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state-of-the-art-models

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"Plant Disease Identification for Improved Agriculture" presents a curated selection of CNN models, including AlexNet, DenseNet121, and EfficientNetB0, achieving up to 99.94% accuracy in detecting plant diseases through image analysis. This repository demonstrates the power of deep learning combined with ensemble techniques to enhance precision.

  • Updated Jul 7, 2024
  • Python

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