An agricultural baling machine including: a frame; a connection point for attaching to a towing vehicle; a plunger in a bale-forming chamber; a driveline for taking power from the towing vehicle and causing reciprocal rectilinear motion of the plunger in the bale-forming chamber; and a drawbar member that provides a mechanical link between the connection point and the frame. The drawbar member is rotatably coupled to the frame such that the height of the connection point relative to the frame of the baling machine is adjustable.

An agricultural baling machine including: a frame; a connection point for attaching to a towing vehicle; a plunger in a bale-forming chamber; a driveline for taking power from the towing vehicle and causing reciprocal rectilinear motion of the plunger in the bale-forming chamber; and a drawbar member that provides a mechanical link between the connection point and the frame. The drawbar member is rotatably coupled to the frame such that the height of the connection point relative to the frame of the baling machine is adjustable.

An object identification and collection method is disclosed. The method includes receiving a pick-up path that identifies a route in which to guide an object-collection system over a target geographical area to pick up objects, determining a current location of the object-collection system relative to the pick-up path, and guiding the object-collection system along the pick-up path over the target geographical area based on the current location. The method further includes capturing images in a direction of movement of the object-collection system along the pick-up path, identifying a target object in the images; tracking movement of the target object through the images, determining that the target object is within range of an object picker assembly on the object-collection system based on the tracked movement of the target object, and instructing the object picker assembly to pick up the target object.

An object identification and collection method is disclosed. The method includes receiving a pick-up path that identifies a route in which to guide an object-collection system over a target geographical area to pick up objects, determining a current location of the object-collection system relative to the pick-up path, and guiding the object-collection system along the pick-up path over the target geographical area based on the current location. The method further includes capturing images in a direction of movement of the object-collection system along the pick-up path, identifying a target object in the images; tracking movement of the target object through the images, determining that the target object is within range of an object picker assembly on the object-collection system based on the tracked movement of the target object, and instructing the object picker assembly to pick up the target object.

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.

An offset arm for a tractor is provided. The offset arm includes a front hitch, a rear hitch, and a rigid connecting structure coupling the front hitch to the rear hitch. The offset arm also includes a front pivot point pivotally connecting the connecting structure to the front hitch about a vertical pivot axis and a rear pivot point pivotally connecting the connecting structure to the rear hitch about a vertical pivot axis. The offset arm also includes a rear pivot lock that selectively locks the rear pivot point to lock the orientation of the rear hitch relative to the connecting structure. The rear pivot lock can selectively lock the rear hitch in any of multiple orientations.

An offset arm for a tractor is provided. The offset arm includes a front hitch, a rear hitch, and a rigid connecting structure coupling the front hitch to the rear hitch. The offset arm also includes a front pivot point pivotally connecting the connecting structure to the front hitch about a vertical pivot axis and a rear pivot point pivotally connecting the connecting structure to the rear hitch about a vertical pivot axis. The offset arm also includes a rear pivot lock that selectively locks the rear pivot point to lock the orientation of the rear hitch relative to the connecting structure. The rear pivot lock can selectively lock the rear hitch in any of multiple orientations.

A working vehicle includes a traveling body including a coupler to which a working device is connected, a marker provided to the working device, a marker detector provided to the traveling body to detect the marker, and a status calculator to calculate a status of the working device based on a detection data detected by the marker detector.

An agricultural implement towable by an agricultural vehicle. The agricultural implement includes a frame with a front portion and a rear portion, a plurality of ground engaging tools connected to the rear portion, and a stabilization system. The stabilization system includes at least one stabilizer connected to the rear portion. The at least one stabilizer is remotely operated for selectively supporting the rear portion relative to the front portion and leveling the frame.