Kickstart AI x Pie & AI: AI in Agriculture

AI in Agriculture: From data to sustainable yields

Important! This is a free event, but registration is required! To secure your spot, please register via this link.

When: Thursday, May 28, 2026, 17:30 - 21:00
Where: The Hague University of Applied Sciences

Agriculture is becoming a data-driven system. From greenhouse climate control to satellite-based land monitoring, AI is increasingly embedded in how decisions are made, optimized, and scaled.

This meetup explores how AI is applied in agricultural environments where conditions are dynamic, biological systems introduce uncertainty, and decisions have direct operational impact.

What’s on the agenda?

• Autonomous climate control in greenhouses: Saheli D, Senior Data Scientist & Product Owner at Blue Radix will dive into the architecture of CropController, Blue Radix’s system for autonomous climate and irrigation management.
She will discuss how the system optimizes for complex variables in real-time, the technical challenges of building autonomous loops for living crops, and why building the algorithm was only half the battle.

• Where AI meets biology: forecasting yield in greenhouses: Tobias Platenburg, Director of Engineering at Source.ag, will explore the limits of conventional AI when applied to biological systems. Using Source’s Harvest Forecast product as a case study, he will show why yield prediction is not a straightforward time series problem, and how hybrid approaches—combining machine learning with mechanistic plant models—are used to produce reliable forecasts in real-world greenhouse operations.
• Satellite data for agricultural decision-making:
Ramadhan, GeoAI & Earth Observation Engineer, Space4Good will share how satellite data is used to monitor and analyze land use, forestry, biomass, and flood risk and how these insights translate into agricultural decision-making.



Is this for you?
The event is aimed at engineers, data scientists, and practitioners interested in how AI systems operate in environments where models interact directly with the physical world. Expect practical case studies such as crop monitoring and yield prediction, smart irrigation, greenhouse climate optimization, and data-driven decision support for farmers. But also anyone who is interested in how cutting-edge AI techniques are applied to growng the food we eat!

👉Register now to secure your spot!

Dinner and refreshments provided. There will be pies, of course!