Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 5
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Management zones definition using soil chemical and physical attributes in a soybean area REA
Bazzi,Claudio L.; Souza,Eduardo G.; Uribe-Opazo,Miguel A.; Nóbrega,Lúcia H. P.; Rocha,Davi M..
Several equipments and methodologies have been developed to make available precision agriculture, especially considering the high cost of its implantation and sampling. An interesting possibility is to define management zones aim at dividing producing areas in smaller management zones that could be treated differently, serving as a source of recommendation and analysis. Thus, this trial used physical and chemical properties of soil and yield aiming at the generation of management zones in order to identify whether they can be used as recommendation and analysis. Management zones were generated by the Fuzzy C-Means algorithm and their evaluation was performed by calculating the reduction of variance and performing means tests. The division of the area into...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Precision agriculture; Spatial variability; Fuzzy clustering; Management zones; Autocorrelation; Cross-correlation.
Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000500007
Imagem não selecionada

Imprime registro no formato completo
TEMPORAL VARIABILITY IN ACTIVE REFLECTANCE SENSOR-MEASURED NDVI IN SOYBEAN AND WHEAT CROPS REA
Beneduzzi,Humberto M.; Souza,Eduardo G.; Bazzi,Claudio L.; Schenatto,Kelyn.
ABSTRACT: Optimization of N management is one of the great challenges to be overcome in grain production, as it is directly related to productivity and can also cause environmental damage. Precision agriculture aims to solve this problem by applying nitrogen fertilizer at varying rates. Reflectance sensors are instruments capable of estimating N needs in various crops, including grain crops. However, it is not clear how these sensors perform under varying solar radiation and cloud cover, due to a lack of research on their temporal variability. Thus, this study examined the temporal variability of the NDVI (normalized difference vegetation index), as measured by an active reflectance sensor, in both soybean and wheat crops. The NDVI data were collected...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Precision agriculture; Remote sensing; Vegetation index; NDVI.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000400771
Imagem não selecionada

Imprime registro no formato completo
Redundant variables and the quality of management zones REA
Ricardo,Sobjak; Souza,Eduardo G. de; Bazzi,Claudio L.; Uribe-Opazo,Miguel A.; Betzek,Nelson M..
ABSTRACT Precision agriculture (PA) allows farmers to identify and address variations in an agriculture field. Management zones (MZs) make PA more feasible and economical. The most important method for defining MZs is a fuzzy C-means algorithm, but selecting the variable for use as the input layer in the fuzzy process is problematic. BAZZI et al. (2013) used Moran’s bivariate spatial autocorrelation statistic to identify variables that are spatially correlated with yield while employing spatial autocorrelation. BAZZI et al. (2013) proposed that all redundant variables be eliminated and that the remaining variables would be considered appropriate on the MZ generation process. Thus, the objective of this work, a study case, was to test the hypothesis that...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Precision agriculture; Spatial correlation; Relative efficiency.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000100078
Imagem não selecionada

Imprime registro no formato completo
Variabilidade espacial de atributos físicos de um Latossolo Vermelho após cultivo de soja AGRIAMBI
Santos,Diego dos; Souza,Eduardo G. de; Nóbrega,Lúcia H. P.; Bazzi,Claudio L.; Gonçalves Júnior,Affonso C..
Os atributos químicos e físicos do solo apresentam, frequentemente, dependência espacial. Portanto, é imprescindível estudar sua variabilidade espacial visando ao manejo mais preciso da lavoura, a redução do impacto ambiental, a otimização do uso de máquinas e o aumento da eficiência das equipes de trabalho. Assim, o objetivo deste trabalho foi avaliar a variabilidade espacial de atributos físicos de um Latossolo Vermelho distroférrico típico após o cultivo de soja. Os dados foram coletados em uma área de 2 ha cultivada sob sistema de plantio direto utilizando-se uma grade amostral de 30 x 33 m, em que foram avaliados os parâmetros: macroporosidade, microporosidade, porosidade total, densidade e umidade do solo, na camada de 0 - 0,1 m; após as análises...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Geoestatística; Porosidade do solo; Umidade do solo; Densidade do solo.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662012000800005
Imagem não selecionada

Imprime registro no formato completo
Model to estimate the sampling density for establishment of yield mapping AGRIAMBI
Spezia,Graciele R.; Souza,Eduardo G. de; Nóbrega,Lúcia H. P.; Uribe-Opazo,Miguel A.; Milan,Marcos; Bazzi,Claudio L..
Yield mapping represents the spatial variability concerning the features of a productive area and allows intervening on the next year production, for example, on a site-specific input application. The trial aimed at verifying the influence of a sampling density and the type of interpolator on yield mapping precision to be produced by a manual sampling of grains. This solution is usually adopted when a combine with yield monitor can not be used. An yield map was developed using data obtained from a combine equipped with yield monitor during corn harvesting. From this map, 84 sample grids were established and through three interpolators: inverse of square distance, inverse of distance and ordinary kriging, 252 yield maps were created. Then they were compared...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Precision agriculture; Thematic map; Spatial variability.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662012000400016
Registros recuperados: 5
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional