How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find...

Autores
Setten, Lorena; Guillen, Noelia Belén; Favret, Eduardo Alfredo
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In recent years, our research has focused on the microtopography of different soil-digging beetles, with the aim of identifying the pattern responsible for reducing the adhesion of soil particles to agricultural machinery components [1, 2]. The main characteristic of the microtopography (micro relief) of the cuticular surface of the pronotum of these beetles is the presence of dimples apparently randomly distributed. In the present work, the angular orientation of the dimples pattern is quantified by employing the Rotated Image with Maximum Average Power Spectrum (RIMAPS) technique [3]. The RIMAPS technique, facilitated by software [4], involves the rotation of the image and the calculation of the x-step of the two-dimensional Fourier transform for each y-line of the resulting new image after rotation. Averaged power spectra are obtained for each angular position, and the corresponding maximum values are plotted as a function of rotation angle. The maxima of the RIMAPS spectrum are indicative of the main angular directions of the topographic pattern.
Instituto de Suelos
Fil: Setten, Lorena María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Guillén, Noelia Belén. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científica y Técnicas; Argentina
Fil: Favret, Eduardo Alfredo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científica y Técnicas; Argentina
Fuente
Microscopy and microanalysis 31 (Suppl. 1) : 2060-2061 (July 2025)
Materia
Soil
Microscopy
Beetles
Suelo
Microscopia
Escarabajo
Sulcophanaeus batasi
Superficies Antiadherentes
Antiadhesive Surfaces
RIMAPS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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spelling How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten.Setten, LorenaGuillen, Noelia BelénFavret, Eduardo AlfredoSoilMicroscopyBeetlesSueloMicroscopiaEscarabajoSulcophanaeus batasiSuperficies AntiadherentesAntiadhesive SurfacesRIMAPSIn recent years, our research has focused on the microtopography of different soil-digging beetles, with the aim of identifying the pattern responsible for reducing the adhesion of soil particles to agricultural machinery components [1, 2]. The main characteristic of the microtopography (micro relief) of the cuticular surface of the pronotum of these beetles is the presence of dimples apparently randomly distributed. In the present work, the angular orientation of the dimples pattern is quantified by employing the Rotated Image with Maximum Average Power Spectrum (RIMAPS) technique [3]. The RIMAPS technique, facilitated by software [4], involves the rotation of the image and the calculation of the x-step of the two-dimensional Fourier transform for each y-line of the resulting new image after rotation. Averaged power spectra are obtained for each angular position, and the corresponding maximum values are plotted as a function of rotation angle. The maxima of the RIMAPS spectrum are indicative of the main angular directions of the topographic pattern.Instituto de SuelosFil: Setten, Lorena María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; ArgentinaFil: Guillén, Noelia Belén. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científica y Técnicas; ArgentinaFil: Favret, Eduardo Alfredo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científica y Técnicas; ArgentinaOxford University Press2025-09-23T10:56:21Z2025-09-23T10:56:21Z2025-07-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/23894https://academic.oup.com/mam/article/31/Supplement_1/ozaf048.1021/82131312060-2061https://doi.org/10.1093/mam/ozaf048.1021Microscopy and microanalysis 31 (Suppl. 1) : 2060-2061 (July 2025)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:47:32Zoai:localhost:20.500.12123/23894instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:47:33.073INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten.
title How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten.
spellingShingle How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten.
Setten, Lorena
Soil
Microscopy
Beetles
Suelo
Microscopia
Escarabajo
Sulcophanaeus batasi
Superficies Antiadherentes
Antiadhesive Surfaces
RIMAPS
title_short How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten.
title_full How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten.
title_fullStr How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten.
title_full_unstemmed How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten.
title_sort How to improve soil anti-adhesion by studying the micro relief of the cutible surface of digging beetles: Using rotated image with maximum average power spectrum technique to find the predominant directions of the topographic patten.
dc.creator.none.fl_str_mv Setten, Lorena
Guillen, Noelia Belén
Favret, Eduardo Alfredo
author Setten, Lorena
author_facet Setten, Lorena
Guillen, Noelia Belén
Favret, Eduardo Alfredo
author_role author
author2 Guillen, Noelia Belén
Favret, Eduardo Alfredo
author2_role author
author
dc.subject.none.fl_str_mv Soil
Microscopy
Beetles
Suelo
Microscopia
Escarabajo
Sulcophanaeus batasi
Superficies Antiadherentes
Antiadhesive Surfaces
RIMAPS
topic Soil
Microscopy
Beetles
Suelo
Microscopia
Escarabajo
Sulcophanaeus batasi
Superficies Antiadherentes
Antiadhesive Surfaces
RIMAPS
dc.description.none.fl_txt_mv In recent years, our research has focused on the microtopography of different soil-digging beetles, with the aim of identifying the pattern responsible for reducing the adhesion of soil particles to agricultural machinery components [1, 2]. The main characteristic of the microtopography (micro relief) of the cuticular surface of the pronotum of these beetles is the presence of dimples apparently randomly distributed. In the present work, the angular orientation of the dimples pattern is quantified by employing the Rotated Image with Maximum Average Power Spectrum (RIMAPS) technique [3]. The RIMAPS technique, facilitated by software [4], involves the rotation of the image and the calculation of the x-step of the two-dimensional Fourier transform for each y-line of the resulting new image after rotation. Averaged power spectra are obtained for each angular position, and the corresponding maximum values are plotted as a function of rotation angle. The maxima of the RIMAPS spectrum are indicative of the main angular directions of the topographic pattern.
Instituto de Suelos
Fil: Setten, Lorena María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Guillén, Noelia Belén. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científica y Técnicas; Argentina
Fil: Favret, Eduardo Alfredo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científica y Técnicas; Argentina
description In recent years, our research has focused on the microtopography of different soil-digging beetles, with the aim of identifying the pattern responsible for reducing the adhesion of soil particles to agricultural machinery components [1, 2]. The main characteristic of the microtopography (micro relief) of the cuticular surface of the pronotum of these beetles is the presence of dimples apparently randomly distributed. In the present work, the angular orientation of the dimples pattern is quantified by employing the Rotated Image with Maximum Average Power Spectrum (RIMAPS) technique [3]. The RIMAPS technique, facilitated by software [4], involves the rotation of the image and the calculation of the x-step of the two-dimensional Fourier transform for each y-line of the resulting new image after rotation. Averaged power spectra are obtained for each angular position, and the corresponding maximum values are plotted as a function of rotation angle. The maxima of the RIMAPS spectrum are indicative of the main angular directions of the topographic pattern.
publishDate 2025
dc.date.none.fl_str_mv 2025-09-23T10:56:21Z
2025-09-23T10:56:21Z
2025-07-25
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/23894
https://academic.oup.com/mam/article/31/Supplement_1/ozaf048.1021/8213131
2060-2061
https://doi.org/10.1093/mam/ozaf048.1021
url http://hdl.handle.net/20.500.12123/23894
https://academic.oup.com/mam/article/31/Supplement_1/ozaf048.1021/8213131
https://doi.org/10.1093/mam/ozaf048.1021
identifier_str_mv 2060-2061
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv Microscopy and microanalysis 31 (Suppl. 1) : 2060-2061 (July 2025)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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