To automate measurements and to use the plant itself as a mirror of its biological status and environment, plant characteristics will be measured by sensors. The sensors make use of optical and imaging techniques and collect data continuously. To translate raw sensor data to biologically relevant plant physiology characteristics, artificial intelligence algorithms will be developed for cucumber and chrysanthemum crops.
The outcomes will be validated with sensor data and manual measurements in trials with both crops. The intelligent algorithms for theme 2 are different from the intelligent algorithms that will be developed for autonomous greenhouse control (theme 3). Its sole task is to predict biologically relevant plant characteristics from raw sensor data.