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rice-leaf-diseases

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This project aims to detect diseases on the leaves of rice plants in Indonesia using the Convolutional Neural Network (CNN) Inception V3 method to design a classification model and produce a high level of accuracy.

  • Updated Oct 12, 2023
  • Jupyter Notebook

A deep learning project for detecting and classifying rice leaf diseases using the ResNet-50 architecture. Includes data augmentation, transfer learning, and evaluation metrics such as accuracy, precision, recall, and confusion matrix. Achieves over 98% accuracy in classifying four classes: Bacterial Blight, Blast, Brown Spot, and Tungro.

  • Updated Dec 14, 2024
  • Jupyter Notebook

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