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A machine learning system that makes crop recommendations based on soil and weather data.

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Crop Recommendation System Using Soil and Weather Data

A machine learning system that makes crop recommendations based on soil and weather data.

Dataset

Source: Kaggle Crop Recommendation Dataset

This dataset was build by augmenting datasets of rainfall, climate and fertilizer data available for India. Gathered over the period by ICFA, India.

Data Fields

  • N - ratio of Nitrogen content in soil
  • P - ratio of Phosphorous content in soil
  • K - ratio of Potassium content in soil
  • temperature - temperature in degree Celsius
  • humidity - relative humidity in %
  • ph - ph value of the soil rainfall - rainfall in mm

ML Models

  • SGD Classifier
  • K-Nearest-Neighbors
  • Decision Tree

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A machine learning system that makes crop recommendations based on soil and weather data.

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