Machine control based upon estimated operator skill level trend

An agricultural system, comprising:

• at least one processor;
• and
• a data store that stores computer executable instructions that, when executed by the at least one processor, cause the at least one processor to:
• detect a skill-based parameter value indicative of an operator skill level in controlling a first agricultural machine to perform an agricultural operation;
• obtain one or more agricultural operation characteristics of the agricultural operation;
• generate, based on the one or more agricultural operation characteristics and the skill-based parameter value, a predicted future operator skill level trend indicative of estimated variation in the operator skill level over a future portion of the agricultural operation;
• and
• generate one or more control signals to control one or more controllable subsystems of the first agricultural machine based on the predicted future operator skill level trend,
• wherein the computer executable instructions that, when executed by the at least one processor, cause the at least one processor to generate the one or more control signals to control one or more controllable subsystems includes computer executable instructions that, when executed by the at least one processor, cause the at least one processor to generate a control signal to control a path planning subsystem to control a path of the first agricultural machine in performing the agricultural operation based on the predicted future operator skill level trend.

An agricultural machine comprising:

• a controllable subsystem;
• one or more sensors detecting a plurality of operator characteristics;
• one or more processors;
• and
• memory storing instructions executable by the one or more processors that, when executed by the one or more processors, configure the one or more processors to:
• determine one or more skill-based parameter values indicative of an operator skill level in controlling the agricultural machine to perform an agricultural operation based on the detected plurality of operator characteristics;
• generate a predicted future operator skill level trend indicative of estimated variation in the operator skill level over a future portion of the agricultural operation based on the one or more skill-based parameter values;
• generate a control signal to control the controllable subsystem of the agricultural machine based on the predicted future operator skill level trend.