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Registro Completo |
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Biblioteca(s): |
Embrapa Agrobiologia; Embrapa Agroindústria Tropical; Embrapa Agropecuária Oeste; Embrapa Amapá; Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental; Embrapa Meio-Norte; Embrapa Rondônia; Embrapa Soja; Embrapa Unidades Centrais. |
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Data corrente: |
10/06/2003 |
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Data da última atualização: |
21/02/2014 |
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Tipo da produção científica: |
Documentos |
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Autoria: |
CASTRO, A. W. V. de. |
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Afiliação: |
ALBERTO WILLIAM VIANA DE CASTRO, CPATU. |
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Título: |
Atividades da Área de Negócios Tecnológicos da Embrapa Amazônia Oriental em 1999. |
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Ano de publicação: |
2001 |
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Fonte/Imprenta: |
Belém, PA: Embrapa Amazônia Oriental, 2001. |
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Páginas: |
25 p. |
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Série: |
(Embrapa Amazônia Oriental. Documentos, 108). |
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Idioma: |
Português |
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Conteúdo: |
Missao da Embrapa Amazonia Oriental; Transferencia de Tecnologia na Embrapa Amazonia Oriental; Incubacao de Empreendimentos de Tecnologia Agropecuaria pela Embrapa na Amazonia; Como funciona a parceria Embrapa/Piebt/Fcap/Empresas associadas; Processo de selecao; Custos envolvidos; Empreendimentos potenciais; Demandas. |
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Palavras-Chave: |
Agropecuária; Belém; Brasil; Desenvolvimento; Embrapa Amarônia Oriental; Inovacao - Brasil - Amazonia - Incubacao - Empreendimento; Inovação tecnológica; Pará; Pesqiusa Agropecuaria; Pesquisa Agropecuária; Transferênia de tecnologia. |
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Thesagro: |
Agricultura; Inovação; Instituição de Pesquisa; Pesquisa; Pesquisa Agrícola; Tecnologia; Transferência de Tecnologia. |
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Thesaurus Nal: |
Amazonia; research. |
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Categoria do assunto: |
-- |
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URL: |
https://www.infoteca.cnptia.embrapa.br/infoteca/bitstream/doc/402955/1/OrientalDoc108.PDF
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Marc: |
LEADER 01430nam a2200373 a 4500
001 1402955
005 2014-02-21
008 2001 bl uuuu u0uu1 u #d
100 1 $aCASTRO, A. W. V. de
245 $aAtividades da Área de Negócios Tecnológicos da Embrapa Amazônia Oriental em 1999.
260 $aBelém, PA: Embrapa Amazônia Oriental$c2001
300 $a25 p.
490 $a(Embrapa Amazônia Oriental. Documentos, 108).
520 $aMissao da Embrapa Amazonia Oriental; Transferencia de Tecnologia na Embrapa Amazonia Oriental; Incubacao de Empreendimentos de Tecnologia Agropecuaria pela Embrapa na Amazonia; Como funciona a parceria Embrapa/Piebt/Fcap/Empresas associadas; Processo de selecao; Custos envolvidos; Empreendimentos potenciais; Demandas.
650 $aAmazonia
650 $aresearch
650 $aAgricultura
650 $aInovação
650 $aInstituição de Pesquisa
650 $aPesquisa
650 $aPesquisa Agrícola
650 $aTecnologia
650 $aTransferência de Tecnologia
653 $aAgropecuária
653 $aBelém
653 $aBrasil
653 $aDesenvolvimento
653 $aEmbrapa Amarônia Oriental
653 $aInovacao - Brasil - Amazonia - Incubacao - Empreendimento
653 $aInovação tecnológica
653 $aPará
653 $aPesqiusa Agropecuaria
653 $aPesquisa Agropecuária
653 $aTransferênia de tecnologia
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
06/11/2012 |
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Data da última atualização: |
27/02/2013 |
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Autoria: |
VASQUES, G. de M.; DEMATTE, J. A. M.; LOPEZ, L. R.; TERRA, F. da S. |
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Afiliação: |
GUSTAVO DE MATTOS VASQUES, CNPS; José Alexandre Melo Dematte, Universidade de São Paulo; Leonardo Ramirez Lopez, Geographisches Institut, Universität Tübingen, Rümelinstraße; Fabrício da Silva Terra, Universidade de São Paulo. |
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Título: |
Soil classification from visible/near-infrared diffuse reflectance spectra at multiple depths. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 33., 2011, Uberlândia. Solos nos biomas brasileiros: sustentabilidade e mudanças climáticas: anais. Uberlândia: SBCS: UFU: ICIAG, 2011. 1 CD-ROM. |
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Páginas: |
