https://github.com/pranav-nagpure/plant-disease-prediction-nb

IPython Notebook to build the model for Plant Disease Prediction
https://github.com/pranav-nagpure/plant-disease-prediction-nb

efficientnet image-augmentation ipython-notebook keras-tensorflow machine-learning scikit-learn

Last synced: 27 days ago
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IPython Notebook to build the model for Plant Disease Prediction

• Host: GitHub
• URL: https://github.com/pranav-nagpure/plant-disease-prediction-nb
• Owner: Pranav-Nagpure
• Created: 2023-04-23T13:46:21.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-05-19T15:26:24.000Z (over 1 year ago)
• Last Synced: 2024-10-11T14:43:13.620Z (27 days ago)
• Topics: efficientnet, image-augmentation, ipython-notebook, keras-tensorflow, machine-learning, scikit-learn
• Language: Jupyter Notebook
• Homepage:
• Size: 7.54 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        


# __Plant Disease Prediction__

### Built Using

  

[![Python][python-shield]][python-url]

[![Keras][keras-shield]][keras-url]

[![TensorFlow][tensorflow-shield]][tensorflow-url]

[![ScikitLearn][scikit-learn-shield]][scikit-learn-url]

[![Matplotlib][matplotlib-shield]][matplotlib-url]

[![NumPy][numpy-shield]][numpy-url]

[![Pandas][pandas-shield]][pandas-url]

Visit the GitHub Repository of Web Application



## __About__



Predict the Disease in Plants from its images using the Efficient Net Model.

- Model is built and trained without transfer learning.

- Dataset has high class imbalance which is addresed by generating augmented images for classes with less data and sampling equal number of images for each class.

Data Source: https://www.kaggle.com/datasets/saroz014/plant-disease



[python-shield]: https://raw.githubusercontent.com/Pranav-Nagpure/Support-Repository/master/images/python-shield.png "Python"

[python-url]: https://www.python.org

[scikit-learn-shield]: https://raw.githubusercontent.com/Pranav-Nagpure/Support-Repository/master/images/scikit-learn-shield.png

[scikit-learn-url]: https://scikit-learn.org/stable "Scikit-Learn"

[keras-shield]: https://raw.githubusercontent.com/Pranav-Nagpure/Support-Repository/master/images/keras-shield.png

[keras-url]: https://keras.io "Keras"

[tensorflow-shield]: https://raw.githubusercontent.com/Pranav-Nagpure/Support-Repository/master/images/tensorflow-shield.png

[tensorflow-url]: https://www.tensorflow.org "TensorFlow"

[matplotlib-shield]: https://raw.githubusercontent.com/Pranav-Nagpure/Support-Repository/master/images/matplotlib-shield.png

[matplotlib-url]: https://matplotlib.org "Matplotlib"

[numpy-shield]: https://raw.githubusercontent.com/Pranav-Nagpure/Support-Repository/master/images/numpy-shield.png

[numpy-url]: https://numpy.org "NumPy"

[pandas-shield]: https://raw.githubusercontent.com/Pranav-Nagpure/Support-Repository/master/images/pandas-shield.png

[pandas-url]: https://pandas.pydata.org "Pandas"