the-pinbo/crop-prediction
Developed a machine learning-based crop prediction model to assist farmers in making informed decisions about crop selection, planting, and harvesting.Integrated weather and geolocation APIs along with a web page for simplified user experience.
This tool helps farmers make informed decisions about which crops to plant and when to harvest them. By inputting details like soil nutrient levels (nitrogen, phosphorus, potassium, pH), geolocation, and the desired planting month, farmers receive recommendations on suitable crops. This is designed for agricultural professionals, farm managers, and individual farmers looking to optimize their crop selection.
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Use this if you are a farmer who wants data-driven recommendations for crop selection and planting times to improve yield and profitability.
Not ideal if you need a tool for real-time crop monitoring, pest detection, or detailed irrigation scheduling.
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Jupyter Notebook
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Last pushed
Feb 19, 2023
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