4 p. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract : Visible/near-infrared diffuse reflectance spectroscopy (VNIRS) offers an alternative to conventional analytical methods to estimate various soil attributes. However, the use of VNIRS in soil survey and taxonomic classification is still underexplored. We investigated the potential use of VNIRS to classify soils in a region with variable soils, geology, and topography in southeastern Brazil. We combined principal component (PC) analysis, and multinomial logistic regression to classify 291 soils at the levels of suborder (second highest), and suborder with textural classification (STC), described in the field according to the Brazilian Soil Classification System. Soil visible/near-infrared (400-2500 nm) spectra were collected from three depth intervals (0-20, 40-60, and 80-100 cm), and combined in sequence to compose a pseudo multi-depth spectral curve, which was used to derive the classification models. The percent of correctly classified soils at the suborder level was 79% using 20 PCs, and 96% using 30 PCs. At the STC level, soils were correctly classified in 100%, and 78% of the cases using 20, and 30 PCs, respectively. Given the inherent complexity and variability within soil taxonomic groups, and in contrast the similarity among different groups, combining spectral data from different depths in multivariate classification offered a simple and inexpensive solution to adequately distinguish soils. This novel approach could improve soil classification and survey in a cost-efficient manner, supporting sustainable use, and management of tropical soils. MenosAbstract : Visible/near-infrared diffuse reflectance spectroscopy (VNIRS) offers an alternative to conventional analytical methods to estimate various soil attributes. However, the use of VNIRS in soil survey and taxonomic classification is still underexplored. We investigated the potential use of VNIRS to classify soils in a region with variable soils, geology, and topography in southeastern Brazil. We combined principal component (PC) analysis, and multinomial logistic regression to classify 291 soils at the levels of suborder (second highest), and suborder with textural classification (STC), described in the field according to the Brazilian Soil Classification System. Soil visible/near-infrared (400-2500 nm) spectra were collected from three depth intervals (0-20, 40-60, and 80-100 cm), and combined in sequence to compose a pseudo multi-depth spectral curve, which was used to derive the classification models. The percent of correctly classified soils at the suborder level was 79% using 20 PCs, and 96% using 30 PCs. At the STC level, soils were correctly classified in 100%, and 78% of the cases using 20, and 30 PCs, respectively. Given the inherent complexity and variability within soil taxonomic groups, and in contrast the similarity among different groups, combining spectral data from different depths in multivariate classification offered a simple and inexpensive solution to adequately distinguish soils. This novel approach could improve soil classification and survey i... Mostrar Tudo |
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Palavras-Chave: |
Multivariate classification; Pedometrics. |
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Thesaurus NAL: |
spectroscopy. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/939003/1/soilclassificationfronvisiblenearinfrared....PDF
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Marc: |
LEADER 02329nam a2200193 a 4500
001 1939003
005 2013-02-27
008 2011 bl uuuu u00u1 u #d
100 1 $aVASQUES, G. de M.
245 $aSoil classification from visible/near-infrared diffuse reflectance spectra at multiple depths.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 33., 2011, Uberlândia. Solos nos biomas brasileiros: sustentabilidade e mudanças climáticas: anais. Uberlândia: SBCS: UFU: ICIAG, 2011. 1 CD-ROM.$c2011
300 $a4 p.
520 $aAbstract : Visible/near-infrared diffuse reflectance spectroscopy (VNIRS) offers an alternative to conventional analytical methods to estimate various soil attributes. However, the use of VNIRS in soil survey and taxonomic classification is still underexplored. We investigated the potential use of VNIRS to classify soils in a region with variable soils, geology, and topography in southeastern Brazil. We combined principal component (PC) analysis, and multinomial logistic regression to classify 291 soils at the levels of suborder (second highest), and suborder with textural classification (STC), described in the field according to the Brazilian Soil Classification System. Soil visible/near-infrared (400-2500 nm) spectra were collected from three depth intervals (0-20, 40-60, and 80-100 cm), and combined in sequence to compose a pseudo multi-depth spectral curve, which was used to derive the classification models. The percent of correctly classified soils at the suborder level was 79% using 20 PCs, and 96% using 30 PCs. At the STC level, soils were correctly classified in 100%, and 78% of the cases using 20, and 30 PCs, respectively. Given the inherent complexity and variability within soil taxonomic groups, and in contrast the similarity among different groups, combining spectral data from different depths in multivariate classification offered a simple and inexpensive solution to adequately distinguish soils. This novel approach could improve soil classification and survey in a cost-efficient manner, supporting sustainable use, and management of tropical soils.
650 $aspectroscopy
653 $aMultivariate classification
653 $aPedometrics
700 1 $aDEMATTE, J. A. M.
700 1 $aLOPEZ, L. R.
700 1 $aTERRA, F. da S.
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Registro original: |
Embrapa Solos (CNPS) |
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