How could agents coordinate energy systems?
Connect existing software, forecasts, market data and grid information through APIs, MCP servers and tool calling. Design an agent architecture for a coordinated energy decision.
One-day AI hackathon
Team up to design agentic AI systems that help greenhouses balance crop needs with grid limits.
For students, researchers, growers and industry professionals.
· 09:30–17:00 CET
Wageningen University & Research
€4,500 in prizesAcross three winning concepts
In English · Free lunch, snacks and coffee

Greenhouses consume, but also generate and store energy. Combined heat and power (CHP), batteries and thermal storage offer flexibility, but coordination is an open challenge.
How to deal with changing weather and energy prices while keeping crops healthy and working within the limits of the electricity grid. During this hackathon, we'll explore where AI agents could help and how.
Connect existing software, forecasts, market data and grid information through APIs, MCP servers and tool calling. Design an agent architecture for a coordinated energy decision.
Explore how energy managers understand, supervise, approve and override agent decisions. Decide what agents can do autonomously and how people can step in when needed.
Make sure the system respects grid limits, battery capacity and crop needs, even when things change or go wrong. How can we test if it works and compare it against today’s simpler rule-based approach.
Use the day to explore a thesis topic, test a research assumption with practitioners or work through an energy decision you face in a greenhouse.
Work in energy or horticulture? Bring your industry challenges to the table, share your expertise, explore innovative solutions and collaborations with fellow experts & students.

MSc students, PhD candidates, researchers, growers, energy managers and industry specialists.
Agent design, data and systems integration
Grid operation, energy markets and flexibility
Cultivation, operations and energy management
Human–AI interaction, behavioural science and systems design
Spend a day with people who grow crops, manage energy and design AI systems. Turn a greenhouse energy question into a concept you can present.