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Medeiros,Wilker Nunes; Valente,Domingos Sárvio Magalhães; Queiroz,Daniel Marçal de; Pinto,Francisco de Assis de Carvalho; Assis,Igor Rodrigues de. |
ABSTRACT Mapping the apparent soil electrical conductivity (ECa) has become important for the characterization of the soil variability in precision agriculture systems. Could the ECa be used to locate the soil sampling points for mapping the chemical and physical soil attributes? The objective of this work was to examine the relations between ECa and soil attributes in two fields presenting different soil textures. In each field, 50 sampling points were chosen using a path that presented a high variability of ECa obtained from a preliminary ECa map. At each sampling point, the ECa was measured in soil depths of 0-20, 0-40 and 0-60 cm. In addition, at each point, soil samples were collected for the determination of physical and chemical attributes in the... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Precision agriculture; Management zones; Soil sampling. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000100043 |
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Barbosa,Danilo Pereira; Bottega,Eduardo Leonel; Valente,Domingos Sárvio Magalhães; Santos,Nerilson Terra; Guimarães,Wellington Donizete; Ferreira,Matheus de Paula. |
ABSTRACT The proper handling soil allows the reduction of contaminants, maximize agricultural productivity, and is directly related the knowledge spatial variability of soil attributes. This spatial variability can express isotropic and anisotropic form. The latter being neglected in research related to management zones delineation. In this context, the present study aimed to evaluate the effect of the geometric anisotropy correction on the management zone delineation. The methodology was applied under database of soybean productivity and apparent electrical conductivity (CEa) of a rural property in Ponta Porã - MS. By means of this georeferenced database, maps was interpolated with ordinary kriging. For each combination, attribute (productivity and CEa)... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Geostatistics; Anisotropy factor; Spatial variability; Apparent electrical conductivity; Soybean. |
Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000400543 |
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Araújo,Adolfo Vicente; Queiroz,Daniel Marçal de; Arcanjo,Gemima Santos; Dias,Santos Henrique Brant; Alves,Renato Martins; Pinto,Francisco de Assis de Carvalho; Valente,Domingos Sárvio Magalhães. |
ABSTRACT: The objective of this research was to use the modeling and computer simulation to support decision makers, aiming to increase the productive capacity of the agro-industry of LaticínioFunarbe. Specifically, it has modeled the current yoghurt production sector for simulation that enables it to meet the new demand. The Arena 14.7 simulation software was used to conduct the modeling. To validate the model, the output of yoghurt production collected at the factory for three months was compared with the output from the simulated computational model. Two indicators were established to perform analyzes of four different scenarios. The implemented model resulted in an increase in the production capacity of 5,000L.d-1 of yoghurt, corresponding to a... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Modeling; Computer simulation; Cenario analysis; Yoghurt; Dairy industry. |
Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000100751 |
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