An agricultural working machine comprising an image processing system, a regulating and control unit, a data output unit and at least one image generating system, wherein the image processing system processes a selection of images of the surroundings in an image analysis unit, wherein the image generating system is configured so as to generate images of the surroundings and to transfer the images of the surroundings to the image processing system, characterized in that the image processing system is configured: in a first step, to pre-process the transferred images of the surroundings, wherein in the first step, preprocessing of the transferred images of the surroundings is carried out by means of at least a normalization of the transferred images of the surroundings and comprises at least an intensity normalization, a colour normalization and a selection of a region of interest in the transferred images of the surroundings, and in the case of intensity normalization, a respective pixel-specific intensity correction factor is determined for each pixel by means of at least one reference image, and the intensity of each pixel of the transferred images of the surroundings is corrected with the respective pixel-specific intensity correction factor, in a further step, to segment the pre-processed images of the surroundings, wherein in the further step, the image processing system segments the pre-processed images of the surroundings into segments with pixels of identical or similar colour or intensity, in a next step, to classify the segments which are formed, wherein in the next step, the image processing system classifies the segments in such a way that it initially computes at least one segment feature from each respective segment, wherein the at least one segment feature is computed from the respective intensities of the pixels of the respective segment and/or from the grey levels of the pixels of the respective segment and, with the aid of a support vector machine, wherein the support vector machine is a mathematical method for classifying segments, classifies each segment into a class with the aid of the at least one computed segment feature and classified images of the surroundings with classified segments are produced, wherein anomalies are assigned to the classes and the anomalies are objects in the surroundings of the agricultural working machine which have a direct influence on the operation of the agricultural working machine, wherein at least one segment feature is associated with each class, so that classified images with identifiable anomalies are generated, and in a subsequent step, to generate an image data set which is suitable for further processing from the classified images of the surroundings with the classified segments by means of warping, stitching or a conversion into an occupancy grid, and the regulating and control unit is configured to control the agricultural working machine with the aid of the image data set which is suitable for further processing. in a first step, to pre-process the transferred images of the surroundings, wherein in the first step, preprocessing of the transferred images of the surroundings is carried out by means of at least a normalization of the transferred images of the surroundings and comprises at least an intensity normalization, a colour normalization and a selection of a region of interest in the transferred images of the surroundings, and in the case of intensity normalization, a respective pixel-specific intensity correction factor is determined for each pixel by means of at least one reference image, and the intensity of each pixel of the transferred images of the surroundings is corrected with the respective pixel-specific intensity correction factor, in a further step, to segment the pre-processed images of the surroundings, wherein in the further step, the image processing system segments the pre-processed images of the surroundings into segments with pixels of identical or similar colour or intensity, in a next step, to classify the segments which are formed, wherein in the next step, the image processing system classifies the segments in such a way that it initially computes at least one segment feature from each respective segment, wherein the at least one segment feature is computed from the respective intensities of the pixels of the respective segment and/or from the grey levels of the pixels of the respective segment and, with the aid of a support vector machine, wherein the support vector machine is a mathematical method for classifying segments, classifies each segment into a class with the aid of the at least one computed segment feature and classified images of the surroundings with classified segments are produced, wherein anomalies are assigned to the classes and the anomalies are objects in the surroundings of the agricultural working machine which have a direct influence on the operation of the agricultural working machine, wherein at least one segment feature is associated with each class, so that classified images with identifiable anomalies are generated, and in a subsequent step, to generate an image data set which is suitable for further processing from the classified images of the surroundings with the classified segments by means of warping, stitching or a conversion into an occupancy grid, and the regulating and control unit is configured to control the agricultural working machine with the aid of the image data set which is suitable for further processing.