System and method for work state estimation and control of self-propelled work vehicles

A self-propelled work vehicle comprising:

• a plurality of ground engaging units;
• at least one work implement configured for controllably working terrain;
• one or more onboard sensors;
• a user interface configured to enable user entry of operator commands regarding at least a first parameter or operation of the self-propelled work vehicle;
• a controller functionally linked to at least the one or more onboard sensors and configured to
• provide time series data from the one or more onboard sensors and corresponding to sequences of one or more parameters or operations of the self-propelled work vehicle from the self-propelled work vehicle to a remote cloud server network as training inputs to a model at the remote cloud server network, wherein at least one of the one or more onboard sensors comprises a hydraulic pressure sensor associated with the work implement;
• and wherein upon validation of the model over a plurality of training iterations of the self-propelled work vehicle, the model further classifies the provided time series data as the training inputs into different predetermined work states,
• receive an updated version of the model from the remote cloud server network,
• receive a combination of current inputs comprising one or more of the operator commands regarding at least the first parameter or operation of the self-propelled work vehicle and/or input signals from at least one of the one or more onboard sensors,
• determine a work state of the self-propelled work vehicle via the updated version of the model, based at least in part on a learned correlation between the received combination of current inputs with respect to the different predetermined work states, and
• generate a control signal for controlling at least a second parameter or operation of the self-propelled work vehicle, responsive to the ascertained first parameter or operation and the determined work state.