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| Registros recuperados : 40 | |
| 7. |  | HOFF, R.; DUCATI, J. R.; BERGMANN, M. Geologic and geomorphologic features applied for identification of wine terroir unit by digital image processing, spectroradiometric and GIS techniques in Encruzilhada do Sul, RS, Brazil. In: INTERNATIONAL TERROIR CONGRESS, 8., Soave, 2010. Proceedings... Conegliano: CRA-VIT, 2010. p. 44-49. 1 CD-ROM.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 11. | | HOFF, R.; BERGMANN, M.; DUCATI, J. R.; TONIETTO, J. Dados temáticos de fatores naturais integrados em SIG para a caracterização de terroir potenciais para a viticultura em Pinheiro Machado, Serra do Sudeste, Brasil. In: CONGRESSO BRASILEIRO DE VITICULTURA E ENOLOGIA, 12., 2008, Bento Gonçalves. Anais... Bento Gonçalves: Embrapa Uva e Vinho, 2008. p. 153. Resumo.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 15. | | COUTINHO, A. L. S.; DUCATI, J. R.; HOFF, R. Remote sensing and ground techniques, applied to the characterization of a new viticultural region at Pinto Bandeira, Brazil. In: CONGRÈS INTERNATIONAL DES TERROIRS VITICOLES, 7., 2008, Nyon, Suisse. Comptes rendus... Pully, Suisse: Agroscope Changins Wädenswill, 2008. Não paginado.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 18. | | ARRUDA, D. de C.; PITHAN, P. A.; HOFF, R.; DUCATI, J. R. Análise discriminante canônica aplicada a dados de reflectância espectral foliar de videiras, oriundos de sensor proximal. In: ENCONTRO DE INICIAÇÃO CIENTÍFICA, 17., ENCONTRO DE PÓS-GRADUANDOS DA EMBRAPA UVA E VINHO, 13., 2019, Bento Gonçalves. Anais... Bento Gonçalves: Embrapa Uva e Vinho, 18 e 19 de julho de 2019. (Embrapa Uva e Vinho. Documentos, 115). Resumo 25.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 19. | | HOFF, R.; FARIAS, A. R.; DUCATI, J. R.; TONIOLO, G. R. Aplicação de processamento digital de imagens orbitais e SIG para apoio à agricultura de precisão nas culturas da videira e macieira no Rio Grande do Sul. In: INAMASU, R. Y.; NAIME, J. de M.; RESENDE, A. V. de; BASSOI, L. H.; BERNARDI, A. C. de C. (Ed.). Agricultura de precisão: um novo olhar. São Carlos: Embrapa Instrumentação, 2011. p. 273-276.| Biblioteca(s): Embrapa Uva e Vinho. |
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| Registros recuperados : 40 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
20/03/2017 |
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Data da última atualização: |
23/10/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
C - 0 |
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Autoria: |
HOFF, R.; DUCATI, J. R.; FARIAS, A. R. |
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Afiliação: |
ROSEMARY HOFF, CNPUV; ANDRE RODRIGO FARIAS, SGTE. |
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Título: |
GIS and Remote Sensing to Support Precision Viticulture for Analysis of Vineyards in the Campanha Wine Region, Brazil |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Journal of Environmental & Agricultural Sciences, v. 10, p. 20-32, 2017. |
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Páginas: |
13 p. |
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Idioma: |
Português |
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Conteúdo: |
Agricultural products depend upon the geographical area of production and their quality depends on environment and crop management. Grapevine cultivars can be adapted to the environment, resulting in differences in fruit quality, which will produce different wines. The knowledge of the territory gives value to agricultural products and the use of free software has advantages to associate spatial data with Geographical Information System (GIS) functions for Digital Image Processing (DIP), spatial analysis, Digital Elevation Models (DEM) and databases. The objective of this study was analyze spatially vineyards of Vitis vinifera in south Brazil, using DEM for zoning landscape and employing RapidEye images at different crop stages, in order to follow the Normalized Difference Vegetation Index (NDVI) and test tools that allow the producer a customized management between vineyards and within each vineyard. The software gvSIG was used to evaluate NDVI for plant vigor in order to infer diseases, water status, and other factors. NDVI, altitude, slope, and exposure average were generated for 64 vineyards. To a Cabernet Sauvignon area, a map was generated, showing the variability