Image analysis to qualify soil erodibility into a wind tunnel

Detalhes bibliográficos
Autor(a) principal: Asensio,Carlos
Data de Publicação: 2018
Outros Autores: Rodríguez-Caballero,Emilio, García-Navarro,Francisco Jesús, Torres,José Antonio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência e Agrotecnologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000300240
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.
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spelling Image analysis to qualify soil erodibility into a wind tunnelArtificial vision camerasoil fertilitysemiarid environment.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.Editora da UFLA2018-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000300240Ciência e Agrotecnologia v.42 n.3 2018reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/1413-70542018423008218info:eu-repo/semantics/openAccessAsensio,CarlosRodríguez-Caballero,EmilioGarcía-Navarro,Francisco JesúsTorres,José Antonioeng2018-08-13T00:00:00Zoai:scielo:S1413-70542018000300240Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2022-11-22T16:31:34.881767Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Image analysis to qualify soil erodibility into a wind tunnel
title Image analysis to qualify soil erodibility into a wind tunnel
spellingShingle Image analysis to qualify soil erodibility into a wind tunnel
Asensio,Carlos
Artificial vision camera
soil fertility
semiarid environment.
title_short Image analysis to qualify soil erodibility into a wind tunnel
title_full Image analysis to qualify soil erodibility into a wind tunnel
title_fullStr Image analysis to qualify soil erodibility into a wind tunnel
title_full_unstemmed Image analysis to qualify soil erodibility into a wind tunnel
title_sort Image analysis to qualify soil erodibility into a wind tunnel
author Asensio,Carlos
author_facet Asensio,Carlos
Rodríguez-Caballero,Emilio
García-Navarro,Francisco Jesús
Torres,José Antonio
author_role author
author2 Rodríguez-Caballero,Emilio
García-Navarro,Francisco Jesús
Torres,José Antonio
author2_role author
author
author
dc.contributor.author.fl_str_mv Asensio,Carlos
Rodríguez-Caballero,Emilio
García-Navarro,Francisco Jesús
Torres,José Antonio
dc.subject.por.fl_str_mv Artificial vision camera
soil fertility
semiarid environment.
topic Artificial vision camera
soil fertility
semiarid environment.
description 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000300240
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000300240
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1413-70542018423008218
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv Ciência e Agrotecnologia v.42 n.3 2018
reponame:Ciência e Agrotecnologia (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Ciência e Agrotecnologia (Online)
collection Ciência e Agrotecnologia (Online)
repository.name.fl_str_mv Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv ||renpaiva@dbi.ufla.br|| editora@editora.ufla.br
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