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Resumen
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 [ver mas...]
dc.contributor.authorSetten, Lorena
dc.contributor.authorGuillen, Noelia Belén
dc.contributor.authorFavret, Eduardo Alfredo
dc.date.accessioned2025-09-23T10:56:21Z
dc.date.available2025-09-23T10:56:21Z
dc.date.issued2025-07-25
dc.identifier.issn2060-2061
dc.identifier.otherhttps://doi.org/10.1093/mam/ozaf048.1021
dc.identifier.urihttp://hdl.handle.net/20.500.12123/23894
dc.identifier.urihttps://academic.oup.com/mam/article/31/Supplement_1/ozaf048.1021/8213131
dc.description.abstractIn 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.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherOxford University Presses_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceMicroscopy and microanalysis 31 (Suppl. 1) : 2060-2061 (July 2025)es_AR
dc.subjectSoileng
dc.subjectSueloes_AR
dc.subjectMicroscopia
dc.subjectMicroscopyeng
dc.subjectEscarabajo
dc.subjectBeetleseng
dc.subject.otherSulcophanaeus batasies_AR
dc.subject.otherAntiadhesive Surfaceseng
dc.subject.otherSuperficies Antiadherenteses_AR
dc.subject.otherRIMAPS
dc.titleHow 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.es_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenInstituto de Suelos
dc.description.filFil: Setten, Lorena María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentinaes_AR
dc.description.filFil: Guillén, Noelia Belén. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científica y Técnicas; Argentinaes_AR
dc.description.filFil: Favret, Eduardo Alfredo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científica y Técnicas; Argentinaes_AR
dc.subtypecientifico


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