DETECTING PLUGGING OF GROUND-ENGAGING TOOLS OF AN AGRICULTURAL IMPLEMENT FROM IMAGERY OF A FIELD USING A MACHINE-LEARNED CLASSIFICATION MODEL

In one aspect, a computing system may be configured to perform operations including obtaining image data that depicts a portion of a field positioned aft of a ground-engaging tool of an agricultural implement relative to a direction of travel of the agricultural implement. The operations may also include inputting the image data into a machine-learned classification configured to receive imagery and process the imagery to output one or more visual appearance classifications for the imagery. Furthermore, the operations may include receiving a visual appearance classification of the image data as an output of the machine-learned classification model. Additionally, the operations may include determining when the ground-engaging tool is plugged based on the visual appearance classification of the image data.