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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
15/02/2013 |
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Data da última atualização: |
22/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
CORRÊA, J. L.; VISOLI, M. C. |
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Afiliação: |
JORGE LUIZ CORRÊA, CNPTIA; MARCOS CEZAR VISOLI, CNPTIA. |
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Título: |
Provendo recursos de processamento por meio de nuvem IaaS para subsidiar pesquisas agropecuárias. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: WORKSHOP INTERNACIONAL DE SOFTWARE LIVRE, 2012, Porto Alegre. Anais... [S.l.: s.n.], 2012. |
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Páginas: |
Não paginado. |
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Idioma: |
Português |
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Notas: |
WSL 2012. |
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Conteúdo: |
Resumo. Este artigo descreve a implementação de um cenário de nuvem computacional privada IaaS (Infrastructure as a Service), dentro de uma instituição de pesquisa agropecuária, utilizando o OpenStack. O trabalho discute as principais características de sistemas de nuvem computacional e da pilha de software OpenStack. Ainda, mostra dois estudos de caso da utilização do Juju para orquestração de serviços: construção de um cluster Hadoop e estabelecimento de um serviço web (blog Wordpress). De modo geral, discute como estas tecnologias tem sido utilizadas no auxílio a pesquisas agropecuárias. |
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Palavras-Chave: |
Ciência da computação; Cloud computing; Computação em nuvem; Nuvem computacional; Software OpenStack. |
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Thesagro: |
Tecnologia da Informação. |
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Thesaurus Nal: |
Computer science; Computer software; Information technology. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/76493/1/Artigo-WSL.pdf
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Marc: |
LEADER 01450nam a2200253 a 4500
001 1949531
005 2020-01-22
008 2012 bl uuuu u00u1 u #d
100 1 $aCORRÊA, J. L.
245 $aProvendo recursos de processamento por meio de nuvem IaaS para subsidiar pesquisas agropecuárias.$h[electronic resource]
260 $aIn: WORKSHOP INTERNACIONAL DE SOFTWARE LIVRE, 2012, Porto Alegre. Anais... [S.l.: s.n.]$c2012
300 $aNão paginado.
500 $aWSL 2012.
520 $aResumo. Este artigo descreve a implementação de um cenário de nuvem computacional privada IaaS (Infrastructure as a Service), dentro de uma instituição de pesquisa agropecuária, utilizando o OpenStack. O trabalho discute as principais características de sistemas de nuvem computacional e da pilha de software OpenStack. Ainda, mostra dois estudos de caso da utilização do Juju para orquestração de serviços: construção de um cluster Hadoop e estabelecimento de um serviço web (blog Wordpress). De modo geral, discute como estas tecnologias tem sido utilizadas no auxílio a pesquisas agropecuárias.
650 $aComputer science
650 $aComputer software
650 $aInformation technology
650 $aTecnologia da Informação
653 $aCiência da computação
653 $aCloud computing
653 $aComputação em nuvem
653 $aNuvem computacional
653 $aSoftware OpenStack
700 1 $aVISOLI, M. C.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Algodão. |
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Data corrente: |
20/09/2022 |
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Data da última atualização: |
20/09/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
OLIVEIRA, A. A. S.; ARAÚJO, T. A.; SHOWLER, A. T.; ARAÚJO, A. C. A.; ALMEIDA, I. S.; AGUIAR, R. S. A.; MIRANDA, J. E.; FERNANDES, F. L.; BASTOS, C. S. |
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Afiliação: |
ANDRÉA A. S. OLIVEIRA, UnB; TAMÍRIS A. ARAÚJO, UFSCar; ALLAN T. SHOWLER, USDA; ANA C. A. ARAÚJO, UnB; IGOR S. ALMEIDA, UnB; RENATA S. A. AGUIAR, UnB; JOSÉ EDNILSON MIRANDA, CNPA; FLÁVIO L. FERNANDES, UFV; CRISTINA S. BASTOS, UnB. |
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Título: |
Spatio-temporal distribution of Anthonomus grandis grandis Boh. in tropical cotton fields. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Pest Management Science, v. 78, n. 3, p. 2492-2501, 2022. |
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ISSN: |
1526-498x |
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DOI: |
10.1002/ps.6880 |
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Idioma: |
Inglês |
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Conteúdo: |
