Systems and methods for agricultural harvesters

The invention relates to a system and method for an agricultural harvester. A system for an agricultural harvester may include one or more processors and one or more non-transitory computer readable media. The one or more non-transitory computer readable media collectively store a machine learning model configured to receive data associated with one or more harvest-related conditions of an agricultural harvester and instructions, and processing the data to determine a first harvest-related parameter associated with a feed amount of harvested material of the agricultural harvester, the instructions, when executed by the one or more processors, configuring the computing system to operate. The operations may include obtaining data associated with one or more harvest-related conditions, inputting the data into a machine learning model, and receiving a first value of the harvest-related parameter as a first output of the machine learning model. 本发明涉及用于农业收割机的系统和方法。一种用于农业收割机的系统可以包括一个或多个处理器和一个或多个非临时性计算机可读介质。所述一个或多个非临