Crop Recommendation System

📌 Overview

This project recommends the most suitable crop to grow based on soil and environmental conditions using Machine Learning. The model analyzes factors such as soil nutrients, temperature, humidity, rainfall, and pH level to suggest the best crop for cultivation.

🚀 Features

• Data preprocessing and cleaning
• Exploratory Data Analysis (EDA)
• Machine learning model training
• Crop recommendation based on soil data

🛠️ Tech Stack

• Python
• Pandas
• NumPy
• Matplotlib / Seaborn
• Scikit-learn
• Jupyter Notebook

📊 Dataset

The dataset contains agricultural parameters such as:

• Nitrogen (N)
• Phosphorus (P)
• Potassium (K)
• Temperature
• Humidity
• pH value
• Rainfall

Output: Recommended crop type. :contentReference[oaicite:1]{index=1}

⚙️ How to Run

Clone the repository:

git clone https://github.com/Pranayh/Crop-Recommendation-System.git

Navigate to the project folder:

cd Crop-Recommendation-System/project\ python

Install dependencies:

pip install -r requirements.txt

Run the notebook using Jupyter.

👨‍💻 Author

Pranay Haramwar

GitHub: https://github.com/Pranayh

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