The boll weevil, Anthonomus grandis grandis Boheman (Coleoptera: Curculionidae), is considered to be the most harmful cotton, Gossypium hirsutum L., pest throughout subtropical, and tropical regions of the western hemisphere.1,2 Boll weevil damages cotton by feeding upon and laying eggs inside its reproductive structures, where hatched larvae feed and pupate,3,4 causing abscission or reduction of fiber quality,3,5,6 and economic losses of up to US$74 million per year.7 Boll weevil chemical control interventions are based on economic thresholds obtained by sampling the plants and for adult boll weevils captured in pheromone-baited traps.3,8,9 In order to develop an accurate monitoring and management program, estimates of population density are essential.10,11 Biotic and abiotic factors affect dynamics and within-field distribution (aggregated, random or uniform patterns) of insect populations.10,12 Knowing a pest's distribution within a field can help to: (1) develop site-specific sampling and control efforts; (2) predict pest movement; (3) improve insecticide-resistance management; (4) conserve biological control agents by precision targeting sprays for the infested areas; and (5) reduce the economic, social and environmental costs associated with pest control.10,11,13 The spatial distribution of boll weevils has been investigated using mean?variance relationships4,14 without considering within-field spatial density distribution, or has been based on pheromone-baited trap captures.15 The most accurate approach is the use of geostatistics because the position of the samples in space is accounted for.16 Recent work reported that geostatistics is of particular interest for pest management because it allows inferences about the minimum inter-sample distance needed to obtain independent estimations and indicates patterns of distribution and colonization of an organism, all of which are crucial for the development of effective sampling programs.11,13 The purpose of this study was to investigate the spatial dynamics of A. grandis grandis on cotton by determining within-field distribution of adults and infested reproductive structures (having feeding and/or oviposition punctures). MenosThe boll weevil, Anthonomus grandis grandis Boheman (Coleoptera: Curculionidae), is considered to be the most harmful cotton, Gossypium hirsutum L., pest throughout subtropical, and tropical regions of the western hemisphere.1,2 Boll weevil damages cotton by feeding upon and laying eggs inside its reproductive structures, where hatched larvae feed and pupate,3,4 causing abscission or reduction of fiber quality,3,5,6 and economic losses of up to US$74 million per year.7 Boll weevil chemical control interventions are based on economic thresholds obtained by sampling the plants and for adult boll weevils captured in pheromone-baited traps.3,8,9 In order to develop an accurate monitoring and management program, estimates of population density are essential.10,11 Biotic and abiotic factors affect dynamics and within-field distribution (aggregated, random or uniform patterns) of insect populations.10,12 Knowing a pest's distribution within a field can help to: (1) develop site-specific sampling and control efforts; (2) predict pest movement; (3) improve insecticide-resistance management; (4) conserve biological control agents by precision targeting sprays for the infested areas; and (5) reduce the economic, social and environmental costs associated with pest control.10,11,13 The spatial distribution of boll weevils has been investigated using mean?variance relationships4,14 without considering within-field spatial density distribution, or has been based on pheromone-baited trap ca... Mostrar Tudo |
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Palavras-Chave: |
Brócolis; Hortaliças; Sunflower; Sweet potato; Tomato. |
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Thesagro: |
Algodão; Alho; Anthonomus Grandis; Batata Doce; Bicudo; Cenoura; Clima Tropical; Couve; Entomologia; Estatística Agrícola; Girassol; Gossypium Hirsutum; Mandioca; Peste; Praga de Planta; Repolho; Tomate. |
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Thesaurus NAL: |
Anthonomus grandis grandis; Broccoli; Cabbage; Carrots; Cassava; Cotton; Entomology; Garlic; Geostatistics; Plant pests; Sunflower seed products; Sunflower seed protein; Tropical agriculture; Vegetables. |
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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/doc/1146623/1/SPATIO-TEMPORAL-DISTRIBUTION-ANTHONOMUS-1.pdf
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Marc: |
LEADER 03935naa a2200673 a 4500
001 2146623
005 2022-09-20
008 2022 bl uuuu u00u1 u #d
022 $a1526-498x
024 7 $a10.1002/ps.6880$2DOI
100 1 $aOLIVEIRA, A. A. S.
