README.md

metadata

license: mit
title: MultiAgenticAIForSustainableFarming
sdk: streamlit
emoji: 🌱
colorFrom: green
colorTo: yellow
sdk_version: 1.38.0
app_file: app.py
pinned: false
short_description: AI system for sustainable farming using intelligent agents.

🌱 Agentic AI for Sustainable Farming

Agentic AI for Sustainable Farming is a multi-agent intelligent system designed to transform agriculture by bringing together farmers, weather stations, and agricultural experts for smarter, data-driven decisions.

This AI-powered tool promotes sustainability, resource optimization, and improved farmer livelihoods through collaborative agent-based logic.

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🚀 Key Features

• 🌾 Farmer Agent – Collects crop and soil preferences
• 🌦️ Weather Analyst Agent – Forecasts rainfall & temperature
• 🧑‍🔬 Sustainability Expert Agent – Tracks environmental impact
• 🔁 Crop Rotation Planner
• 🧮 Fertilizer Optimization Calculator
• 🐛 Pest & Disease Predictor
• 🌐 Multi-lingual Support (10+ Indian languages)
• 🔐 Farmer Login & Secure Access
• 📊 Sustainability Score Tracker with real-time visualization

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🧑‍💻 How It Works

Using a Streamlit interface, the system allows users (farmers) to input their details and receive personalized recommendations powered by:

• Machine learning models (scikit-learn)
• Multi-agent collaboration (LangChain, PyAutoGen)
• Real-time weather and crop data
• SQLite database storage

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🛡 License

This project is licensed under the MIT License.
© 2025 B Chaitanya Reddy and Team.

See full terms in the LICENSE file.

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👥 Team Credits

• B Chaitanya Reddy – Lead Developer & System Architect
• Taarun Adithya SK – AI Modeling & Pest Predictor
• Mohammed Saad – Database Design & Market Analytics
• Mohammed Touhid – Frontend & UI Enhancement

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🔗 GitHub Repository

View full code and documentation here:
👉 GitHub - Agentic AI for Sustainable Farming

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🌍 Let’s build a sustainable farming future, together.