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A crop recommendation API using a machine learning with an accuracy of 99.18%.

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prince-c11/crop_recommendation_API

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Crop Recommendation API

This project implements a crop recommendation system using a Random Forest classifier with an accuracy of 99.18%. It is deployed and accessible at cropok-production.up.railway.api.

Now, URL is not working because free trial limit is exceeded.

Features

  • Utilizes Random Forest algorithm for accurate crop recommendations.
  • Converts the model into a Flask API for easy integration.

Input Parameters

  • Nitrogen
  • Phosphorus
  • Potassium
  • Temperature
  • Humidity
  • Ph

Note

The API is currently not working due to the free trial limit being exceeded. You are free to deploy and use it in your own environment.

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A crop recommendation API using a machine learning with an accuracy of 99.18%.

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