Measuring crop residue from imagery using a machine-learned classification model

A computer-implemented method, comprising:

• obtaining, by a computing system comprising one or more computing devices, image data that depicts a portion of a field;
• extracting, by the computing system, a plurality of patches from the image data;
• respectively, by the computing system, inputting each of the plurality of patches from the image data into a machine-learned crop residue classification model;
• receiving, by the computing system, a respective crop residue classification for each of the plurality of patches as an output of the machine-learned crop residue classification model;
• and
• determining, by the computing system, a crop residue parameter value for the image data based at least in part on the respective crop residue classifications received for the plurality of patches.

An agricultural work vehicle or implement, comprising:

• one or more imaging devices;
• and
• a controller comprising one or more processors and one or more non-transitory computer-readable media that collectively store:
• a machine-learned crop residue classification model configured to receive imagery and to process the imagery to output one or more crop residue classifications for the imagery;
• and
• instructions that, when executed by the one or more processors, configure the controller to perform operations, the operations comprising:
• obtaining image data that depicts a portion of a field from the one or more imaging devices;
• extracting a plurality of patches from the image data;
• respectively inputting each of the plurality of patches from the image data into the machine-learned crop residue classification model;
• receiving a respective crop residue classification for each of the plurality of patches as an output of the machine-learned crop residue classification model;
• determining a crop residue parameter value for the image data based at least in part on the respective crop residue classifications received for the plurality of patches;
• and
• controlling operation of one or more ground-engaging tools based at least in part on the crop residue parameter value determined for the image data.