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A newer version of the Gradio SDK is available: 4.36.1

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Crop Recommendation

Harnessing the capabilities of machine learning models, analyzes specific parameters to suggest the most suitable crops, optimizing yields and efficiency.

Demo

Input Interface

Image 1

Output Interface

Image 1

Data Source

This dataset contains information about the soil and environmental conditions that are ideal for growing different crops. The dataset includes the following columns:

  • N: The ratio of nitrogen content in the soil.
  • P: The ratio of phosphorus content in the soil.
  • K: The ratio of potassium content in the soil.
  • Temperature: The temperature in degrees Celsius.
  • Humidity: The relative humidity in percent.
  • pH: The pH value of the soil.
  • Rainfall: The rainfall in millimeters.

Link for the dataset

Supported crops
  • Apple
  • Blueberry
  • Cherry
  • Corn
  • Grape
  • Pepper
  • Orange
  • Peach
  • Potato
  • Soybean
  • Strawberry
  • Tomato
  • Squash
  • Raspberry

Project Details

This is repository is submodule for CropGaurd

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