Provided is a pick-up hitch assembly for connection to a vehicle. The pick-up hitch assembly includes a swing frame having a first end configured to be coupled to the vehicle and a second end, a slide frame movable relative to the swing frame between a retracted position and an extended position, and an electrically powered actuator assembly configured to be coupled to the vehicle and being coupled to the swing frame at the second end of the swing frame. The actuator assembly is configured to move the swing frame between a raised position and a lowered position independent of movement of the slide frame and of a three-point hitch.

The disclosure relates to a towing hitch for a work vehicle. The towing hitch includes a retaining element. A coupling member coupled to the retaining element. A guide element having at least one guide channel formed therein; wherein the guide channel is sized to receive a portion of the retaining element. An actuator coupled to at least one surface of the retaining element, wherein the actuator is arranged such that lateral displacement of the actuator moves the retaining element between a first position and a second position within the guide channel of the guide element.

A combination of a tractive machine and plow, has a driver assistance system having an input/output unit. The plow is adjustable with machine parameters, wherein a portion is manually adjustable and/or automatically adjustable by means of the tractive machine. A plow adjust assistant determines in a dialog with an operator in a plurality of dialog steps, optimized machine parameters of the plow and/or of the tractive machine that are to be adjusted. The plow adjust assistant automatically adjusts a portion of the machine parameters determined in the first dialog step and/or gives the operator a portion for adjusting and determines further optimized machine parameters of the plow based on these machine parameters and gives these further optimized machine parameters of the plow to the operator for adjustment of the plow in a second dialog step and/or automatically adjusts them at the plow.

A combination of a tractive machine and plow, has a driver assistance system having an input/output unit. The plow is adjustable with machine parameters, wherein a portion is manually adjustable and/or automatically adjustable by means of the tractive machine. A plow adjust assistant determines in a dialog with an operator in a plurality of dialog steps, optimized machine parameters of the plow and/or of the tractive machine that are to be adjusted. The plow adjust assistant automatically adjusts a portion of the machine parameters determined in the first dialog step and/or gives the operator a portion for adjusting and determines further optimized machine parameters of the plow based on these machine parameters and gives these further optimized machine parameters of the plow to the operator for adjustment of the plow in a second dialog step and/or automatically adjusts them at the plow.

A hitch mounted forklift assembly includes a primary member that is insertable into a hitch receiver of a truck. A coupler is coupled to the primary member and the coupler is exposed when the primary member is positioned in the tow hitch. A lifting rail is provided that has a track gear integrated therein and a motor is coupled to the primary member. A drive gear is rotatably coupled to the motor and the drive gear engages the track gear in the lifting rail. The lifting rail is lifted upwardly or lowered downwardly by the drive gear when the motor rotates the drive gear. A cross member is coupled to the lifting rail and a plurality of tines is each from the cross member. The plurality of tines lifts and lowers a hay bale for transport.

A hitch mounted forklift assembly includes a primary member that is insertable into a hitch receiver of a truck. A coupler is coupled to the primary member and the coupler is exposed when the primary member is positioned in the tow hitch. A lifting rail is provided that has a track gear integrated therein and a motor is coupled to the primary member. A drive gear is rotatably coupled to the motor and the drive gear engages the track gear in the lifting rail. The lifting rail is lifted upwardly or lowered downwardly by the drive gear when the motor rotates the drive gear. A cross member is coupled to the lifting rail and a plurality of tines is each from the cross member. The plurality of tines lifts and lowers a hay bale for transport.

The disclosed apparatus, systems and methods relate to a steerable toolbar. The toolbar is able to rotate relative to the tractor or other driving vehicle to reduce misalignment and/or cross-track error. Actuators can be utilized with draft links to pivot the toolbar around a central pivot point and improve the following path of the toolbar implement.

An autonomous agricultural system comprising a mobile power unit including a frame and a power supply. A position of the power supply is shiftable with respect to the frame of the mobile power unit. The autonomous agricultural system additionally includes an implement releasably secured to the mobile power unit. The mobile power unit is configured to transport the implement. The mobile power unit is further configured to provide power from the power supply to the implement.

An object identification method is disclosed. The method includes training a first neural network for a first set of conditions regarding a first plurality of objects, training a second neural network for a second set of conditions regarding a second plurality of objects, receiving a plurality of target images associated with a target set of conditions in which to identify objects, analyzing the plurality of target images using the first and second neural networks to identify objects in the plurality of target images resulting in object identification information, and selecting the first neural network or the second neural network as a preferred neural network for the target set of conditions based on an analysis of the object identification information.

An object identification method is disclosed. The method includes training a first neural network for a first set of conditions regarding a first plurality of objects, training a second neural network for a second set of conditions regarding a second plurality of objects, receiving a plurality of target images associated with a target set of conditions in which to identify objects, analyzing the plurality of target images using the first and second neural networks to identify objects in the plurality of target images resulting in object identification information, and selecting the first neural network or the second neural network as a preferred neural network for the target set of conditions based on an analysis of the object identification information.