Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1186026
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dc.contributor.authorSILVA, E. C. da
dc.contributor.authorSESSI, A. S.
dc.contributor.authorMARCHIORETTO, L. de R.
dc.contributor.authorFACUNDO, B. R.
dc.contributor.authorPAULA FILHO, P. L. de
dc.contributor.authorGEBLER, L.
dc.contributor.authorALVES, S. A. M.
dc.date.accessioned2026-04-02T12:48:30Z-
dc.date.available2026-04-02T12:48:30Z-
dc.date.created2026-04-02
dc.date.issued2025
dc.identifier.citationIn: WORKSHOP CIENTÍFICO DO CENTRO DE CIÊNCIA PARA O DESENVOLVIMENTO EM AGRICULTURA DIGITAL – SEMEAR DIGITAL, 2., 2025, Campinas. Anais [...]. Piracicaba: ESALQ/USP, 2025. p. 108-114.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1186026-
dc.descriptionEuropean canker is a significant disease affecting apple trees in Brazil. Manual detection is labor-intensive and time-consuming, with limitations in the early identification of lesions. This study aims to develop faster and more efficient detection methods through an automated system based on sensors or image processing. To achieve this, the creation of a comprehensive image database of affected apple tree branches is essential. The research was divided into two stages, both focused on building this database. The first stage involved compiling an RGB image dataset of healthy and infected branches. The second stage documented canker at various stages of development through a controlled inoculation experiment, using RGB and multispectral (725 nm) cameras. Preliminary results indicate that the physiological changes caused by infection produce detectable differences in the images, particularly at wavelengths above 700 nm. This underscores the potential of this spectral range for detecting diseased branches. The resulting database will enable detailed spectral analysis and will later be used to train convolutional neural networks (CNNs) to identify early infection patterns.
dc.language.isopor
dc.rightsopenAccess
dc.subjectDisease monitoring
dc.titleDevelopment of an image database of apple tree branches affected by european canker.
dc.typeArtigo em anais e proceedings
dc.subject.nalthesaurusNeonectria ditissima
dc.subject.nalthesaurusSpectroscopy
dc.format.extent27 p.
riaa.ainfo.id1186026
riaa.ainfo.lastupdate2026-04-02
dc.contributor.institutionEDUARDO CARVALHO DA SILVA, EMBRAPA UVA E VINHO
dc.contributor.institutionALESSANDRA SOARES SESSI, EMBRAPA UVA E VINHOpor
dc.contributor.institutionLUCAS DE ROSS MARCHIORETTO, EMBRAPA UVA E VINHOpor
dc.contributor.institutionBRUNO RAPHAEL FACUNDO, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁpor
dc.contributor.institutionPEDRO LUIZ DE PAULA FILHO, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁpor
dc.contributor.institutionLUCIANO GEBLER, CNPUVpor
dc.contributor.institutionSILVIO ANDRE MEIRELLES ALVES, CNPUV.por
Aparece nas coleções:Artigo em anais de congresso (CNPUV)

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