245 $aSpatio-temporal distribution of Anthonomus grandis grandis Boh. in tropical cotton fields.$h[electronic resource]
260 $c2022
520 $aThe boll weevil, Anthonomus grandis grandis Boheman (Coleoptera: Curculionidae), is considered to be the most harmful cotton, Gossypium hirsutum L., pest throughout subtropical, and tropical regions of the western hemisphere.1,2 Boll weevil damages cotton by feeding upon and laying eggs inside its reproductive structures, where hatched larvae feed and pupate,3,4 causing abscission or reduction of fiber quality,3,5,6 and economic losses of up to US$74 million per year.7 Boll weevil chemical control interventions are based on economic thresholds obtained by sampling the plants and for adult boll weevils captured in pheromone-baited traps.3,8,9 In order to develop an accurate monitoring and management program, estimates of population density are essential.10,11 Biotic and abiotic factors affect dynamics and within-field distribution (aggregated, random or uniform patterns) of insect populations.10,12 Knowing a pest's distribution within a field can help to: (1) develop site-specific sampling and control efforts; (2) predict pest movement; (3) improve insecticide-resistance management; (4) conserve biological control agents by precision targeting sprays for the infested areas; and (5) reduce the economic, social and environmental costs associated with pest control.10,11,13 The spatial distribution of boll weevils has been investigated using mean?variance relationships4,14 without considering within-field spatial density distribution, or has been based on pheromone-baited trap captures.15 The most accurate approach is the use of geostatistics because the position of the samples in space is accounted for.16 Recent work reported that geostatistics is of particular interest for pest management because it allows inferences about the minimum inter-sample distance needed to obtain independent estimations and indicates patterns of distribution and colonization of an organism, all of which are crucial for the development of effective sampling programs.11,13 The purpose of this study was to investigate the spatial dynamics of A. grandis grandis on cotton by determining within-field distribution of adults and infested reproductive structures (having feeding and/or oviposition punctures).
650 $aAnthonomus grandis grandis
650 $aBroccoli
650 $aCabbage
650 $aCarrots
650 $aCassava
650 $aCotton
650 $aEntomology
650 $aGarlic
650 $aGeostatistics
650 $aPlant pests
650 $aSunflower seed products
650 $aSunflower seed protein
650 $aTropical agriculture
650 $aVegetables
650 $aAlgodão
650 $aAlho
650 $aAnthonomus Grandis
650 $aBatata Doce
650 $aBicudo
650 $aCenoura
650 $aClima Tropical
650 $aCouve
650 $aEntomologia
650 $aEstatística Agrícola
650 $aGirassol
650 $aGossypium Hirsutum
650 $aMandioca
650 $aPeste
650 $aPraga de Planta
650 $aRepolho
650 $aTomate
653 $aBrócolis
653 $aHortaliças
653 $aSunflower
653 $aSweet potato
653 $aTomato
700 1 $aARAÚJO, T. A.
700 1 $aSHOWLER, A. T.
700 1 $aARAÚJO, A. C. A.
700 1 $aALMEIDA, I. S.
700 1 $aAGUIAR, R. S. A.
700 1 $aMIRANDA, J. E.
700 1 $aFERNANDES, F. L.
700 1 $aBASTOS, C. S.
773 $tPest Management Science$gv. 78, n. 3, p. 2492-2501, 2022.
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Registro original: |
Embrapa Algodão (CNPA) |
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