource] 260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. Trabalho 59957.$c2017 300 $ap. 1273-1280. 520 $aThe low altitude aerial images are becoming more common every day due to low cost and ease of use of platforms such as remotely piloted aircraft. The potential application of this type of data is very high. One example is the precision agriculture, a farming management concept based on observing, measuring and responding to inter and intra-field variability in crops, an activity than can greatly benefit from this technology. The low altitude of image acquisition allows very high level of scene details but aggravates problems such as lighting variation and image deformation. In addition, often common cameras are used in different situations altitude, inclination, lighting and camera setup. These specific characteristics in relation to the orbital data require development of new methods and approaches to exploit the potential of data and to mitigate problems and limitations. In this work, we present a proposal for a method that provides a green coverage index. It reflects the green pixels density in an area. The proposed index has similar applicability to vegetation indices but does not require near-infrared data, not available in common cameras. We show problems especially related to agriculture applications, present initial test results discuss the possibilities and limitations of the method. 650 $aAgriculture 650 $aComputer vision 650 $aImage analysis 650 $aLeaf area index 650 $aRemote sensing 650 $aAgricultura 650 $aSensoriamento remoto 653 $aImage processing 653 $aImagem de satélite 653 $aÍndice de área foliar 653 $aProcessamento de imagem 653 $aVisão computacional 700 1 $aNEVES JÚNIOR, O. R. 700 1 $aLUIZ, A. J. B. 700 1 $aSANCHES, I. D.
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