Espectroscopia de correlação bidimensional generalizada e sample-sample aplicada ao estudo da tripsina pancreática bovina

Pós-graduação em Biofísica Molecular - IBILCE

A família Pinnulariaceae (Bacillariophyceae) no estado de São Paulo: levantamento florístico

Pós-graduação em Ciências Biológicas (Biologia Vegetal) - IBRC

Disfunções tireoidianas e crescimento físico na Síndrome de Down

Pós-graduação em Pediatria - FMB

Estudo do comportamento térmico de hidrocarbonetos policíclicos aromáticos (HPAs) em fuligem de cana-de-açúcar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Correlação linear e espacial da produtividade de forragem de milho com atributos físicos de um latossolo vermelho distrófico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Identificação de pigmentos em artefatos arqueológicos via espectroscopia Micro-Raman

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Dimensões de cavacos industriais de eucalipto e relações com polpação, resistência e morfologia de fibras na polpa

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Relações entre mineralogia da argila, suscetibilidade magnética e adsorção de fósforo em latossolos da região de Jaboticabal-SP

Pós-graduação em Agronomia (Ciência do Solo) - FCAV

Agricultura de precisão por metodologia geoestatística: aplicação em solo do Estado de Rondônia

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estudo de formulação de massas através do controle da mistura: argilas aluvionares do pólo cerâmico de Russas-Ceará

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Aproveitamento dos resíduos gerados pelo processamento industrial/artesanal de pedra-sabão da região de Ouro Preto

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Avaliação dos marcadores TGF-β1 e TGF-βII em carcinomas mamários localmente avançados e sua associação com fatores clínico-patológicos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Partículas magnéticas: ferrita de ítrio 'Y IND. 3''FE IND. 5''O IND. 12' (YIG) recoberta com sílica ('SIO IND. 2')

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Influence of the sample area in the variability of losses in the mechanical harvesting of soybeans

The mechanical harvesting is an important stage in the production process of soybeans and, in this process; the loss of a significant number of grains is common. Despite the existence of mechanisms to monitor these losses, it is still essential to use sampling methods to quantify them. Assuming that the size of the sample area affects the reliability and variability between samples in quantifying losses, this paper aimed to analyze the variability and feasibility of using different sizes of sample area (1, 2 and 3 m²) in quantifying losses in the mechanical harvesting of soybeans. Were sampled 36 sites and the cutting losses, losses by other mechanisms of the combine and total losses were evaluated, as well as the water content in seeds, straw distribution and crop productivity. Data were subjected to statistical analysis (descriptive statistics and analysis of variance) and Statistical Control Process (SCP). The coefficients of variation were similar for the three frames available. Combine losses showed stable behavior, whereas cutting losses and total losses showed unstable behavior. The frame size did not affect the quantification and variability of losses in the mechanical harvesting of soybeans, thus a frame of 1 m² can be used for determining losses.

Uso de sombras na correção do efeito vinhete

When registering spectral radiance from surface targets, digital numbers recorded by the imagery sensor may vary. Such variation causes imperfections on the images coming from aerial surveys. Variation in the image brightness related to the distance from the center of the image is known as the vignetting effect. Correcting this effect aims at achieving an homogeneous image brightness. The purpose of this paper is to present a specific methodology to determine a model in order to minimize this vignette effect based on a model fit by Least Squares Method (LSM), using digital numbers (DN) from shadowed regions. The main hypothesis is that the recorded DN of shadow pixels should be suitable to model the vignetting effect. Considering that the vignetting effect could be modeled as a trend of spatial image variation, a trend surface analysis of a sample of pixels from shadowed regions was carried out. Two approaches were adopted to represent the shadow regions of an image. The first one takes into account the components R, G, B of the aerial image within the visible spectral band, and the second one considers the component I of the HSI image. In order to evaluate the methodology, a study case with a color aerial image was carried out. The findings showed that the best results were obtained by applying the model in the RGB components, which allows to conclude that the vignetting effect can be modeled based on trend surfaces fit on shadow regions DN.