METHODS AND DEVICES FOR AUTOMATIC ASSESSMENT OF CORN

The flour yield, protein content and bulk density of cereal kernels can be determined by producing images of the cereal kernels, at least one color parameter and/or at least one geometric parameter are determined for the cereal kernels, and input signals to a neural network are produced by means of the color parameter and/or the geometric parameter. If the neural network is trained in some suitable manner, it can determine the flour yield, protein content and bulk density on the basis of the input signals.