| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Amazônia Oriental. |
|
Data corrente: |
06/09/2019 |
|
Data da última atualização: |
23/01/2020 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
APARECIDO, L. E. de O.; MORAES, J. R. da S. C. de; ROLIM, G. de S.; MARTORANO, L. G.; MENESES, K. C. de; VALERIANO, T. T. B. |
|
Afiliação: |
Lucas Eduardo de Oliveira Aparecido, IFMS; José Reinaldo da Silva Cabral de Moraes, UNESP; Glauco de Souza Rolim, UNESP; LUCIETA GUERREIRO MARTORANO, CPATU; Kamila Cunha de Meneses, UNESP; Taynara Tuany Borges Valeriano, UNESP. |
|
Título: |
Neural networks in climate spatialization and their application in the agricultural zoning of climate risk for sunflower in different sowing dates. |
|
Ano de publicação: |
2019 |
|
Fonte/Imprenta: |
Archives of Agronomy and Soil Science, v. 65, n. 11, p. 1477-1492, 2019. |
|
DOI: |
10.1080/03650340.2019.1566715 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Sunflower is a species that is sensitive to local climate conditions. However, studies that use artificial neural networks (ANNs) to evaluate this influence and create tools such as agricultural zoning of climate risk (ZARC) have not been conducted for this species. Due to the importance of sunflower as a human food source and for biodiesel production, and also the necessity of conducting research to evaluate the suitability of this oleaginous species under different climatic conditions. Thus, we seek to construct a ZARC for sunflower in Brazil simulating sowing on different dates and using meteorological elements spatialized by ANNs. Climate data were used: air temperature (T), rainfall (P), relative air humidity (UR), solar radiation (MJ_m−2_d−1) and wind velocity (U2). Climatic regions considered suitable for the cultivation of sunflower had average annual values for T between 20 and 28°C, P between 500 and 1.500 mm per cycle, and soil water deficit (DEF) below 140 mm per cycle. A neural network is an efficient tool that can be used in spatialization of climate variables quickly and accurately. Sunflower sowing in the spring and summer are the ones that provide the largest suitable areas in southeastern Brazil, with 58.13 and 64.36% of suitable areas, respectively |
|
Thesagro: |
Clima; Girassol; Zoneamento Agrícola. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
LEADER 02087naa a2200229 a 4500
001 2112016
005 2020-01-23
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1080/03650340.2019.1566715$2DOI
100 1 $aAPARECIDO, L. E. de O.
245 $aNeural networks in climate spatialization and their application in the agricultural zoning of climate risk for sunflower in different sowing dates.$h[electronic resource]
260 $c2019
520 $aSunflower is a species that is sensitive to local climate conditions. However, studies that use artificial neural networks (ANNs) to evaluate this influence and create tools such as agricultural zoning of climate risk (ZARC) have not been conducted for this species. Due to the importance of sunflower as a human food source and for biodiesel production, and also the necessity of conducting research to evaluate the suitability of this oleaginous species under different climatic conditions. Thus, we seek to construct a ZARC for sunflower in Brazil simulating sowing on different dates and using meteorological elements spatialized by ANNs. Climate data were used: air temperature (T), rainfall (P), relative air humidity (UR), solar radiation (MJ_m−2_d−1) and wind velocity (U2). Climatic regions considered suitable for the cultivation of sunflower had average annual values for T between 20 and 28°C, P between 500 and 1.500 mm per cycle, and soil water deficit (DEF) below 140 mm per cycle. A neural network is an efficient tool that can be used in spatialization of climate variables quickly and accurately. Sunflower sowing in the spring and summer are the ones that provide the largest suitable areas in southeastern Brazil, with 58.13 and 64.36% of suitable areas, respectively
650 $aClima
650 $aGirassol
650 $aZoneamento Agrícola
700 1 $aMORAES, J. R. da S. C. de
700 1 $aROLIM, G. de S.
700 1 $aMARTORANO, L. G.
700 1 $aMENESES, K. C. de
700 1 $aVALERIANO, T. T. B.
773 $tArchives of Agronomy and Soil Science$gv. 65, n. 11, p. 1477-1492, 2019.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Amazônia Oriental (CPATU) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Trigo. Para informações adicionais entre em contato com cnpt.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Trigo. |
|
Data corrente: |
10/03/2015 |
|
Data da última atualização: |
10/03/2015 |
|
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
|
Autoria: |
ALVES, R. C. |
|
Afiliação: |
ROSANGELA COSTA ALVES, CPACT. |
|
Título: |
Atitudes empreendedoras que auxiliam o agricultor familiar na agregação de valor e na diversificação da unidade produtiva. |
|
Ano de publicação: |
2012 |
|
Fonte/Imprenta: |
In: GUARIENTI, E. M.; TIBOLA, C. S.; ALVES, R. C. Produção artesanal de pães, cucas, bolos e bolachas. Brasília, DF: Embrapa, 2012. Cap. 5, p. 59-65. |
|
Idioma: |
Português |
|
Thesagro: |
Agricultura Familiar. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 00522naa a2200121 a 4500
001 2011029
005 2015-03-10
008 2012 bl uuuu u00u1 u #d
100 1 $aALVES, R. C.
245 $aAtitudes empreendedoras que auxiliam o agricultor familiar na agregação de valor e na diversificação da unidade produtiva.
260 $c2012
650 $aAgricultura Familiar
773 $tIn: GUARIENTI, E. M.; TIBOLA, C. S.; ALVES, R. C. Produção artesanal de pães, cucas, bolos e bolachas. Brasília, DF: Embrapa, 2012. Cap. 5, p. 59-65.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Trigo (CNPT) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
