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Crop Prediction using Machine Learning

About the Project

This project focuses on crop prediction in a method that determines which crop is best to grow using several significant parameters like:

  • Nitrogen Value
  • Phosphrous Value
  • Potassium Value
  • Temperature Range
  • Humidity Content
  • pH value
  • Average Rainfall

Built With

This Section includes the list of major Frameworks/Libraries that are involved in the phase of development of this project.

  • Tensorflow
  • Python
  • Gradio

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