Welcome to Crop-Prediction-System

🌾 Crop Prediction System

A Machine Learning-based Crop Recommendation System built using Python, Django, and Scikit-learn to help farmers select the most suitable crop based on soil and environmental conditions.

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🚀 Overview

The Crop Prediction System predicts the best crop to cultivate based on input parameters such as:

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

The system uses a trained Machine Learning model integrated into a Django web application to provide real-time crop recommendations.

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🧠 Machine Learning Workflow

1. Data Collection (Crop_recommendation.csv)
2. Data Preprocessing
3. Feature Selection
4. Model Training
5. Model Evaluation
6. Model Integration with Django
7. Web-based Prediction Interface

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🏗️ Project Structure

CROP-PREDICTION-DJANGO/ │ ├── dataset/ │ └── Crop_recommendation.csv │ ├── templates/ │ ├── index.html │ ├── analyze.html │ └── About_us.html │ ├── textutils/ │ ├── views.py │ ├── urls.py │ ├── settings.py │ └── models/ │ ├── manage.py └── README.md

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⚙️ Tech Stack

• Python
• Django
• Pandas
• NumPy
• Scikit-learn
• HTML/CSS
• SQLite

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🔍 Features

• 🌱 Predict best crop based on soil nutrients
• 📊 Data-driven recommendations
• 🖥️ Web-based user interface
• 📈 Machine Learning model integration
• 🔄 Real-time prediction system

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🖥️ Installation Guide

1️⃣ Clone the Repository

git clone https://github.com/hsvarun-dev/crop-prediction-system.git
cd crop-prediction-system


python -m venv venv
venv\Scripts\activate

pip install -r requirements.txt

python manage.py runserver

http://127.0.0.1:8000/

H S Varun
Data Science & Machine Learning Enthusiast
📍 Mysore, India