Geringhoff has teamed up with start-ups to develop a system that uses high-resolution cameras to capture grains, ears of corn, or corn cobs in real time. Algorithms are used to calculate the untapped yield potential and display it to the driver in a trend line. In the future, recommendations for setting the attachment will be issued in order to increase profitability and conserve resources. Yield EyeQ is a camera-based AI system that detects unused yield potential directly on the header in real time without interrupting work. The driver is supported by a visual trend curve of the yield potential exploited, enabling them to optimally adjust settings such as the reel or air system. This allows the yield potential to be better utilized and increases the monetary yield. Less grain loss reduces the need for mechanical or chemical post-processing. This reduces the use of pesticides, fuel, and working time per hectare. Weed control in the subsequent crop is also less intensive. In this way, Yield EyeQ not only increases the efficiency and profitability of the farm, but also contributes to environmental protection, for example through reduced tillage and reduced erosion risk.

The image data captured by the camera and annotated by AI is evaluated using specially developed software and displayed to the driver in real time as a graphic representation on a display. This allows the course of unused yield potential to be clearly traced and assigned to the current field conditions. As a result, the driver can immediately see how changes to the attachment settings and field conditions have a positive or negative effect on yield.