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Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
20/07/2015 |
Data da última atualização: |
14/07/2022 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
NEVES, M. C.; PEREZ, N. B.; SISTI, R. N. |
Afiliação: |
MARCOS CORREA NEVES, CNPMA; NAYLOR BASTIANI PEREZ, CPPSUL; RODISON NATIVIDADE SISTI, CPPSUL. |
Título: |
Análise exploratória de dados de monitoramento da dinâmica do gado em uma pastagem natural invadida pelo capim-annoni. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 2252-2258. |
Idioma: |
Português |
Conteúdo: |
Abstract: The Precision Agriculture considers spatial variability in the agricultural parcel to increase the efficiency in production process. For this it is necessary to know the behavior of the relevant variables and develop viable strategies for action in system. The application of the Precision Agriculture principles in a livestock system involves a higher degree of difficulty due to the greater number of factors involved and the presence of animal component. Variables such as mobility, trampling, defecations of animals and preferential areas may impact the system and should be considered. The objective of this paper is to perform an exploratory analysis of data from monitoring of animals in an experimental plot of a livestock system, evaluating the behavior of animals in different situations, and in future relate this behavior with other factors present in the system. The monitoring of the animals was performed with a set of GPS devices, fixed in six animals from a herd. GPS data (position, velocity, etc.) were complemented by field observations. Data were analyzed with the Kernel intensity estimator in different situations: moving animals; without movement, grazing animals, and nongrazing. Maps resulting from the analysis are presented for the situations investigated. The data analysis allowed us to identify the areas used for the rest of the animals and areas with different grazing intensities. |
Palavras-Chave: |
Estimador de intensidade kernel; Monitoramento; Spacial data. |
Thesagro: |
Agricultura de precisão; Capim annoni; Gado de corte; Pastagem; Pecuária; Sensoriamento remoto. |
Thesaurus Nal: |
Livestock; Precision agriculture; Remote sensing. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1020086/1/Neves-Analise-exploratoria-2015.pdf
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Marc: |
LEADER 02356nam a2200277 a 4500 001 2020086 005 2022-07-14 008 2015 bl uuuu u00u1 u #d 100 1 $aNEVES, M. C. 245 $aAnálise exploratória de dados de monitoramento da dinâmica do gado em uma pastagem natural invadida pelo capim-annoni.$h[electronic resource] 260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 2252-2258.$c2015 520 $aAbstract: The Precision Agriculture considers spatial variability in the agricultural parcel to increase the efficiency in production process. For this it is necessary to know the behavior of the relevant variables and develop viable strategies for action in system. The application of the Precision Agriculture principles in a livestock system involves a higher degree of difficulty due to the greater number of factors involved and the presence of animal component. Variables such as mobility, trampling, defecations of animals and preferential areas may impact the system and should be considered. The objective of this paper is to perform an exploratory analysis of data from monitoring of animals in an experimental plot of a livestock system, evaluating the behavior of animals in different situations, and in future relate this behavior with other factors present in the system. The monitoring of the animals was performed with a set of GPS devices, fixed in six animals from a herd. GPS data (position, velocity, etc.) were complemented by field observations. Data were analyzed with the Kernel intensity estimator in different situations: moving animals; without movement, grazing animals, and nongrazing. Maps resulting from the analysis are presented for the situations investigated. The data analysis allowed us to identify the areas used for the rest of the animals and areas with different grazing intensities. 650 $aLivestock 650 $aPrecision agriculture 650 $aRemote sensing 650 $aAgricultura de precisão 650 $aCapim annoni 650 $aGado de corte 650 $aPastagem 650 $aPecuária 650 $aSensoriamento remoto 653 $aEstimador de intensidade kernel 653 $aMonitoramento 653 $aSpacial data 700 1 $aPEREZ, N. B. 700 1 $aSISTI, R. N.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Cerrados. |
Data corrente: |
05/02/2009 |
Data da última atualização: |
21/05/2009 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
Internacional - A |
Autoria: |
GRISOLIA, C. K.; OLIVEIRA-FILHO, E. C.; RAMOS, F. R.; LOPES, M. C.; MUNIZ, D. H. F.; MONNERAT, R. G. |
Afiliação: |
Cesar Koppe Grisolia, UnB; Eduardo Cyrino Oliveira-Filho, CPAC; Felipe Rosa Ramos, Cenargen; Madaí Cruz Lopes, UniCEUB; Daphne Heloisa Freitas Muniz; Rose Gomes Monnerat, Cenargen. |
Título: |
Acute toxicity and cytotoxicity of Bacillus thuringiensis and Bacillus sphaericus strains on fish and mouse bone marrow. |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
Ecotoxicology, London, 2008. |
Idioma: |
Inglês |
Palavras-Chave: |
Toxicidade. |
Thesagro: |
Bactéria. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00570naa a2200193 a 4500 001 1571663 005 2009-05-21 008 2008 bl --- 0-- u #d 100 1 $aGRISOLIA, C. K. 245 $aAcute toxicity and cytotoxicity of Bacillus thuringiensis and Bacillus sphaericus strains on fish and mouse bone marrow. 260 $c2008 650 $aBactéria 653 $aToxicidade 700 1 $aOLIVEIRA-FILHO, E. C. 700 1 $aRAMOS, F. R. 700 1 $aLOPES, M. C. 700 1 $aMUNIZ, D. H. F. 700 1 $aMONNERAT, R. G. 773 $tEcotoxicology, London, 2008.
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