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Registro Completo |
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Biblioteca(s): |
Embrapa Agroindústria de Alimentos; Embrapa Hortaliças. |
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Data corrente: |
23/09/2009 |
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Data da última atualização: |
24/11/2010 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SILVA, E.; RANGEL, C.; ASCHERI, J.; WATANABE, E.; SILVA, J.; FUKUDA, W.; CARVALHO, J.; NUTTI, M.; SALVADOR, L. |
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Afiliação: |
João Bosco Carvalho e Silva, Embrapa Hortaliças; E. Silva, Universidade Federal do Rio de Janeiro; C. Rangel, Universidade Federal do Rio de Janeiro; L. Salvador, Universidade Federal do Rio de Janeiro; J. Ascheri, Embrapa Tecnologias de Alimentos; E. Watanabe, Embrapa Tecnologia de Alimentos; J. Carvalho, Embrapa Tecnologia de Alimentos; M. Nutti, Embrapa Tecnologia de Alimentos; W. Fukuda, Embrapa Mandioca e Fruticultura. |
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Título: |
Development of cassava (Manihot esculenta, L.) and orange flesh sweet potato (Ipomoea batatas, L.) products: an application for biofortified crops. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: INTERNATIONAL MEETING OF THE MICRONUTRIENT FORUM, 2., 2009, Beijing, China. Micronutrients, health and development: evidence-based programs: program/abstracts. Washington, DC: USAID: Academy for Educational Development, 2009. |
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Páginas: |
p. 108 |
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Descrição Física: |
CD-ROM. |
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Idioma: |
Inglês |
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Notas: |
TH31. |
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Palavras-Chave: |
Batata-doce; Biofortificação. |
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Thesagro: |
Extrusão; Ipomoea batatas; Mandioca; Manihot esculenta; Nutrição; Processamento. |
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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/23699/1/silvadevelopment.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/83772/1/2009-011.pdf
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Marc: |
LEADER 01068nam a2200313 a 4500
001 1782715
005 2010-11-24
008 2009 bl uuuu u00u1 u #d
100 1 $aSILVA, E.
245 $aDevelopment of cassava (Manihot esculenta, L.) and orange flesh sweet potato (Ipomoea batatas, L.) products$ban application for biofortified crops.
260 $aIn: INTERNATIONAL MEETING OF THE MICRONUTRIENT FORUM, 2., 2009, Beijing, China. Micronutrients, health and development: evidence-based programs: program/abstracts. Washington, DC: USAID: Academy for Educational Development$c2009
300 $ap. 108$cCD-ROM.
500 $aTH31.
650 $aExtrusão
650 $aIpomoea batatas
650 $aMandioca
650 $aManihot esculenta
650 $aNutrição
650 $aProcessamento
653 $aBatata-doce
653 $aBiofortificação
700 1 $aRANGEL, C.
700 1 $aASCHERI, J.
700 1 $aWATANABE, E.
700 1 $aSILVA, J.
700 1 $aFUKUDA, W.
700 1 $aCARVALHO, J.
700 1 $aNUTTI, M.
700 1 $aSALVADOR, L.
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Registro original: |
Embrapa Hortaliças (CNPH) |
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Biblioteca |
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Origem |
Tipo/Formato |
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Registro |
Volume |
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URL |
Voltar
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
08/12/2021 |
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Data da última atualização: |
08/12/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
FAVA, M. C.; BENSO, M. R.; DELBEM, A. C. B.; SILVA, R. F. da; MENDIONDO, E. M.; PADOVANI, C. R.; GESUALDO, G. C.; SARAIVA, A. M. |
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Afiliação: |
MARIA CLARA FAVA, Federal University of Viçosa (UFV); MARCOS ROBERTO BENSO, University of São Paulo (USP); ALEXANDRE CLÁUDIO BOTAZZO DELBEM, University of São Paulo (USP); ROBERTO FRAY DA SILVA, University of São Paulo (USP); EDUARDO MARIO MENDIONDO, University of São Paulo (USP); CARLOS ROBERTO PADOVANI, CPAP; GABRIELA CHIQUITO GESUALDO, University of São Paulo (USP); ANTONIO MAURO SARAIVA, University of São Paulo (USP). |
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Título: |
Automatic spatial rainfall estimation on limited coverage areas. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY, 3., 2021, Trento-Bolzano. Proceedings... [S.l.]: IEEE, 2021. |
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Páginas: |
p. 232-237. |
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Idioma: |
Português |
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Notas: |
MetroAgriFor 2021. |
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Conteúdo: |
Abstract: Providing accurate rainfall estimation at limited coverage areas is challenging, especially when considering the lack of weather stations maintenance and the existence of missing or incorrect data. Another source of uncertainty related to in situ stations is the need to extrapolate the measures for spatial applications. The Inverse Distance Weighted (IDW) method has been widely used to interpolate rainfall data. When using this method, two hyperparameters need to be defined, the radius of influence and the power factor. However, there are no reference values for these variables in literature for different applications because these are directly related to local features. This study proposes a framework that automatically calculates the rainfall interpolation using IDW and a cross-validation method to find its optimal hyperparameters. It can be directly implemented on any rainfall dataset, regardless of: (i) the amount of data available; (ii) the quality of the area coverage (station density); (iii) the number of weather stations; and (iv) the existence of missing values. Cross-validation is performed for each timestep to consider all the available data for all stations. The method and its symmetric mean absolute percentage error (sMAPE) were evaluated in a case study for the Pantanal Region in Brazil. |
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Thesagro: |
Simulador de Chuva. |
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Thesaurus NAL: |
Estimation; Prediction; Rainfall simulation. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02164nam a2200265 a 4500
001 2137346
005 2021-12-08
008 2021 bl uuuu u00u1 u #d
100 1 $aFAVA, M. C.
245 $aAutomatic spatial rainfall estimation on limited coverage areas.$h[electronic resource]
260 $aIn: IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY, 3., 2021, Trento-Bolzano. Proceedings... [S.l.]: IEEE$c2021
300 $ap. 232-237.
500 $aMetroAgriFor 2021.
520 $aAbstract: Providing accurate rainfall estimation at limited coverage areas is challenging, especially when considering the lack of weather stations maintenance and the existence of missing or incorrect data. Another source of uncertainty related to in situ stations is the need to extrapolate the measures for spatial applications. The Inverse Distance Weighted (IDW) method has been widely used to interpolate rainfall data. When using this method, two hyperparameters need to be defined, the radius of influence and the power factor. However, there are no reference values for these variables in literature for different applications because these are directly related to local features. This study proposes a framework that automatically calculates the rainfall interpolation using IDW and a cross-validation method to find its optimal hyperparameters. It can be directly implemented on any rainfall dataset, regardless of: (i) the amount of data available; (ii) the quality of the area coverage (station density); (iii) the number of weather stations; and (iv) the existence of missing values. Cross-validation is performed for each timestep to consider all the available data for all stations. The method and its symmetric mean absolute percentage error (sMAPE) were evaluated in a case study for the Pantanal Region in Brazil.
650 $aEstimation
650 $aPrediction
650 $aRainfall simulation
650 $aSimulador de Chuva
700 1 $aBENSO, M. R.
700 1 $aDELBEM, A. C. B.
700 1 $aSILVA, R. F. da
700 1 $aMENDIONDO, E. M.
700 1 $aPADOVANI, C. R.
700 1 $aGESUALDO, G. C.
700 1 $aSARAIVA, A. M.
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Registro original: |
Embrapa Pantanal (CPAP) |
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