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![](/consulta/web/img/deny.png) | Acesso ao texto completo restrito à biblioteca da Embrapa Unidades Centrais. Para informações adicionais entre em contato com biblioteca@embrapa.br. |
Registro Completo |
Biblioteca(s): |
Embrapa Unidades Centrais. |
Data corrente: |
09/01/2018 |
Data da última atualização: |
09/01/2018 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
MARTHA JUNIOR, G. B.; ALVES, E. |
Afiliação: |
GERALDO BUENO MARTHA JUNIOR, SRI; ELISEU ROBERTO DE ANDRADE ALVES, DE/PR. |
Título: |
The role and impact of public research and technology transfer in brazilian agriculture. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
In: KALAITZANDONAKES, N.; CARAYANNIS, E.G.; GRIGOROUDIS, E.; ROZAKIS, S. (Ed.). From agriscience to agribusiness: theories, policies and practices in technology transfer and commercialization. Washington: Springer, 2018. p. 429-444. |
Idioma: |
Inglês |
Conteúdo: |
The public sector played a pivotal role in transforming a traditional agriculture in Brazil into a modern one by leading the agricultural research and development (R&D) network in the country and by providing the majority of funds to R&D activities. The spillover effects arising from agricultural R&D were not restricted to the primary sector. A vibrant agricultural sector creates sizable markets for industrial and service sectors if they can deliver quality products at competitive prices. More broadly, the success of this science-based agriculture in Brazil provided the means for ample improvements in food and nutritional security; expanded opportunities for employment and income generation in agricultural (and associated) value chains; a more positive balance of trade; and a substantial attenuation of inflationary pressures. In the coming decades, the value of Brazilian agriculture to society will eventually be even bigger, as the so-called bio-economy gets strengthened. However, it is imperative to encourage a more intense engagement of the private sector in agricultural R&D activities in Brazil. Successful technological scaling-up will depend upon multi-stakeholder approaches. Knowledge exchange, capacity development and strengthening, technology transfer, extension services, and well-functioning input and market chains, to minimize detrimental effects of market imperfections on technology adoption, are key components to foster the adoption of technologies. In particular, a more widespread and inclusiveness technological adoption in Brazilian agriculture will depend on successful approaches to minimize market imperfections' effects. MenosThe public sector played a pivotal role in transforming a traditional agriculture in Brazil into a modern one by leading the agricultural research and development (R&D) network in the country and by providing the majority of funds to R&D activities. The spillover effects arising from agricultural R&D were not restricted to the primary sector. A vibrant agricultural sector creates sizable markets for industrial and service sectors if they can deliver quality products at competitive prices. More broadly, the success of this science-based agriculture in Brazil provided the means for ample improvements in food and nutritional security; expanded opportunities for employment and income generation in agricultural (and associated) value chains; a more positive balance of trade; and a substantial attenuation of inflationary pressures. In the coming decades, the value of Brazilian agriculture to society will eventually be even bigger, as the so-called bio-economy gets strengthened. However, it is imperative to encourage a more intense engagement of the private sector in agricultural R&D activities in Brazil. Successful technological scaling-up will depend upon multi-stakeholder approaches. Knowledge exchange, capacity development and strengthening, technology transfer, extension services, and well-functioning input and market chains, to minimize detrimental effects of market imperfections on technology adoption, are key components to foster the adoption of technologies. In particular,... Mostrar Tudo |
Thesagro: |
Desenvolvimento Agrícola; Pesquisa agrícola; Setor público; Transferência de tecnologia. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02416naa a2200181 a 4500 001 2084619 005 2018-01-09 008 2018 bl uuuu u00u1 u #d 100 1 $aMARTHA JUNIOR, G. B. 245 $aThe role and impact of public research and technology transfer in brazilian agriculture.$h[electronic resource] 260 $c2018 520 $aThe public sector played a pivotal role in transforming a traditional agriculture in Brazil into a modern one by leading the agricultural research and development (R&D) network in the country and by providing the majority of funds to R&D activities. The spillover effects arising from agricultural R&D were not restricted to the primary sector. A vibrant agricultural sector creates sizable markets for industrial and service sectors if they can deliver quality products at competitive prices. More broadly, the success of this science-based agriculture in Brazil provided the means for ample improvements in food and nutritional security; expanded opportunities for employment and income generation in agricultural (and associated) value chains; a more positive balance of trade; and a substantial attenuation of inflationary pressures. In the coming decades, the value of Brazilian agriculture to society will eventually be even bigger, as the so-called bio-economy gets strengthened. However, it is imperative to encourage a more intense engagement of the private sector in agricultural R&D activities in Brazil. Successful technological scaling-up will depend upon multi-stakeholder approaches. Knowledge exchange, capacity development and strengthening, technology transfer, extension services, and well-functioning input and market chains, to minimize detrimental effects of market imperfections on technology adoption, are key components to foster the adoption of technologies. In particular, a more widespread and inclusiveness technological adoption in Brazilian agriculture will depend on successful approaches to minimize market imperfections' effects. 650 $aDesenvolvimento Agrícola 650 $aPesquisa agrícola 650 $aSetor público 650 $aTransferência de tecnologia 700 1 $aALVES, E. 773 $tIn: KALAITZANDONAKES, N.; CARAYANNIS, E.G.; GRIGOROUDIS, E.; ROZAKIS, S. (Ed.). From agriscience to agribusiness: theories, policies and practices in technology transfer and commercialization. Washington: Springer, 2018. p. 429-444.
