Systems and methods for agricultural harvesters

The present disclosure relates to systems and methods for agricultural harvesters. A system for an agricultural harvester is disclosed, comprising one or more processors and one or more non-transitory computer-readable media storing machine-learned mass estimation models, the model is configured to receive data associated with one or more operation related conditions of the agricultural harvester and process the data to determine an output indicative of a stalk quality of the agricultural harvester. The one or more non-transitory computer readable media also store instructions that, when executed by the one or more processors, configure the computing system to perform operations. The operations include obtaining data associated with one or more operation-related conditions; inputting the data into a quality estimation model learned by a machine; and receiving the value of the stalk mass as an output of the machine-learned mass estimation model within the defined time period. 本发明公开涉及用于农业收割机的系统和方法。公开了一种用于农业收割机的