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Provedor de dados:  Ciência e Agrotecnologia
País:  Brazil
Título:  Image analysis to qualify soil erodibility into a wind tunnel
Autores:  Asensio,Carlos
García-Navarro,Francisco Jesús
Torres,José Antonio
Data:  2018-06-01
Ano:  2018
Palavras-chave:  Artificial vision camera
Soil fertility
Semiarid environment.
Resumo:  ABSTRACT A wind erosion research was carried out in a wind tunnel where sediment samples acquired were studied by an artificial vision camera. These images could be enlarged for further analysis. Image analyses were mainly colorimetry, number of particles present and their size. Soil wind erodibility was analyzed with the image analyses supported by other laboratory results. Anthrosols were the most erodible soils, whereas Calcisols showed the highest resistance to the erosive action of wind. Sediment characteristics show the influence of trap height with decreasing particle size, number and darkness as transport height increases. A two-factor ANOVA for main effect height showed that there were significant differences in particle number and size for sediments trapped 0-15 cm and 40-70 cm high. Soils could be grouped by differences in particle number and size at different heights into highly erodible Anthrosols and Leptosols, non-erodible Calcisols and Arenosols, in which fine particles were already depleted by natural wind erosion. Aggregation showed a similar pattern with decreasing values from Calcisols and Leptosols to Anthrosols and finally Arenosols, where only single sand grains were observed in adhesive traps.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Editor:  Editora da Universidade Federal de Lavras
Relação:  10.1590/1413-70542018423008218
Formato:  text/html
Fonte:  Ciência e Agrotecnologia v.42 n.3 2018
Direitos:  info:eu-repo/semantics/openAccess

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