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Innovative infrastructure to access Brazilian fungal diversity using deep learning.
Chaves, Thiago; Santos Xavier, Joicymara; Gonçalves Dos Santos, Alfeu; Martins-Cunha, Kelmer; Karstedt, Fernanda; Kossmann, Thiago; Sourell, Susanne; Leopoldo, Eloisa; Fortuna Ferreira, Miriam Nathalie; Farias, Roger; Titton, Mahatmã; Alves-Silva, Genivaldo; Bittencourt, Felipe; Bortolini, Dener; Gumboski, Emerson L; von Wangenheim, Aldo; Góes-Neto, Aristóteles; Drechsler-Santos, Elisandro Ricardo.
Afiliación
  • Chaves T; Brazilian National Institute for Digital Convergence-INCoD, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Santos Xavier J; Institute of Agricultural Science, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Unaí, Minas Gerais, Brazil.
  • Gonçalves Dos Santos A; Brazilian National Institute for Digital Convergence-INCoD, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Martins-Cunha K; MIND.Funga/MICOLAB, Department of Botany, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Karstedt F; MIND.Funga/MICOLAB, Department of Botany, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Kossmann T; MIND.Funga/MICOLAB, Department of Botany, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Sourell S; MIND.Funga/MICOLAB, Department of Botany, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Leopoldo E; MIND.Funga/MICOLAB, Department of Botany, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Fortuna Ferreira MN; Brazilian National Institute for Digital Convergence-INCoD, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Farias R; Brazilian National Institute for Digital Convergence-INCoD, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Titton M; MIND.Funga/MICOLAB, Department of Botany, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Alves-Silva G; MIND.Funga/MICOLAB, Department of Botany, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Bittencourt F; MIND.Funga/MICOLAB, Department of Botany, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Bortolini D; Department of Microbiology, Institute of Biological Sciences, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.
  • Gumboski EL; Department of Biological Sciences, Regional University of Joinville (UNIVILLE), Joinville, Santa Catarina, Brazil.
  • von Wangenheim A; Brazilian National Institute for Digital Convergence-INCoD, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Góes-Neto A; Department of Microbiology, Institute of Biological Sciences, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.
  • Drechsler-Santos ER; MIND.Funga/MICOLAB, Department of Botany, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil.
PeerJ ; 12: e17686, 2024.
Article en En | MEDLINE | ID: mdl-39006015
ABSTRACT
In the present investigation, we employ a novel and meticulously structured database assembled by experts, encompassing macrofungi field-collected in Brazil, featuring upwards of 13,894 photographs representing 505 distinct species. The purpose of utilizing this database is twofold firstly, to furnish training and validation for convolutional neural networks (CNNs) with the capacity for autonomous identification of macrofungal species; secondly, to develop a sophisticated mobile application replete with an advanced user interface. This interface is specifically crafted to acquire images, and, utilizing the image recognition capabilities afforded by the trained CNN, proffer potential identifications for the macrofungal species depicted therein. Such technological advancements democratize access to the Brazilian Funga, thereby enhancing public engagement and knowledge dissemination, and also facilitating contributions from the populace to the expanding body of knowledge concerning the conservation of macrofungal species of Brazil.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Hongos País/Región como asunto: America do sul / Brasil Idioma: En Revista: PeerJ Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Hongos País/Región como asunto: America do sul / Brasil Idioma: En Revista: PeerJ Año: 2024 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Estados Unidos