Residue collector

A method of training a machine learning algorithm and operating a combine harvester using the trained machine algorithm, the method comprising the steps of:

• training the machine learning algorithm by operating a residue collector, which is separate from the combine harvester, during a training harvesting operation, the step of operating the residue collector comprising (i) activating a transfer system of the residue collector to transfer processed residue expelled from the combine harvester to a residue separator of the residue collector, (ii) activating the residue separator to separate the processed residue into a first portion and a second portion based on a property of the processed residue, (iii) directly or indirectly determining a weight of the first portion and the second portion using one or more weight sensors, and (iv) determining a training quality factor for the processed residue based on the determined weight of the first portion in relation to the weight of the second portion;
• starting a harvesting operation following the training harvesting operation;
• receiving one or more sensor values from sensors that are associated with the combine harvester during the harvesting operation;
• using the trained machine learning algorithm to determine a calculated quality factor during the harvesting operation, the machine learning algorithm determining the calculated quality factor based on the training quality factor determined during the training step;
• and
• either presenting the calculated quality factor to an operator of the combine harvester during the harvesting operation or setting one or more operational parameters of the combine harvester during the harvesting operation based on the calculated quality factor.