Made And Deployed Another Machine Learning Model Using Streamlit πŸŽ‰

Check Out Amazing The Website :sparkles: :- https://crop-prediction-application.streamlit.app/

:package: Crop Prediction Model

This is a machine learning model developed to predict the most suitable crop to cultivate based on key environmental factors such as:

  • :round_pushpin: Geolocation (Latitude & Longitude)
  • :thermometer: Temperature
  • :droplet: Humidity
  • :cloud_with_rain: Rainfall
  • :test_tube: Soil pH
  • :dna: Nitrogen
  • :test_tube: Phosphorus
  • :alembic: Potassium

:globe_with_meridians: Application Interface

This model is integrated into a Streamlit-based web app that allows users to:

  • Use Map + GPS detection to fetch their current location.
  • Manually input latitude and longitude for location-specific predictions.

The model uses refined agricultural datasets and custom preprocessing techniques to achieve accurate crop recommendations optimized for Indian farming conditions.

For Dataset you may refer :- Crop Production Data ( Raw + Refined) | Kaggle

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