Our vision is that farmers using
our technologies will only need to determine which plants they want to cultivate, and what properties the plants should have. All other tasks, such as sowing, watering, fertilizing and harvesting, must be automated and run efficiently and transparently. In our model laboratory, we show in-house and external customers that this is how the future could look.
Model Predictive Control provides a powerful framework for optimizing grow recipes by considering the dynamic nature of plant growth systems, optimizing multiple variables, handling constraints, promoting resource efficiency, and ensuring process safety. These advantages make MPC an effective tool for achieving optimal plant growth in various cultivation settings.
