gbiamgaurav / Crop_prediction_with_MLflow

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Crop prediction with MLflow

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Context:

Precision agriculture is in trend nowadays. It helps the farmers to get informed decision about the farming strategy. Here, we present you a solution which would recommend the most suitable crops to grow in a particular farm based on various parameters.

Source:

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

Data Description:

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

COPYRIGHT: Indian Chamber of Food and Agriculture https://www.icfa.org.in/

Tech Stack used:

Python

streamlit

mlflow

About

License:Eclipse Public License 2.0


Languages

Language:Jupyter Notebook 69.8%Language:Python 30.2%