Intelligent Insights for Smarter Agriculture
Prototype research independently developed by Keshari Nandan
Open-source initiative by Codxvoid ·
Contact: devsorg@hotmail.com
AgroAi is an intelligent multi-agent system designed to empower modern agriculture using real-time and inferred data across diverse domains:
- Geolocation & Weather Integration
- Temperature & Climate Impact Modeling
- Chemical Usage Tracking with Human Health Impact Analysis
- Crop Suitability & Productivity Forecasting
- Terminal / CLI-based AI Query System
Powered by AgroAi Agents With Using Tech-infra of Ai-LLM, AgroAI doesn't just answer — it predicts, explains, and advises.
“What crop is best for this district this month, considering current weather, past yield, and fertilizer usage?”
AgroAi will:
- Analyze location & climate
- Infer soil condition based on geography
- Track past chemical inputs (manual or database-fed)
- Evaluate crop impact on human health due to residuals
- Suggest ideal crops with reasoning
- Core agent planning:
- Data integration module:
- CLI interface:
- Deployment-ready MVP:
© 2025 codxvoid — All rights reserved.
This research is shared under GNU General Public License v3.0 & Creative Commons BY-NC-ND 4.0.
Please do not use for commercial purposes without permission.
- Code: GNU General Public License v3.0
- Research, Abstract, and Documentation: Creative Commons BY-NC-ND 4.0
This repository is maintained by Codxvoid, an open research lab.
For contributions, collaborations, or usage requests, contact us at
Project by:
Keshari Nandan
AgroAi © 2025 by CodxVoid is licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
The source code is open-source and released under the GNU General Public License v3.0 (June 29, 2007).