🌱 FarmAIQ - Smart Agriculture Recommendation System

Empowering Farmers with AI-Driven Insights for Sustainable Farming

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📋 Overview

A Smart Agriculture Recommendation System is an AI-based application that helps farmers by: • Selecting the best crop based on soil and environmental conditions • Choosing the most suitable fertilizer for better yield • Detecting plant diseases early to prevent crop damage It uses data and machine learning techniques to provide accurate and efficient farming recommendations.

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✨ Key Features

🌱 Crop Recommendation

• Analyzes soil nutrients (N, P, K)
• Considers weather conditions
• Suggests the best crop to grow

🧪 Fertilizer Advisory

• Detects nutrient deficiencies in the soil
• Recommends suitable fertilizers

🦠 Disease Detection

• Detects plant diseases using leaf images
• Provides treatment suggestions

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📊 Technologies Used

• Python
• Streamlit
• Scikit-learn
• TensorFlow / Keras
• Pandas / NumPy

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📂 Project Structure

FarmAIQ/
│
├── app.py
├── requirements.txt
├── models/
├── data/
├── images/
└── README.md

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⚙️ Installation (Single Command)

git clone https://github.com/codexshami/FarmAIQ.git && cd FarmAIQ && python -m venv venv && (venv\Scripts\activate || source venv/bin/activate) && pip install -r requirements.txt && streamlit run app.py

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🚀 Run Application

streamlit run app.py

👉 Open in browser:
http://localhost:8501

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📸 Screenshots

Dashboard

Crop Recommendation

Plant Disease Analysis

Smart Fertilizer Suggestion

Weather Insights

Statistics

AI Crop Detection

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📈 Performance

• Crop Recommendation Accuracy: 99%
• Disease Detection Accuracy: 98%

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🤝 Contributing

1. Fork the repository
2. Create a new branch
3. Commit changes
4. Push & create PR

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📜 License

This project is licensed under the MIT License.

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🌟 Support

If you like this project, please give it a ⭐ star!

Made with ❤️ by Codexshami