A vehicle-assistance system for classifying objects in a vehicle's surroundings is provided. The system may include at least one memory configured to store classification information for classifying a plurality of objects and at least one processor configured to receive, on a pixel-by-pixel basis, a plurality of measurements associated with LIDAR detection results. The measurements may include at least one of: a presence indication, a surface angle, object surface physical composition, and a reflectivity level. The at least one processor may also be configured to receive, on the pixel-by-pixel basis, at least one confidence level associated with each received measurement, and access the classification information. The at least one processor may further be configured to, based on the classification information and the received measurements with the at least one associated confidence level plurality, identify a of pixels as being associated with a particular object.

A bracket for use with an agriculture planter including a trailing arm frame defining a pivot point thereon may include an arm bracket assembly with first and second arms. Each arm may extend from a middle portion of the bracket. First and second implements may be rotatably mounted on mounting ends of two of the arms. The middle portion of the bracket may be pivotally coupled to the trailing arm frame at the pivot point.

A bracket for use with an agriculture planter including a trailing arm frame defining a pivot point thereon may include an arm bracket assembly with first and second arms. Each arm may extend from a middle portion of the bracket. First and second implements may be rotatably mounted on mounting ends of two of the arms. The middle portion of the bracket may be pivotally coupled to the trailing arm frame at the pivot point.

A sapling planting apparatus coupled to a chassis wherein the chassis includes a ground-engaging supports to facilitate propelling the chassis. The sapling planting apparatus comprises a screw; a nut in threaded engagement with the outer surface of the screw; a motor operatively coupled to the screw to rotatably drive the screw wherein rotation of the screw translates the nut; a tube for delivering the sapling towards the ground; and a spade for penetrating the ground for planting the sapling. The tube may be coupled to the nut and is telescopically extendable in a downward direction from a rest position wherein translating the nut in a first direction coincides with extending the tube in a downward direction.

A sapling planting apparatus coupled to a chassis wherein the chassis includes a ground-engaging supports to facilitate propelling the chassis. The sapling planting apparatus comprises a screw; a nut in threaded engagement with the outer surface of the screw; a motor operatively coupled to the screw to rotatably drive the screw wherein rotation of the screw translates the nut; a tube for delivering the sapling towards the ground; and a spade for penetrating the ground for planting the sapling. The tube may be coupled to the nut and is telescopically extendable in a downward direction from a rest position wherein translating the nut in a first direction coincides with extending the tube in a downward direction.

A system for a high-efficiency planting operation for a work machine for planting saplings. The system comprises a conveying unit stores at least one tray of saplings and transports the tray of saplings towards a gripping unit. The gripping unit retrieves at least one sapling from the tray and release at least one sapling towards the indexing unit. The indexing unit is coupled to the gripping unit and individually releases a sapling for planting. A planting unit receives the sapling from the indexing unit and delivers the sapling into a ground. A sensing module is coupled to a plurality of sensors to detect a set of parameters and generates data input signals based on the parameters. A controller receives the data input signals and provides feedback to the conveying unit, the indexing unit or the planting unit to adjust one or more actuators in response to the data input signals.

The aerator device includes a manifold including an interior channel, a connector aperture, and a plurality of nozzles configured to discharge a pressurized fluid stream. A cover plate is disposed on an upper side of the manifold. A first connector includes a first open end in fluid communication with the interior channel and a second end extending through a connector aperture disposed on an upper side of the cover plate. A second connector is configured to receive a hose connection to a pressurized fluid supply. A wheel including a wheel height adjustment mechanism is affixed to each side portion of the cover plate. In one embodiment, the manifold is configured to rotate when the wheels of the device rotate via a drive roller. A handle extending rearwardly from the cover plate includes a trigger mechanism configured to activate the flow of fluid from a pressurized fluid source.

Systems and methods are provided that enable a general framework for partitioning application-defined jobs in a scalable environment. The general framework decouples partitioning of a job from the other aspects of the job. As a result, the effort required to define the application-defined job is reduced or minimized, as the user is not required to provide a partitioning algorithm. The general framework also facilitates management of masters and servers performing computations within the distributed environment.

A vehicle-assistance system for classifying objects in a vehicle's surroundings is provided. The system may include at least one memory configured to store classification information for classifying a plurality of objects and at least one processor configured to receive, on a pixel-by-pixel basis, a plurality of measurements associated with LIDAR detection results. The measurements may include at least one of: a presence indication, a surface angle, object surface physical composition, and a reflectivity level. The at least one processor may also be configured to receive, on the pixel-by-pixel basis, at least one confidence level associated with each received measurement, and access the classification information. The at least one processor may further be configured to, based on the classification information and the received measurements with the at least one associated confidence level plurality, identify a of pixels as being associated with a particular object.

Systems and methods are provided that enable a general framework for partitioning application-defined jobs in a scalable environment. The general framework decouples partitioning of a job from the other aspects of the job. As a result, the effort required to define the application-defined job is reduced or minimized, as the user is not required to provide a partitioning algorithm. The general framework also facilitates management of masters and servers performing computations within the distributed environment.