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Bean plants have provided us with a rich source of food and industrial materials. However, diseases have significantly affected the production of bean plants. The recognition of bean plant diseases is an important step in the treatment of diseases. In recent years, deep neural networks have shown the leading performance for the image classification task. The paper presents a method for the recognition of diseased bean leaves. The vision of transformer (ViT) network has been applied to improve the accuracy of the recognition of diseased bean leaves. Moreover, data augmentation techniques have been applied to enlarge the image dataset to efficiently train the network. Obtained results of 97% for the classification of diseased bean leaves have shown the effectiveness of the proposed method.

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Classification of Diseases of Bean Plant Leaves Using Data Augmentation and Deep Neural Networks

  • 会议论文

  • 发表日期：

    2025年

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  • Bui Hai Phong,
  • Phuong Anh Nguyen,
  • Tran Dang Quyet,
  • Phung Duc An,
  • Phan Duc Tri,
  • Le Anh Ngoc

摘要

Bean plants have provided us with a rich source of food and industrial materials. However, diseases have significantly affected the production of bean plants. The recognition of bean plant diseases is an important step in the treatment of diseases. In recent years, deep neural networks have shown the leading performance for the image classification task. The paper presents a method for the recognition of diseased bean leaves. The vision of transformer (ViT) network has been applied to improve the accuracy of the recognition of diseased bean leaves. Moreover, data augmentation techniques have been applied to enlarge the image dataset to efficiently train the network. Obtained results of 97% for the classification of diseased bean leaves have shown the effectiveness of the proposed method.