Deep Learning for Rice Leaf Disease Classification in Smallholder Farms

Siti Rahmawati Universitas Gadjah Mada
Budi Santoso Institut Teknologi Bandung
Published: 2026-07-01 Vol. 1 No. 1 (2026): Inaugural Issue: Advances in Applied Informatics Research Articles

Abstract

This study proposes a lightweight convolutional neural network for classifying rice leaf diseases from smartphone images captured in Indonesian smallholder farms. Trained on 8,400 field images across four disease classes, the model attains 96.2% accuracy while running on-device, enabling offline diagnosis where connectivity is limited.

Keywords

  • deep learning
  • rice disease
  • CNN
  • precision agriculture
  • Indonesia

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