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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
07/01/2020 |
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Data da última atualização: |
08/01/2020 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
COSTA, W. A. da; LIMA, C. E. P. de; SOUSA, S. H. B. de; OLIVEIRA, M. S. de; BEZERRA, F. W. F.; CRUZ, J. N. da; SILVA, S. G.; CORDEIRO, R. M.; RODRIGUES, C. C.; CARVALHO, A. R. B. de; BEZERRA, P. do N.; SARGES, P. A. de A.; PEREIRA, D. S.; SOUZA FILHO, A. P. da S.; CARVALHO JUNIOR, R. N. de. |
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Afiliação: |
Wanessa Almeida da Costa; Cinthya Elen Pereira de Lima; Sérgio Henrique Brabo de Sousa; Mozaniel Santana de Oliveira; Fernanda Wariss Figueiredo Bezerra; Jorddy Neves da Cruz; Sebastião Gomes Silva; Renato Macedo Cordeiro; Cintya Cordovil Rodrigues; Antônio Robson Batista de Carvalho; Priscila do Nascimento Bezerra; Pedro Alam de Araújo Sarges; DANIEL SANTIAGO PEREIRA, CPATU; ANTONIO PEDRO DA SILVA SOUZA FILHO, CPATU; Raul Nunes de Carvalho Junior. |
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Título: |
Invasive Species in the Amazon. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
In: SAHU, S. C. (Ed.). Diversity and ecology of invasive plants. [S.l.]: IntechOpen, 2019. |
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Páginas: |
Cap. 2. |
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Idioma: |
Inglês |
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Conteúdo: |
One of the main reasons for environmental disturbances such as declination in pasture productivity and biodiversity losses is the high infestation of herbaceous weeds, generally referred to as ?Juquira? in the Amazon region. If they are not adequately controlled, such infestation might lead to degradation of pasture, resulting in complete loss of productivity and subsequent abandonment of the area. In this sense, this chapter aims to describe the main invasive species present in the Amazon region, as well as to characterize both the old and innovative techniques of use in agriculture, in large and small scale, for the control of agricultural pests. |
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Palavras-Chave: |
Controle; Planta daninha. |
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Thesagro: |
Agricultura; Infestação. |
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Thesaurus Nal: |
Agriculture; Amazonia; Weed control. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/208314/1/65904.pdf
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Marc: |
LEADER 01730naa a2200385 a 4500
001 2118325
005 2020-01-08
008 2019 bl uuuu u00u1 u #d
100 1 $aCOSTA, W. A. da
245 $aInvasive Species in the Amazon.$h[electronic resource]
260 $c2019
300 $aCap. 2.
520 $aOne of the main reasons for environmental disturbances such as declination in pasture productivity and biodiversity losses is the high infestation of herbaceous weeds, generally referred to as ?Juquira? in the Amazon region. If they are not adequately controlled, such infestation might lead to degradation of pasture, resulting in complete loss of productivity and subsequent abandonment of the area. In this sense, this chapter aims to describe the main invasive species present in the Amazon region, as well as to characterize both the old and innovative techniques of use in agriculture, in large and small scale, for the control of agricultural pests.
650 $aAgriculture
650 $aAmazonia
650 $aWeed control
650 $aAgricultura
650 $aInfestação
653 $aControle
653 $aPlanta daninha
700 1 $aLIMA, C. E. P. de
700 1 $aSOUSA, S. H. B. de
700 1 $aOLIVEIRA, M. S. de
700 1 $aBEZERRA, F. W. F.
700 1 $aCRUZ, J. N. da
700 1 $aSILVA, S. G.
700 1 $aCORDEIRO, R. M.
700 1 $aRODRIGUES, C. C.
700 1 $aCARVALHO, A. R. B. de
700 1 $aBEZERRA, P. do N.
700 1 $aSARGES, P. A. de A.
700 1 $aPEREIRA, D. S.
700 1 $aSOUZA FILHO, A. P. da S.
700 1 $aCARVALHO JUNIOR, R. N. de
773 $tIn: SAHU, S. C. (Ed.). Diversity and ecology of invasive plants. [S.l.]: IntechOpen, 2019.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sul. Para informações adicionais entre em contato com cppsul.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sul. |
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Data corrente: |
03/02/2021 |
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Data da última atualização: |
03/02/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FERREIRA, J. S. de A.; FERREIRA, A. P. L.; PEREZ, N. B. |
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Afiliação: |
Jean Samarone de Almeida Ferreira, UNIPAMPA; Ana Paula Lüdtke Ferreira, UNIPAMPA; NAYLOR BASTIANI PEREZ, CPPSUL. |
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Título: |
A hidden Markov chain approach to crop yield forecasting. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
International Journal on Computer Science and Information Systems, v. 15, n. 2, p. 148-160, 2020. |
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ISSN: |
1646-3692 |
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Idioma: |
Inglês |
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Conteúdo: |
Prediction of harvest yield is an important and challenging problem. Attempts to solve this problem rely usually rely on regression techniques highly dependent on local factors. This paper presents a hidden Markov model approach for forecasting weight production. The model can deal with any culture or provided data. Results show that the model can capture both spatial and temporal harvest variability. Model analysis can help determine causes of variability, differently from regression or more straightforward Markov chain approaches. The resulting structure can benefit from statistical techniques for model tuning and model fitting. |
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Palavras-Chave: |
Cadeia de Markov. |
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Thesagro: |
Agricultura de Precisão; Colheita. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01236naa a2200193 a 4500
001 2129773
005 2021-02-03
008 2020 bl uuuu u00u1 u #d
022 $a1646-3692
100 1 $aFERREIRA, J. S. de A.
245 $aA hidden Markov chain approach to crop yield forecasting.$h[electronic resource]
260 $c2020
520 $aPrediction of harvest yield is an important and challenging problem. Attempts to solve this problem rely usually rely on regression techniques highly dependent on local factors. This paper presents a hidden Markov model approach for forecasting weight production. The model can deal with any culture or provided data. Results show that the model can capture both spatial and temporal harvest variability. Model analysis can help determine causes of variability, differently from regression or more straightforward Markov chain approaches. The resulting structure can benefit from statistical techniques for model tuning and model fitting.
650 $aAgricultura de Precisão
650 $aColheita
653 $aCadeia de Markov
700 1 $aFERREIRA, A. P. L.
700 1 $aPEREZ, N. B.
773 $tInternational Journal on Computer Science and Information Systems$gv. 15, n. 2, p. 148-160, 2020.
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Embrapa Pecuária Sul (CPPSUL) |
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