Reproducible Project for Holistic Data Science Bootcamp
Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them.
Original Work: https://www.kaggle.com/code/theeyeschico/crop-analysis-and-prediction/notebook
Dataset: https://www.kaggle.com/datasets/siddharthss/crop-recommendation-dataset
CROP RECOMMENDATION USING WEATHER AND SOIL CONTENT
Objective of Project
The objective of this project is the user creates a forecasting model to suggest the most suitable crops to grow on a given farm based on various parameters.
About Dataset
This dataset was build by augmenting datasets of rainfall, climate and fertilizer data available for India.
Data Fields
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N - ratio of Nitrogen content in soil
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P - ratio of Phosphorous content in soil
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K - ratio of Potassium content in soil
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temperature - temperature in degree Celsius
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humidity - relative humidity in %
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ph - ph value of the soil
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rainfall - rainfall in mm