Projects AGRIFARM-AI
AGRIFARM-AI
Autonomous agricultural management platform integrating hybrid VLC/RF networks, multi-agent reinforcement learning, and agentic AI for precision farming.
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The question
Controlled-environment agriculture lives or dies on responsiveness: light, climate, and crop state change faster than manual management can follow. Can a networked, learning management layer keep pace while keeping its decisions auditable?
Research line
The project carries hybrid VLC/RF networking into the greenhouse, where connectivity and crop-aware decision making meet.
Approach
Hybrid VLC/RF links carry sensing and control traffic; multi-agent reinforcement learning optimizes network and environment decisions; an agentic layer coordinates the whole. The description goes only as far as the published record supports.
- Connectivity
- Hybrid VLC/RF links
- Learning
- Multi-agent reinforcement learning
- Coordination
- Agentic AI
Connected publications
The published trail behind the project.
3related records