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Adding Paddy Disease Prediction Model using Dl #303

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IkkiOcean
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Description:

This PR introduces a Convolutional Neural Network (CNN) model designed for predicting paddy diseases. The model has been trained and evaluated on a dataset of paddy images and achieves an accuracy of 80%. Below are the key details of the implementation:

Model Summary:

  • Architecture: Convolutional Neural Network (CNN)
  • Accuracy: 80%
  • Loss Function: Categorical Crossentropy
  • Optimizer: Adam
  • Dataset: Labeled images of paddy leaves

62f634d8-e0f4-4eea-919d-5466c9e694d5

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👋 Thank you for opening this pull request! We appreciate your contribution to improving this project. Your PR is under review, and we'll get back to you shortly.
Don't forget to mention the issue you solved!.

To help move the process along, please tag @UppuluriKalyani, @Neilblaze, and @SaiNivedh26 for a faster review!

@UppuluriKalyani UppuluriKalyani merged commit 5258cc3 into UppuluriKalyani:main Oct 13, 2024
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🎉🎉 Thank you for your contribution! Your PR #303 has been merged! 🎉🎉

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Feature request : Paddy Crop Disease prediction using DL models
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