Convolutional Neural Networks for Detection of European Apple Canker

• Ântony de Aguiar Salvi IFSC
• Paulo C. Camargo Jr IFSC
• Wilson Castello Branco Neto IFSC
• Carlos Andres Ferrero IFSC
• Andrey de Aguiar Salvi IFSC / Lojas Renner S.A

DOI: https://doi.org/10.5753/erbd.2024.238710

Abstract

European Apple Canker affects orchards from several countries and emerged in Brazil in Rio Grande do Sul spreading to other states that represent a large portion of the production of apple. The disease is a threat due to its rapid spread and for the difficulty to detect it. In order to solve this problem, a CNN was proposed for disease classification. The result in validation set for F-Beta was 0.795, obtained by VGG19, with 0.878 in precision and 0.591 in recall. The results show the possibility of using CNN for european canker detection, although they still can be improved.

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