|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Hortaliças. Para informações adicionais entre em contato com cnph.biblioteca@embrapa.br. |
Registro Completo |
Biblioteca(s): |
Embrapa Hortaliças. |
Data corrente: |
28/07/2003 |
Data da última atualização: |
28/07/2003 |
Autoria: |
FONTES, P. C. R. |
Título: |
Podridão apical do tomate, queima dos bordos das folhas de alface e depressão amarga dos frutos em maçã: deficiência de Ca. |
Ano de publicação: |
2003 |
Fonte/Imprenta: |
Horticultura Brasileira, Brasília, v. 21, n. 2, p. 145, abr./jun. 2003. |
Idioma: |
Português |
Palavras-Chave: |
Depressão amarga; Estresse; Queima dos bordos. |
Thesagro: |
Alface; Cálcio; Deficiência; Lactuca Sativa; Lycopersicon Esculentum; Nutriente; Podridão Apical; Tomate. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00732naa a2200241 a 4500 001 1774145 005 2003-07-28 008 2003 bl uuuu u00u1 u #d 100 1 $aFONTES, P. C. R. 245 $aPodridão apical do tomate, queima dos bordos das folhas de alface e depressão amarga dos frutos em maçã$bdeficiência de Ca. 260 $c2003 650 $aAlface 650 $aCálcio 650 $aDeficiência 650 $aLactuca Sativa 650 $aLycopersicon Esculentum 650 $aNutriente 650 $aPodridão Apical 650 $aTomate 653 $aDepressão amarga 653 $aEstresse 653 $aQueima dos bordos 773 $tHorticultura Brasileira, Brasília$gv. 21, n. 2, p. 145, abr./jun. 2003.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Hortaliças (CNPH) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
Registro Completo
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
21/03/2012 |
Data da última atualização: |
03/11/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
CARVALHO JUNIOR, W. de; CHAGAS, C. da S.; FERNANDES FILHO, E. I.; VIEIRA, C. A. O.; SCHAEFER, C. E. G.; BHERING, S. B.; FRANCELINO, M. R. |
Afiliação: |
WALDIR DE CARVALHO JUNIOR, CNPS; CESAR DA SILVA CHAGAS, CNPS; Elpídio Inácio Fernades Filho; Carlos Antônio Oliveira Vieira; Carlos Ernesto Gonçalves Schaefer; SILVIO BARGE BHERING, CNPS; Marcio Rocha Francelino. |
Título: |
Digital soilscape mapping of tropical hillslope areas by neural networks. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
Scientia Agricola, Piracicaba, v. 68, n. 6, p. 691-696, Nov./Dec. 2011. |
DOI: |
https://doi.org/10.1590/S0103-90162011000600014 |
Idioma: |
Inglês |
Conteúdo: |
Geomorphometric variables are applied in digital soil mapping because of their strong correlation with the disposition and distribution of pedological components of the landscapes. In this research, the relationship between environmental components of tropical hillslope areas in the Rio de Janeiro State, Brazil, artificial neural networks (ANN), and maximum likelihood algorithm (MaxLike) were evaluated with the aid of geoprocessing techniques. ANN and MaxLike were applied to soilscape mapping and the results were compared to the original map. The ANN architectures with seven and five neurons in the hidden layer produced the best classifications when using samples obtained systematically. When random samples were applied, the best neural net architectures were within 22 and 16 neurons in the hidden layer. In conclusion, the ANN can contribute to soilscape surveys, making map delineation faster and less expensive. The digital elevation model (DEM) and its derived attributes can contribute to the understanding of the soil-landscape relationship of tropical hillslope areas; the use of artificial neural networks and MaxLike is feasible for digital soilscape mapping. The systematic sampling method provided a global accuracy of 70 % and 65.9 % for the ANN and the MaxLike, respectively. When the random sampling method was applied, the ANN had a global accuracy of 69.6 %, and the MaxLike had an accuracy of 62.1 %, considering the total study area in relation to the reference map. |
Palavras-Chave: |
Atributos geomorfométricos; Mapeamento digital do solo; Modelo digital de elevação. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/63946/1/v68n6a14.pdf
|
Marc: |
LEADER 02301naa a2200241 a 4500 001 1919783 005 2021-11-03 008 2011 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1590/S0103-90162011000600014$2DOI 100 1 $aCARVALHO JUNIOR, W. de 245 $aDigital soilscape mapping of tropical hillslope areas by neural networks.$h[electronic resource] 260 $c2011 520 $aGeomorphometric variables are applied in digital soil mapping because of their strong correlation with the disposition and distribution of pedological components of the landscapes. In this research, the relationship between environmental components of tropical hillslope areas in the Rio de Janeiro State, Brazil, artificial neural networks (ANN), and maximum likelihood algorithm (MaxLike) were evaluated with the aid of geoprocessing techniques. ANN and MaxLike were applied to soilscape mapping and the results were compared to the original map. The ANN architectures with seven and five neurons in the hidden layer produced the best classifications when using samples obtained systematically. When random samples were applied, the best neural net architectures were within 22 and 16 neurons in the hidden layer. In conclusion, the ANN can contribute to soilscape surveys, making map delineation faster and less expensive. The digital elevation model (DEM) and its derived attributes can contribute to the understanding of the soil-landscape relationship of tropical hillslope areas; the use of artificial neural networks and MaxLike is feasible for digital soilscape mapping. The systematic sampling method provided a global accuracy of 70 % and 65.9 % for the ANN and the MaxLike, respectively. When the random sampling method was applied, the ANN had a global accuracy of 69.6 %, and the MaxLike had an accuracy of 62.1 %, considering the total study area in relation to the reference map. 653 $aAtributos geomorfométricos 653 $aMapeamento digital do solo 653 $aModelo digital de elevação 700 1 $aCHAGAS, C. da S. 700 1 $aFERNANDES FILHO, E. I. 700 1 $aVIEIRA, C. A. O. 700 1 $aSCHAEFER, C. E. G. 700 1 $aBHERING, S. B. 700 1 $aFRANCELINO, M. R. 773 $tScientia Agricola, Piracicaba$gv. 68, n. 6, p. 691-696, Nov./Dec. 2011.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Solos (CNPS) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Expressão de busca inválida. Verifique!!! |
|
|