Plant Classification Using Weighted k-NN Variants

  • Larissa F. S. Britto UFRPE
  • Luciano D. S. Pacifico UFRPE
DOI: https://doi.org/10.5753/eniac.2018.4404

Resumo


A identifição automática de espécies de plantas é um grande desafio na taxonomia botânica. Vários trabalhos têm sido propostos visando o desenvolvimento de sistemas automáticos de reconhecimento de plantas através da aprendizagem de máquina. Um dos algoritmos mais populares na classificação de plantas é o dos k-Vizinhos mais Próximos (k-NN), dada sua simplicidade e robustez. Neste trabalho, a performance de duas variações ponderadas do k-NN é avaliada no cenário de classificação de plantas. A avaliação experimental inclui três bases de dados reais obtidas por diferentes técnicas de processamento de imagens e extração de características. Uma avaliação geral é executada através do uso de testes estatísticos.

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Publicado
22/10/2018
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BRITTO, Larissa F. S.; PACIFICO, Luciano D. S.. Plant Classification Using Weighted k-NN Variants. In: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 15. , 2018, São Paulo. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2018 . p. 58-69. ISSN 2763-9061. DOI: https://doi.org/10.5753/eniac.2018.4404.