Deere & Company Patente

An agricultural system (100) is disclosed. The agricultural system (100) comprising: a blockage state detector (226) configured to receive a first torque characteristic value indicative of torque applied by a first motor (194) to a first rotary dispenser (186) on an agricultural application machine (102) and compute a blockage state (280) corresponding to the first rotary dispenser (186) based on the first torque characteristic value; and a control signal generator (228) configured to generate a control signal (282) based on the blockage state (280). Furthermore, a computer implemented method comprising such agricultural system (100) is disclosed.

Die Erfindung betrifft ein Verfahren zur Ermittlung einer einzustellenden Höhenposition (pos_h) für einen an einem Nutzfahrzeug (10) gelagerten und mit einem Anbaugerät (16) zur Bodenbearbeitung gekoppelten Kraftheber (14). Mittels eines Kraftsensors (22) wird eine am Kraftheber (14) wirkende Ist-Zugkraft (F_sen) ermittelt. Mittels eines Zusatzsensors (32) wird mindestens ein Bodenparameter (para_b) des bearbeiteten oder zu bearbeitenden Bodens (18, 20) ermittelt. Die einzustellende Höhenposition (pos_h) wird in Abhängigkeit von der Ist-Zugkraft (F_sen) und dem mindestens einen Bodenparameter (para_b) ermittelt. Weiterhin betrifft die Erfindung ein Nutzfahrzeug (10) mit einer Steuereinheit (24) zur Durchführung eines solchen Verfahrens.

The present invention relates to a method (600) of calibrating grain loss on an agricultural machine (10) harvesting crop and includes initiating a grain loss calibration process (610) on the agricultural machine at a location in a field and receiving (612) grain loss sensor signals from sensors on the agricultural machine. The method also includes identifying the location (614) in the field by a geographic location sensor and sending a communication (616) from a control system on the agricultural machine to perform a grain loss measurement (618). The method may further include receiving the grain loss measurement (620) based on an inspection of grain loss at the location in the field and determining a grain loss calibration value (624) based on the grain loss sensor signals and the grain loss measurement.

A trailed implement includes a tongue coupled to an implement structure and configured for attachment to a rearward end of a tow vehicle. A proximity sensor is positioned to detect data related to objects located within a field of view disposed forward of the implement structure. A controller configured to identify a rear ground engaging element of the tow vehicle from data sensed by the proximity sensor, determine a location of the rear ground engaging element of the tow vehicle relative to the implement structure, and communicate a vehicle control and/or and operator warning signal when the rear ground engaging element is within a pre-defined distance of the implement structure.

A method of calibrating grain loss on an agricultural machine harvesting crop may include initiating a first calibration process of a grain loss monitoring system on the machine and executing the first calibration process by receiving sensor signals from sensors on the agricultural machine and a grain loss measurement based on an analysis of a harvested area in the field. The method may also include adjusting a machine setting on the agricultural machine based on an output of the first calibration process and monitoring grain loss after the setting is adjusted to evaluate the effect on grain loss of adjusting the setting.

A system for modifying a compliance of a downforce actuator (414) of an agricultural machine is disclosed. The system comprising: a row unit (106) coupled to a tool bar (102) through a linkage assembly (152); an actuator (414) configured to selectively alter the downforce applied to the row unit (106), the actuator (414) having a downforce side configured to bias the row unit (106) towards an underlying surface (410) and an upforce side configured to bias the row unit (106) away from the underlying surface (410); an actuator assembly (110) configured to selectively provide fluid separately to the downforce side and the upforce side of the actuator (414); and a control system (402) configured to selectively engage the actuator assembly (110) to modify a downforce pressure provided to the downforce side and an upforce pressure provided to the upforce side; wherein the control system (402) is configured to selectively transition the actuator (414) between a first compliance configuration and a second compliance configuration; wherein the control system (402) modifies the downforce pressure and the upforce pressure of the actuator assembly (110) between the first compliance configuration and the second compliance configuration and maintains a pressure difference between the downforce pressure and the upforce pressure between the first compliance configuration and the second compliance configuration. Further, a method of modifying response characteristics of the actuator (414) is disclosed.

A detection system (200) for detection of an agricultural characteristic during a performance of an agricultural operation by an agricultural machine (100) is disclosed. The detection system (200) comprising: an implement configured for performance of the agricultural operation; a point cloud sensor (210) coupled to the agricultural machine (100), the point cloud sensor (210) configured for receipt, during the performance of the agricultural operation, a captured information corresponding to the agricultural characteristic, the captured information comprising information captured by the point cloud sensor (210) in a near infrared light spectrum or a short wavelength infrared light spectrum; at least one processor (204); and a memory (206) coupled with the processor (204), the memory (206) including instructions that when executed by the processor (204) cause the processor (204) to: determine, from the captured information, a reflectance value; determine, using at least the reflectance value, an object represented by the captured information; and determine, using at least the captured information, at least one of a location of the object, a characteristic of the object, and whether the object or the agricultural operation satisfies a predetermined threshold. Furthermore, a method (700) for detecting an agricultural characteristic with such detection system (200) is disclosed.

