🌾 Dr. Cotton Platform
Modular AI-powered platform for smart cotton farming — combining chatbot interaction, predictive analytics, and data visualization.
📖 Overview
Dr. Cotton is an integrated platform for smart crop management, designed to support cotton producers and researchers through conversational AI, predictive modeling, and intuitive dashboards.
Built as a modular system, it offers access to canopy analytics, growth regulator recommendations, irrigation scheduling, and yield predictions — all accessible via a chatbot interface and visual tools.
Developed in collaboration with researchers at Texas A&M AgriLife Research & Extension Center – Corpus Christi.
The platform was presented at the AI in Agriculture Conference in 2025, showcasing its potential to revolutionize precision agriculture through AI and data-driven insights. You can find the poster here.
🛠️ Technologies Used
- Chatbot Framework: RASA Open Source (
dr_cotton_rasa) - Frontend: Flutter (cross-platform app with support for Android, iOS, and Web)
- Backend API: Django REST Framework (
dr_cotton_api) - Machine Learning: Digital Twin-based yield prediction, canopy estimation
- Visualization: Heatmaps and time series charts for canopy features
- Deployment: Docker, SQLite (local dev) and PostgreSQL (production)
🚀 Features
- ✅ Conversational assistant for agronomic insights
- ✅ Real-time queries on canopy metrics (cover, volume, height, greenness)
- ✅ Yield prediction from sensor and remote data
- ✅ Automated PGR (Plant Growth Regulator) recommendations
- ✅ Irrigation scheduling suggestions
- ✅ Role-based access and API token support
- ✅ Multilingual support in progress (English + Spanish)
🖼️ Screenshots
| Description | Image |
|---|---|
| Main Menu |  |
| Chat Start |  |
| Chat Query 1 |  |
| Chat Query 2 |  |
| Chat PGR Recommendation |  |
| Linechart |  |
| Heatmap |  |
🗺️ Platform Workflow
- 🌱 User interacts with the chatbot or dashboard.
- 🧠 RASA detects intent, calls Django API via custom actions.
- 📡 API pulls or computes agronomic data.
- 💬 Response is returned via natural-language format or visualized in-app.
💬 Sample Queries
- “What’s the canopy cover in field A?”
- “Show me the canopy volume for the last week.”
- “Do I need to apply PIX this week?”
- “What’s the canopy height in field A?”
📈 Future Roadmap
- Cost-effectiveness module for agronomic inputs
- Integration with remote imagery pipelines
- Support for other crops (e.g., corn, soybeans)
- Advanced analytics (e.g., machine learning models)
🤝 Contributing
Dr. Cotton is a research-focused platform, actively developed at Texas A&M AgriLife Research & Extension Center Corpus Christi.
We welcome feedback, collaboration ideas, and domain contributions related to precision agriculture, AI in farming, and decision support tools.
📄 License
Currently released for internal academic and research use only.