System and method for an agricultural harvester

A computer-implemented method for agricultural harvesting, the computer-implemented method comprising:

• receiving, by a computing system, data associated with one or more harvest-related conditions for an agricultural harvester;
• inputting, by the computing system, the data into a machine-learned model configured to that receives and processes the data to determine a first harvest-related parameter indicative of an infeed volume of harvested material for the agricultural harvester;
• receiving, by the computing system, a value for the first harvest-related parameter as an output of the machine-learned model;
• and
• altering, by the computing system, a ground speed command of the agricultural harvester based at least in part on the first harvest-related parameter to maintain a hydraulic pressure within a defined pressure range, the hydraulic pressure powering a processing system and a driveline assembly.

A computer-implemented method for agricultural harvesting, the computer-implemented method comprising:

• receiving, by a computing system, data associated with one or more harvest-related conditions for an agricultural harvester, the data associated with harvested material upstream of a processing system that separates the harvested material from a field;
• inputting, by the computing system, the data into a machine-learned model that receives and processes the data to determine a first harvest-related parameter indicative of a detected foliage ratio for the agricultural harvester;
• receiving, by the computing system, a value for the first harvest-related parameter as an output of the machine-learned model;
• and
• altering, by the computing system, a ground speed command of the agricultural harvester based at least in part on the first harvest-related parameter to maintain a hydraulic pressure within a defined pressure range, the hydraulic pressure powering a processing system and a driveline assembly.