of the vineyard by resampling of pixel size image, from five to one-meter spatial resolution and zoning according to critical variables for the vineyard. In conclusion, geotechnology is important for viticulture, as a support to environmental diagnostics and are a strategic application for agricultural management. Analytical tools and sensors can provide fast, easily accessible data to all users, being a technology prone to be of widespread access for the end user. MenosAgricultural products depend upon the geographical area of production and their quality depends on environment and crop management. Grapevine cultivars can be adapted to the environment, resulting in differences in fruit quality, which will produce different wines. The knowledge of the territory gives value to agricultural products and the use of free software has advantages to associate spatial data with Geographical Information System (GIS) functions for Digital Image Processing (DIP), spatial analysis, Digital Elevation Models (DEM) and databases. The objective of this study was analyze spatially vineyards of Vitis vinifera in south Brazil, using DEM for zoning landscape and employing RapidEye images at different crop stages, in order to follow the Normalized Difference Vegetation Index (NDVI) and test tools that allow the producer a customized management between vineyards and within each vineyard. The software gvSIG was used to evaluate NDVI for plant vigor in order to infer diseases, water status, and other factors. NDVI, altitude, slope, and exposure average were generated for 64 vineyards. To a Cabernet Sauvignon area, a map was generated, showing the variability of the vineyard by resampling of pixel size image, from five to one-meter spatial resolution and zoning according to critical variables for the vineyard. In conclusion, geotechnology is important for viticulture, as a support to environmental diagnostics and are a strategic application for agricultural manage... Mostrar Tudo |
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Palavras-Chave: |
GIS; Image processing; Spatial analysis; Vineyard. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/164496/1/GIS-RemoteSensing-Precision-Viticulture-2017.pdf
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Marc: |
LEADER 02282naa a2200205 a 4500
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100 1 $aHOFF, R.
245 $aGIS and Remote Sensing to Support Precision Viticulture for Analysis of Vineyards in the Campanha Wine Region, Brazil$h[electronic resource]
260 $c2017
300 $a13 p.
520 $aAgricultural products depend upon the geographical area of production and their quality depends on environment and crop management. Grapevine cultivars can be adapted to the environment, resulting in differences in fruit quality, which will produce different wines. The knowledge of the territory gives value to agricultural products and the use of free software has advantages to associate spatial data with Geographical Information System (GIS) functions for Digital Image Processing (DIP), spatial analysis, Digital Elevation Models (DEM) and databases. The objective of this study was analyze spatially vineyards of Vitis vinifera in south Brazil, using DEM for zoning landscape and employing RapidEye images at different crop stages, in order to follow the Normalized Difference Vegetation Index (NDVI) and test tools that allow the producer a customized management between vineyards and within each vineyard. The software gvSIG was used to evaluate NDVI for plant vigor in order to infer diseases, water status, and other factors. NDVI, altitude, slope, and exposure average were generated for 64 vineyards. To a Cabernet Sauvignon area, a map was generated, showing the variability of the vineyard by resampling of pixel size image, from five to one-meter spatial resolution and zoning according to critical variables for the vineyard. In conclusion, geotechnology is important for viticulture, as a support to environmental diagnostics and are a strategic application for agricultural management. Analytical tools and sensors can provide fast, easily accessible data to all users, being a technology prone to be of widespread access for the end user.
653 $aGIS
653 $aImage processing
653 $aSpatial analysis
653 $aVineyard
700 1 $aDUCATI, J. R.
700 1 $aFARIAS, A. R.
773 $tJournal of Environmental & Agricultural Sciences$gv. 10, p. 20-32, 2017.
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