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Publicação
Leaf-based species recognition using convolutional neural networks
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Orientador(es)
Resumo(s)
Identifying plant species is an important activity in specie
control and preservation. The identification process is carried out mainly
by botanists, consisting of a comparison of already known specimens or
using the aid of books, manuals or identification keys. Artificial Neural
Networks have been shown to perform well in classification problems
and are a suitable approach for species identification. This work uses
Convolutional Neural Networks to classify tree species by leaf images. In
total, 29 species were collected. This work analyzed two network models,
Darknet-19 and GoogLeNet (Inception-v3), presenting a comparison
between them. The Darknet and GoogLeNet models achieved recognition
rates of 86.2% and 90.3%, respectively.
Descrição
Palavras-chave
Leaf recognition Tree classification
Contexto Educativo
Citação
Pires, Willian Oliveira; Fernandes, Ricardo Corso; Paula Filho, Pedro Luiz de; Candido Junior, Arnaldo; Teixeira, João Paulo (2021). Leaf-based species recognition using convolutional neural networks. In 1st International Conference on Optimization, Learning Algorithms and Applications, OL2A 2021. p. 367-380. ISBN 978-3-030-91884-2