Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Vieira, Tatiana Grossi Chquiloff"'
Autor:
Bastos, Ana Rosa Ribeiro, Carvalho, Janice Guedes de, Vieira, Tatiana Grossi Chquiloff, Bertoni, Júlio Cesar
Publikováno v:
Amazonian Journal of Agricultural Sciences Journal of Agricultural and Environmental Sciences; No 43 (2005): RCA; 169-182
Revista de Ciências Agrárias Amazonian Journal of Agricultural and Environmental Sciences; n. 43 (2005): RCA; 169-182
Revista de Ciências Agrárias (Belém. Online)
Universidade Federal Rural da Amazônia (UFRA)
instacron:UFRA
Revista de Ciências Agrárias Amazonian Journal of Agricultural and Environmental Sciences; n. 43 (2005): RCA; 169-182
Revista de Ciências Agrárias (Belém. Online)
Universidade Federal Rural da Amazônia (UFRA)
instacron:UFRA
Avaliou-se a nutrição mineral de cultivares de arroz (Oryza sativa L.) em solos de várzea inundados, localizados na Fazenda Experimental da EPAMIG, em Lambari (MG), e no Campo Experimental de Cambuquira (MG), safras 94/95 e 95/96. Utilizou-se o de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::b2371948c2448bc419e49a9d1a7ed23a
https://ajaes.ufra.edu.br/index.php/ajaes/article/view/2473
https://ajaes.ufra.edu.br/index.php/ajaes/article/view/2473
Autor:
Volpato, Margarete Marin Lordelo, Vieira, Tatiana Grossi Chquiloff, Alves, Helena Maria Ramos, Santos, Walbert Júnior Reis
Publikováno v:
Coffee Science-ISSN 1984-3909; Vol. 8 No. 2 (2013); 176-182
Coffee Science; Vol. 8 Núm. 2 (2013); 176-182
Coffee Science; v. 8 n. 2 (2013); 176-182
Coffee Science
Universidade Federal de Lavras (UFLA)
instacron:UFLA
Coffee Science; Vol. 8 Núm. 2 (2013); 176-182
Coffee Science; v. 8 n. 2 (2013); 176-182
Coffee Science
Universidade Federal de Lavras (UFLA)
instacron:UFLA
Agrometeorological monitoring of coffee lands has conventionally been performed in the field using data from land-based meteorological stations and field surveys to observe crop conditions. More recent studies use satellite images, which assess large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::81f0588f2a29f8690c4451ade9308ba9
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/398
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/398
Autor:
Andrade, Livia Naiara, Vieira, Tatiana Grossi Chquiloff, Lacerda, Wilian Soares, Volpato, Margarete Marin Lordelo, Davis Jr, Clodoveu Augusto
Publikováno v:
Coffee Science-ISSN 1984-3909; Vol. 8 No. 1 (2013); 78-90
Coffee Science; Vol. 8 Núm. 1 (2013); 78-90
Coffee Science; v. 8 n. 1 (2013); 78-90
Coffee Science
Universidade Federal de Lavras (UFLA)
instacron:UFLA
Coffee Science; Vol. 8 Núm. 1 (2013); 78-90
Coffee Science; v. 8 n. 1 (2013); 78-90
Coffee Science
Universidade Federal de Lavras (UFLA)
instacron:UFLA
The coffee is extremely important activity in southern of Minas Gerais and techniques for estimating acreage, seeking reliable crop forecasts are being intensely investigated. It is presented in this study, an application of Artificial Neural Network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::aa85fc7f70160d55181ebe49f9cc1b34
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/363
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/363
Autor:
Souza, Vanessa Cristina Oliveira de, Vieira, Tatiana Grossi Chquiloff, Volpato, Margarete Marin Lordelo, Alves, Helena Maria Ramos
Publikováno v:
Coffee Science-ISSN 1984-3909; Vol. 7 No. 2 (2012); 122-134
Coffee Science; Vol. 7 Núm. 2 (2012); 122-134
Coffee Science; v. 7 n. 2 (2012); 122-134
Coffee Science
Universidade Federal de Lavras (UFLA)
instacron:UFLA
Coffee Science; Vol. 7 Núm. 2 (2012); 122-134
Coffee Science; v. 7 n. 2 (2012); 122-134
Coffee Science
Universidade Federal de Lavras (UFLA)
instacron:UFLA
The aim of this study was to identify coffee cropped areas and production spatial patterns in the state of MinasGerais between 1990 and 2009. IBGE and Statistic Coffee Yearbook data were used. The data was treated by the TerraViewGeographic Informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::899d1c0a9374097a43780349f16724f8
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/209
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/209
Autor:
Vieira, Tatiana Grossi Chquiloff, Alves, Helena Maria Ramos, Bertoldo, Mathilde Aparecida, Souza, Vanessa Cristina Oliveira de
Publikováno v:
Coffee Science-ISSN 1984-3909; Vol. 2 No. 2 (2007); p. 142-149
Coffee Science; Vol. 2 Núm. 2 (2007); p. 142-149
Coffee Science; v. 2 n. 2 (2007); p. 142-149
Coffee Science
Universidade Federal de Lavras (UFLA)
instacron:UFLA
Coffee Science; Vol. 2 Núm. 2 (2007); p. 142-149
Coffee Science; v. 2 n. 2 (2007); p. 142-149
Coffee Science
Universidade Federal de Lavras (UFLA)
instacron:UFLA
Coffee is one of Brazilian most important cash crops due to the incomes generated by exportation. Southern Minas Gerais State represents approximately half of the total national production, although the greatest expansion of the crop has been observe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::1389b9e4fce1b05908bcd1aebd5b0962
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/59
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/59
Autor:
Vieira, Tatiana Grossi Chquiloff, Alves, Helena Maria Ramos, Lacerda, Marilusa Pinto Coelho, Veiga, Ruben Delly, Epiphanio, José Carlos Neves
Publikováno v:
Coffee Science-ISSN 1984-3909; Vol. 1 No. 2 (2006); p. 111-118
Coffee Science; Vol. 1 Núm. 2 (2006); p. 111-118
Coffee Science; v. 1 n. 2 (2006); p. 111-118
Coffee Science
Universidade Federal de Lavras (UFLA)
instacron:UFLA
Coffee Science; Vol. 1 Núm. 2 (2006); p. 111-118
Coffee Science; v. 1 n. 2 (2006); p. 111-118
Coffee Science
Universidade Federal de Lavras (UFLA)
instacron:UFLA
This work compares coffee plantation (Coffea arabica L.) characteristics to their spectral responses in TM/ Landsat images to obtain identification patterns to be used in mapping and monitoring of coffee crops in the state of Minas Gerais using remot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::29fb51cd0b923db892816200949de0bc
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/26
http://www.coffeescience.ufla.br/index.php/Coffeescience/article/view/26