Generating a desired position for a first vehicle from a next position of an implement attached to the first vehicle is described. A current position of the implement is obtained. The next position of the implement is identified. A desired position of the first vehicle is derived from the next position of the implement. The desired position and the next position are such that when the first vehicle is at the desired position, the implement is at the next position. The next position of the implement may be based on a position of a second vehicle. In an example, the first vehicle may be a tractor, the implement may be a grain cart, and the second vehicle may be a combine harvester.

Ein Erntevorsatz (20) zur Ganzpflanzenernte, der an einer Erntemaschine (10) anbringbar und in einer Vorwärtsrichtung (V) über ein Feld bewegbar ist, umfasst: ein tragendes Gestell (36), eine Anzahl an nebeneinander angeordneten Mäh- und Einzugseinrichtungen (40) zum Abschneiden und Abfördern von Pflanzen vom Feld, ein erstes Querförderband (46) und ein zweites Querförderband (48) zur Querförderung der durch die Mäh- und Einzugseinrichtungen (40) aufgenommenen Pflanzen in Richtung auf die Längsmittelebene des Erntevorsatzes (20), ein Abgabeförderband (50) zur Förderung der von den Querförderbändern (46, 48) einlaufenden Pflanzen nach hinten zu einer rückwärtigen Abgabestelle des Erntevorsatzes (20), und eine unterschlächtig arbeitende, langgestreckte Fördertrommel (52) mit einer sich quer zur Vorwärtsrichtung (V) erstreckenden Drehachse, wobei die Fördertrommel (52) oberhalb des Abgabeförderbandes (50), der Abgabeöffnung vorgelagert, durch eine nur in der Mitte der Fördertrommel (52) vorgesehene Abstützung mit dem Gestell (36) verbunden ist.

Die Erfindung betrifft ein Verfahren zur Einstellung einer Höhenposition (pos) eines an einem Nutzfahrzeug (10) gelagerten und mit einem Anbaugerät (16) zur Bodenbearbeitung gekoppelten Krafthebers (14). Eine bereitgestellte Basis-Kennlinie (KL-B) repräsentiert einen Zusammenhang zwischen einer Soll-Höhenposition (pos_sol) des Krafthebers (14) und einer am Kraftheber (14) erwarteten Zugkraft (F_erw) repräsentiert. Für eine ausgewählte Soll-Höhenposition (pos_sol) wird die mittels der Basis-Kennlinie (KL-B) erwartete Zugkraft (F_erw) als eine Soll-Zugkraft (F_sol) festgelegt. In Abhängigkeit von der Soll-Zugkraft (F_sol) und einer am Kraftheber (14) erfassten Ist-Zugkraft (F_sen) wird eine resultierende Höhenposition (pos_res) des Krafthebers (14) ermittelt und eingestellt. Weiterhin betrifft die Erfindung ein Nutzfahrzeug (10) mit einer Steuereinheit (24) zur Durchführung eines solchen Verfahrens.

A baler implement includes a bale formation system defining a baling chamber configured for forming crop material into a bale having a cylindrical shape, and a roller configured to apply a compressive force against the crop to form the bale. A bale size sensor is operable to sense data related to a diametric size of the bale within the baling chamber. A baler controller determines a current diameter of the bale during formation thereof within the baling chamber, and determines if the current diameter of the bale is equal to a pressure release diameter threshold. When the current diameter of the bale is equal to the pressure release diameter threshold, the baler controller may automatically control the bale formation system to decrease the compressive force of the roller applied against the bale to prevent overloading and damaging bearings of the roller.

An agricultural system is disclosed. The agricultural system, comprising: an application machine (100) having a plurality of row units (106), each row unit (106) having an applicator (209); a first flow meter (320) mounted to the application machine (100) and configured to detect an amount of material applied from a first applicator (209) on the application machine (100) and generate a first flow meter signal (352) indicative of the detected amount of the material; a first pressure sensor (306) mounted to the application machine (100) and configured to detect a pressure in a second applicator (209) on the application machine (100) and generate a first pressure sensor signal (350) indicative of the detected pressure; an application state detection system (321) configured to identify an applicator state for the second applicator (209) based on the first flow meter signal (352) and the first pressure sensor signal (350); and a control signal generator (328) configured to generate a control signal (364) based on the applicator state for the second applicator (209). Furthermore, a computer implemented method of operating such agricultural system is disclosed.

