Crop Prediction App

This is a Streamlit application that predicts suitable crops based on soil and environmental parameters.

Features

• Input parameters for nitrogen, phosphorus, potassium, temperature, humidity, pH value, and rainfall.
• Predicts the recommended crop based on the input parameters using a trained machine learning model.

Requirements

• Python 3.13
• Streamlit
• Joblib
• NumPy
• Scikit-learn

Installation

1. Clone the repository or download the files.
2. Navigate to the project directory:

   cd C:\Users\admin\Documents\CROP_RECOMMENDER 

3. Install the required packages

pip install streamlit joblib numpy pillow scikit-learn

Usage Run the Streamlit app

C:\Program Files\Python313\python.exe -m streamlit run app.py

2. Open your web browser and go to http://localhost:8501 to access the app. Input Parameters Nitrogen content (N): Amount of nitrogen in the soil. Phosphorus content (P): Amount of phosphorus in the soil. Potassium content (K): Amount of potassium in the soil. Temperature (°C): Ambient temperature. Humidity (%): Percentage of humidity. pH value of soil: pH level of the soil. Rainfall (mm): Amount of rainfall.

License This project is licensed under the MIT License.

Make sure to save the changes to your file.