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Biblioteca(s): |
Embrapa Café. |
Data corrente: |
17/03/2016 |
Data da última atualização: |
18/03/2016 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
GONÇALVES, T. G.; MACIEL, D. A.; ALVES, H. M. R.; VOLPATO, M M. L.; VIEIRA, T. G. C.; DANTAS, M. F. |
Afiliação: |
THAIS GABRIELA GONÇALVES, UFLA; DANIEL ANDRADE MACIEL, UFLA; HELENA MARIA RAMOS ALVES, SAPC; MARGARETE MARIN LORDELO VOLPATO, EPAMIG; TATIANA GROSSI CHQUILOFF VIEIRA, EPAMIG; MAYARA FONTES DANTAS, EPAMIG. |
Título: |
Avaliação do nível de água do reservatório de Furnas nos anos de 2013 e 2014, utilizando imagens Landsat-8. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 1502-1507 , 2015 |
Idioma: |
Português |
Conteúdo: |
Located in the middle of the Rio Grande in Minas Gerais state, Furnas hydroelectric occupies an area of 1440 km², with an estimated volume of 17,217 km³ used to generate 1216 megawatts of power. Around the lake, other economic activities such as agriculture, pisciculture and tourism are also important. A shortage of rainfall in the region in 2014 heavily impacted these activities, causing also a decrease in the reservoir?s power generation capacity. The aim of this study was to assess the reduction of the volume of water in the reservoir using remote sensing and GIS. Landsat 8 26/04/2013 and 19/08/2014 satellite images were compared. The images were processed by eCognition Developer and Arcgis 10.2. It was observed that, in the 2013 image, the reservoir area was at 1134 km2 of water and 71.51% of its capacity. In the 2014 image, the area decreased to 807,42km2 and 27.55% capacity. This difference showed a reduction of 7,082km³ in volume in 16 months. These results show the applicability of satellite imagery and GIS to estimate reservoir areas over time, assisting various sectors in decision making processes and helping to mitigate the consequences of droughts. |
Thesagro: |
Sensoriamento remoto. |
Thesaurus NAL: |
Drought; Geographic information systems; Remote sensing. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/141350/1/Avaliacao-do-nivel-de-agua.pdf
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Marc: |
LEADER 01958nam a2200217 a 4500 001 2041257 005 2016-03-18 008 2015 bl uuuu u00u1 u #d 100 1 $aGONÇALVES, T. G. 245 $aAvaliação do nível de água do reservatório de Furnas nos anos de 2013 e 2014, utilizando imagens Landsat-8.$h[electronic resource] 260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 1502-1507 $c2015 520 $aLocated in the middle of the Rio Grande in Minas Gerais state, Furnas hydroelectric occupies an area of 1440 km², with an estimated volume of 17,217 km³ used to generate 1216 megawatts of power. Around the lake, other economic activities such as agriculture, pisciculture and tourism are also important. A shortage of rainfall in the region in 2014 heavily impacted these activities, causing also a decrease in the reservoir?s power generation capacity. The aim of this study was to assess the reduction of the volume of water in the reservoir using remote sensing and GIS. Landsat 8 26/04/2013 and 19/08/2014 satellite images were compared. The images were processed by eCognition Developer and Arcgis 10.2. It was observed that, in the 2013 image, the reservoir area was at 1134 km2 of water and 71.51% of its capacity. In the 2014 image, the area decreased to 807,42km2 and 27.55% capacity. This difference showed a reduction of 7,082km³ in volume in 16 months. These results show the applicability of satellite imagery and GIS to estimate reservoir areas over time, assisting various sectors in decision making processes and helping to mitigate the consequences of droughts. 650 $aDrought 650 $aGeographic information systems 650 $aRemote sensing 650 $aSensoriamento remoto 700 1 $aMACIEL, D. A. 700 1 $aALVES, H. M. R. 700 1 $aVOLPATO, M M. L. 700 1 $aVIEIRA, T. G. C. 700 1 $aDANTAS, M. F.
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