🌱 SmartSoilAI

An AI-powered predictive soil analysis and smart fertilizer recommendation system built using Machine Learning, Flask, and Scikit-learn.

SmartSoilAI helps analyze soil parameters, predict soil health conditions, and recommend suitable fertilizers for improving agricultural productivity and crop sustainability.

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🚀 Features

• 🌾 Soil health prediction using Machine Learning
• 🧪 Smart fertilizer recommendation system
• 📊 Interactive dashboard interface
• 🗂 Soil records database management
• 🤖 Multiple ML model implementation
• 📈 Prediction accuracy comparison
• 🌍 Agriculture-focused AI solution

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🛠 Tech Stack

Frontend

• HTML5
• CSS3
• JavaScript
• Bootstrap

Backend

• Python
• Flask

Machine Learning

• Scikit-learn
• Pandas
• NumPy

Database

• SQLite

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🧠 Machine Learning Models Used

• Random Forest Classifier
• Bagging Classifier
• Decision Tree Classifier

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📂 Project Structure

SmartSoilAI/
│
├── media/
├── user_management/
├── templates/
├── static/
│
├── data_cleaning.ipynb
├── feature_engineering.ipynb
├── random_forest_training.ipynb
├── bagging_model_training.ipynb
│
├── soil_health.csv
├── soil.pkl
├── app.py
├── requirements.txt
└── README.md

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📸 Screenshots

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⚙️ Installation

1️⃣ Clone the Repository

git clone https://github.com/iblamesrix/SmartSoilAI.git

2️⃣ Navigate to Project Folder

cd SmartSoilAI

3️⃣ Create Virtual Environment

python -m venv venv

4️⃣ Activate Environment

Windows

venv\Scripts\activate

Linux/Mac

source venv/bin/activate

5️⃣ Install Dependencies

pip install -r requirements.txt

6️⃣ Run the Application

python app.py

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📊 Input Parameters

The system analyzes multiple soil parameters including:

• Soil pH
• Organic Carbon
• Electrical Conductivity
• Soil Moisture
• Temperature
• Humidity
• Bulk Density
• Biochar Application Rate

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📈 Model Performance

Model	Accuracy
Random Forest	94%
Bagging Classifier	91%
Decision Tree	88%

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🌍 Real World Applications

• Smart farming solutions
• Precision agriculture
• Soil monitoring systems
• Fertilizer optimization
• Agricultural research

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🔮 Future Enhancements

• Deep Learning integration
• Real-time IoT sensor support
• Satellite soil analysis
• Mobile application
• Cloud deployment
• Weather API integration

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🧑‍💻 Author

Sri Kanth

Machine Learning Enthusiast | AI Developer | Full Stack python devloper

• GitHub: https://github.com/iblamesrix
• LinkedIn: https://www.linkedin.com/in/sri-kanth-3a696822a/

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📜 License

This project is licensed under the MIT License.

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