Raquel Stucchi Boschi
University of São Paulo
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Publication
Featured researches published by Raquel Stucchi Boschi.
Scientia Agricola | 2016
Miguel Cooper; Raquel Stucchi Boschi; Laura Fernanda Simões da Silva
Studies of soil porosity through image analysis are important to an understanding of how the soil functions. However, the lack of a simplified methodology for the quantification of the shape, number, and size of soil pores has limited the use of information extracted from images. The present work proposes a software program for the quantification and characterization of soil porosity from data derived from 2-D images. The user-friendly software was developed in C++ and allows for the classification of pores in terms of size, shape, and combinations of size and shape. Using raw data generated by image analysis systems, the software calculates the following parameters for the characterization of soil porosity: total area of pore (Tap), number of pores, pore shape, pore shape and pore area, and pore shape and equivalent pore diameter (EqDiam). In this paper, the input file with the raw soil porosity data was generated using the Noesis Visilog 5.4 image analysis system; however other image analysis programs can be used, in which case, the input file requires a standard format to permit processing by this software. The software also shows the descriptive statistics (mean, standard deviation, variance, and the coefficient of variation) of the parameters considering the total number of images evaluated. The results show that the software is a complementary tool to any analysis of soil porosity, allowing for a precise and quick analysis.
Soil Science | 2016
Renata Cristina Bovi; Raquel Stucchi Boschi; Camila Carolina de Carvalho; Miguel Cooper
Abstract In this study, we propose a methodology (ImaGrain) for quantifying the sand fractions from two-dimensional images obtained from thin sections of undisturbed soil samples. Samples for this analysis were collected from soil horizons and sediment layers of two profiles and two pits, located in the Experimental Station of Tupi, Piracicaba, São Paulo, Brazil. Data from image analysis were used to calculate the mean, median, S.D. (a measure of sorting), skewness, and kurtosis of the size distribution of sand grains, and the results were compared with those obtained with the sieving (standard) method. Roundness of the sand grains was quantified with the ImaGrain method. The results showed that both methods classify the mean grain size as fine sand and that the values of S.D., skewness, and kurtosis for all samples were also similar. The sand grains of the sediment layers and soil horizons had similar degrees of sand grain roundness with a dominance of rounded and moderately rounded sand grains. Based on our results, ImaGrain should be explored further as a tool to quantify the soil sand fraction and for determining transport and deposition patterns. Image analysis also allows classifying the sand grain roundness, an important parameter that is not determined by the standard method.
Scientia Agricola | 2017
Miguel Cooper; Raquel Stucchi Boschi; Laura Fernanda Simões da Silva; Raul Shiso Toma; Pablo Vidal-Torrado
Scientia Agricola | 2018
Raquel Stucchi Boschi; Felipe Ferreira Bocca; Maria Leonor Ribeiro Casimiro Lopes-Assad; Eduardo Delgado Assad
IRRIGA | 2018
Laura Fernanda Simões da Silva; Mara de Andrade Marinho; Raquel Stucchi Boschi; Edson Eiji Matsura
Revista Ciência, Tecnologia & Ambiente | 2016
José Geanini Peres; Raquel Stucchi Boschi; Claudinei Fonseca Souza; Thaís Grandizoli Mendonça
Revista Ciência, Tecnologia & Ambiente | 2016
Raquel Stucchi Boschi; Laura Fernanda Simões da Silva; Maria Leonor Ribeiro Casimiro Lopes-Assad; Miguel Cooper
Revista Ciência, Tecnologia & Ambiente | 2016
Laura Fernanda Simões da Silva; Mara de Andrade Marinho; Eduardo de Oliveira Rocco; Michele Karina Cotta Walter; Raquel Stucchi Boschi
Revista Brasileira de Agricultura Irrigada | 2016
José Geanini Peres; Raquel Stucchi Boschi; Claudinei Fonseca Souza
REVISTA BRASILEIRA DE AGRICULTURA IRRIGADA - RBAI | 2016
José Geanini Peres; Claudinei Fonseca Souza; Raquel Stucchi Boschi
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Maria Leonor Ribeiro Casimiro Lopes-Assad
Federal University of São Carlos
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