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README.md

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+# Random Forest Regressor for Nutrient Needs Prediction
+
+This repository contains a Random Forest Regressor model trained to predict the nutrient needs for various crops based on features such as target yield, field size, pH, organic carbon, total nitrogen, phosphorus, potassium, and soil moisture.
+
+## Model Description
+
+The model is a Random Forest Regressor, which is an ensemble learning method for regression that operates by constructing multiple decision trees during training and outputting the average of the predictions of the individual trees. This approach helps in improving the model's accuracy and robustness.
+
+## Training Data
+## Usage
+
+### Loading the Model
+
+To use the model, first load it using `joblib`: