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Crop Yield Prediction Using Machine Learning

Project type

Machine Learning

This project predicts the most suitable crop to grow based on soil and weather conditions using machine learning algorithms. The model is trained on a dataset with features like nitrogen, phosphorus, potassium, temperature, humidity, pH, and rainfall.

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