Ein Erntevorsatz (20) zur Ganzpflanzenernte, der an einer Erntemaschine (10) anbringbar und in einer Vorwärtsrichtung (V) über ein Feld bewegbar ist, umfasst: ein tragendes Gestell (36), eine Anzahl an nebeneinander angeordneten Mäh- und Einzugseinrichtungen (40) zum Abschneiden und Abfördern von Pflanzen vom Feld, ein erstes Querförderband (46, 46') und ein zweites Querförderband (48, 48') zur Querförderung der durch die Mäh- und Einzugseinrichtungen (40) aufgenommenen Pflanzen in Richtung auf die Längsmittelebene des Erntevorsatzes (20), wobei die Querförderbänder (46, 46`, 48, 48`) jeweils mit quer zur Förderrichtung ausgerichteten Mitnehmern (58) ausgestattet sind, und einen Abgabeförderer (50) zur Förderung der von den Querförderbändern (46, 46', 48, 48') einlaufenden Pflanzen nach hinten zu einer rückwärtigen Abgabestelle des Erntevorsatzes (20), wobei die Querförderbänder (46, 46`, 48, 48'), zusätzlich zu den Mitnehmern (58), mit Erhebungen (60, 60') ausgestattet sind.

A forage conditioning apparatus may include a first conditioning roller configured to rotate about a first rotational axis and a second conditioning roller configured to rotate about a second rotational axis. The first conditioning roller may include a plurality of first roller segments aligned along the first rotational axis. A plurality of first crimping rings may extend radially with respect to the first rotational axis, each first crimping ring being a generally planar disc located between two adjacent ones of the first roller segments.

A crop harvesting implement includes a frame and a cutting bar supported by the frame. The cutting bar includes a plurality of rotary cutters disposed along an axis which is transverse to a forward working direction of the crop harvesting implement. A crop conditioner is supported by the frame along an axis transverse to the working direction and rearward of the cutting bar with respect to the working direction. A crop converging mechanism is supported by the frame. The crop converging mechanism may be configured to move the cut crop material in a downstream direction from the plurality of rotary cutters toward the crop conditioner. At least one moisture sensor is located upstream of the crop conditioner and configured to sense a moisture content of the cut crop material.

Systems are disclosed for generating safe and efficient guidance paths for a tractor-implement combination navigating orchards or rowed fields. Range sensors capture scene data, and a segmentation model produces an occupancy grid identifying tree-line obstacles, impassable obstacles, passable canopy, and ground. The path planning module generates candidate trajectories seeded by current steering and articulation angles, drawing from a library of curvature primitives. Each candidate trajectory is simulated through a kinematic model and tested against the occupancy grid to ensure clearance. Survivors are evaluated using weighted cost functions that balance canopy contact, alignment with lane or headland targets, deviation from mapped goal paths, and obstacle avoidance. The lowest-cost trajectory is refined into a final guidance path, and control commands are generated to actuate steering and propulsion. The process runs continuously at sensor frame rates, enabling adaptive, obstacle-aware navigation of agricultural vehicles under dynamic condition.

A system (90) is disclosed. The system (90), comprises mobile agricultural equipment (100), comprising: a towing vehicle (110) comprising a hitch (116); a towed vehicle (120) comprising a proximal end portion (127) coupled to the towing vehicle (110) via the hitch (116), wherein the proximal end portion (127) defines a nose (127') of the towed vehicle (120); a sensor array (140) comprising at least one sensor, wherein the sensor array (140) is configured to generate status information (155) related to a location, orientation, acceleration, and/or height of the at least one sensor; and an actuator (130) operable to adjust a relative height of the proximal end portion (127); and a control assembly (150) in communication with the sensor array (140) and the actuator (130); wherein the control assembly (150) is configured to determine an appropriate height adjustment for the nose (127') based on the status information (155), and to transmit a signal based upon the appropriate height adjustment. Further, a method of operating such system (90) is disclosed.

An agricultural system (90) is disclosed. The agricultural system (90) comprising: a row unit (106) including a frame; a furrow opener (114) coupled to the frame of the row unit (106) and configured to open a furrow; a first applicator (109-1) on the row unit (106) configured to apply a first material to the furrow; a second applicator (109-2) on the row unit (106) configured to apply a second material to the furrow; and an application state control system (278) configured to obtain an application state defining a first application pattern and a second application pattern and to generate a first control signal (322) to control the first applicator (109-1) according to the first application pattern and to generate a second control (322) signal to control the second applicator (109-2) according to the second application pattern. Further, a computer implemented method comprising such an agricultural system (90) is disclosed.

Systems and techniques are disclosed for predicting lane entry and exit points to guide an autonomous work vehicle operating in fields of tree rows or similar environments. Range sensors capture depth and intensity data, which a trained segmentation model classifies into trunks, canopy, ground, and obstacles. Trunk centroids are clustered and used to estimate lane geometry and a lane centerline. Canopy points are analyzed in down-lane bins to compute density measures, enabling detection of row-end locations. Lane exit points are projected from canopy features onto the lane centerline, and a primary exit point is selected to support headland turns. Control modules generate steering and speed commands that guide the vehicle toward the exit point while monitoring position, speed, and trajectory. The process repeats continuously at sensor update rates, allowing real-time detection of row ends and smooth autonomous transitions between lanes.

