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Grzegozewski,Denise M.; Uribe-Opazo,Miguel A.; Johann,Jerry A.; Guedes,Luciana P. C.. |
ABSTRACT The survey information from growing regions, the interaction with the vegetation index and climatic variables is of great importance in the search for soybean productivity increase. Paraná is the second largest soybean producer in Brazil and presents great spatial variability, both in periods of the crop cycle as in soil and climate. The objective of this study was to analyze the spatial correlation of soybean productivity, the enhanced vegetation index (EVI) and agrometeorological variables (water balance, global radiation and average temperature) in the state of Paraná, on a decendial scale, using the Moran global autocorrelation index between the 2010/2011 and 2012/2013 crop years. Similarity was found in the average productivities in 2010/2011... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Culture cycle; Spatial statistics of areas; Climatic variability. |
Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000300541 |
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Kuczman,Osvaldo; Tavares,Maria H. F.; Gomes,Simone D.; Guedes,Luciana P. C.; Grisotti,Geovane. |
The cassava starch industries generate a large volume of wastewater effluent that, stabilized in ponds, wastes its biogas energy and pollutes the atmosphere. To contribute with the reversion of this reality, this manipueira treatment research was developed in one phase anaerobic horizontal pilot reactor with support medium in bamboo pieces. The reactor was excavated into the ground and sealed with geomembrane in HDPE, having a volume equal to 33.6 m³ and continuous feeding by gravity. The stability indicators were pH, volatile acidity/total alkalinity ratio and biogas production. The statistical analyses were performed by a completely randomized design, with answers submitted to multivariate analysis. The organical loads in COD were 0.556; 0.670; 0.678 and... |
Tipo: Info:eu-repo/semantics/other |
Palavras-chave: Biodigester; Biogas; Anaerobic digestion; Cassava; Cassava wastewater. |
Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000600021 |
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Guedes,Luciana P. C.; Ribeiro Junior,Paulo J.; Uribe-opazo,Miguel A.; Bastiani,Fernanda de. |
ABSTRACT This study aimed to compare thematic maps of soybean yield for different sampling grids, using geostatistical methods (semivariance function and kriging). The analysis was performed with soybean yield data in t ha-1 in a commercial area with regular grids with distances between points of 25x25 m, 50x50 m, 75x75 m, 100x100 m, with 549, 188, 66 and 44 sampling points respectively; and data obtained by yield monitors. Optimized sampling schemes were also generated with the algorithm called Simulated Annealing, using maximization of the overall accuracy measure as a criterion for optimization. The results showed that sample size and sample density influenced the description of the spatial distribution of soybean yield. When the sample size was... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Accuracy indices; Optimization; Sampling grids; Spatial variability. |
Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000100114 |
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Kestring,Franciele B. F.; Guedes,Luciana P. C.; Bastiani,Fernanda de; Uribe-Opazo,Miguel A.. |
RESUMO Este trabalho teve como objetivo comparar mapas temáticos construídos a partir de conjuntos de dados referentes à produtividade da soja, com diferentes grades amostrais regulares de 25x25 m; 50x50 m; 75x75 m e 100x100 m, utilizando técnicas de krigagem. No ajuste dos modelos teóricos a semivariâncias experimentais, utilizou-se para a estimação dos parâmetros o método de máxima verossimilhança. A comparação dos mapas temáticos foi realizada por meio dos índices de acurácia, obtidos a partir da matriz de erros. Foi verificado que fatores tais, como o tamanho amostral e a densidade amostral entre pontos, interferem na escolha do modelo teórico espacial, nas estimativas dos parâmetros e na construção dos mapas temáticos. |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Dependência espacial; Geoestatística; Máxima verossimilhança. |
Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000400733 |
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Guedes,Luciana P. C.; Uribe-Opazo,Miguel A.; Ribeiro Junior,Paulo J.; Dalposso,Gustavo H.. |
ABSTRACT Spatial variability depends on the sampling configuration and characteristics associated with the georeferenced phenomenon, such as geometric anisotropy. This study aimed to determine the influence of the sampling design on parameter estimation in an anisotropic geostatistical model and the spatial estimation of a georeferenced variable at unsampled locations. Datasets were simulated with geometric anisotropy, considering five values for the anisotropic ratio (1, 2, 3, 4, 5), and three sampling designs: lattice, random and lattice plus close pairs. The simulation results were used as a reference to select anisotropic models to describe the spatial dependence structure in chemical soil properties. For each dataset (with either simulated or chemical... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Bootstrap; Directional trend; Geostatistics; Spatial variability; Tests of isotropy. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162018000200260 |
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