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Abstract

An image analysis method and system for the computer-implemented determination of the degree of grain cracking of grains within a flow of harvested material processed by working units of a forage harvester. The flow of harvested material comprises whole grains and crushed grains as grain components and non-grain components. The at least one working unit is automatically controlled depending on the degree of grain cracking. Images of the flow of harvested material are cyclically recorded using an optical recording device and transmitted to an image analysis apparatus for evaluation. The image analysis apparatus, in a first stage classifies image pixels contained in the images into grain components and non-grain components, and in a second stage, determines a length of a long main axis and a short main axis of each classified grain component via a length-width comparison, with the first stage and the second stage performed by a neural network.

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