Convolutional Neural Networks for Leaf Disease Classification

  • Raí G. Carvalho IESB
  • Leticia T. M. Zoby IESB

Resumo


This paper aims to improve the classification process of leaf diseases in plantations, reducing the need to have a specialist or prior knowledge of the diseases that can affect a plantation, since some diseases can spread and end with entire plantations. The proposal is the use of Convolutional Neural Networks (CNN) to classify leaf diseases in plants using images, creating a model that can be implemented in a smartphone application. The model selected for the application, using a dataset with 4485 images separated in 5 classes, had an accuracy of 97% in the test base.

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Publicado
22/10/2018
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CARVALHO, Raí G.; ZOBY, Leticia T. M.. Convolutional Neural Networks for Leaf Disease Classification. In: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 15. , 2018, São Paulo. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2018 . p. 332-342. ISSN 2763-9061. DOI: https://doi.org/10.5753/eniac.2018.4428.