Projects AGRIFARM-AI
AGRIFARM-AI
An autonomous agricultural management platform integrating hybrid VLC/RF networks, multi-agent reinforcement learning, and agentic AI for precision farming in controlled environments.
01The 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?
02Research line
The project carries hybrid VLC/RF networking into the greenhouse, where connectivity and crop-aware decision making meet.
03Approach
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.
04Connected publications
The published trail behind the project.