A system is provided for localizing an autonomous work vehicle within mapped agricultural environments when GPS may be unavailable. Range sensors capture LiDAR images that are segmented by a trained model into features such as trunks and canopy. Trunk points are clustered to compute centroids, which are used to estimate left and right tree lines and a lane centerline relative to the vehicle. This sensor-derived centerline is compared with georeferenced lane and row geometry stored in a digital map. A particle filter maintains multiple pose hypotheses, propagates them using vehicle odometry, and weights them according to alignment between the lane centerline relative to the vehicle and the mapped lane geometry for the particle. Resampling and averaging of high-weight hypotheses produces an adjusted pose that corrects for lateral and heading errors. The adjusted pose serves as input to a navigation controller that issues steering and speed commands, enabling accurate autonomous operation.

An inertial measurement unit (IMU) is fixed in a known transformation relative to a vision system sensor. The IMU in vision system sensor are mounted to an agricultural machine. The agricultural machine is controlled to move and the orientation of the vision system sensor, relative to a reference point on the agricultural machine, is generated based upon an IMU signal generated by the IMU during the motion. The orientation is then used to control the agricultural machine.

A pedal assembly for a vehicle, having a first pedal (14) and a second pedal (18), a latch (22) for coupling and decoupling the first pedal (14) and the second pedal (18), a latch support member (24) acting a pivot point for the latch (22) to move between a first position and a second position, a resilient member (26) attached between the first pedal (14) and the latch (22). The resilient member (26) is configured to retain the latch (22) in one of the first position and the second position. The latch (22) is actuated externally to achieve coupling and decoupling of the first pedal (14) and the second pedal (18) against the tension from the resilient member (26).

The present invention provides a back-up assist system (10) for coupling a work vehicle (1) with an adjustable implement mounting arrangement (3) and an implement (2) having a vision system (26), a user interface (20), a repository module (28) and a processor (30). A plurality of markers (12, 14, 16, 18) are provided on the adjustable implement mounting arrangement (3) and the implement (2). The vision system (26) scans each of the marker (12, 14, 16, 18) to generate corresponding pre-scanned signals (S1, S2, S3, S4) and dynamic-scanned signals (DS1, DS2, DS3, DS4), respectively, in the implement attached configuration and the implement detached configuration. The back-up assist system (10) and the method thereof, helps in guiding the tractor (1) to connect with the implement (2) with precision without necessitating additional manpower for such activity.

A closing wheel system (100) is disclosed. The closing wheel system (100) comprising: a first linkage arm (105a) and a second linkage arm (105b); and a first closing wheel (109a) attached to a first closing wheel arm (107a); and wherein the first linkage arm (105a) and the second linkage arm (105b) cooperate to create a castering effect about a virtual pivot point that is a distance away from the first and second linkage arms (105a, 105b), and wherein a turning radius of the closing wheel (109a) caused by the castering effect is at least as long as a turning radius of a towing frame to which the closing wheel system (100) is coupled.

Systems and techniques are disclosed for autonomously navigating a work vehicle within rows of trees or similar environments. A range sensor captures depth and intensity data representing the scene ahead. A trained segmentation model classifies points of the scene into features such as trunks, canopy, ground, and obstacles. Trunk features are clustered into centroids on the left and right sides of the vehicle, and a line estimation process, informed by vehicle odometry and prior row spacing, generates candidate tree lines. Weighted evaluation and resampling produce estimated left and right tree lines, from which a lane centerline is computed. The vehicle's control system uses the lane centerline to determine lateral and heading corrections and to generate steering and speed commands for navigation. The approach continuously updates the lane geometry as new sensor data is received, supporting robust, real-time operation through orchards or other structured field environments.

A control system deploys a virtual safety bubble for autonomous operation of a construction vehicle in a worksite. The control system obtains a work schedule for the construction vehicle to perform one construction action. The control system identifies one or more objects to be interacted with by the construction vehicle while performing the one construction action. The control system deploys a virtual safety bubble for the construction vehicle based on the one construction action. Breach of the virtual safety bubble triggers remedial actions; however, the virtual safety bubble permits breach by the one or more identified objects during the construction action. The control system detects breach of the virtual safety bubble by the one or more identified objects during the construction action. Responsive to the breach of the virtual safety bubble by the one or more identified objects during the construction action, the control system withholds the remedial actions.

A perception system for a work vehicle includes a sensor pod having multiple monocular imaging devices with second and third imaging devices being disposed intermediate first and fourth imaging devices. A controller receives multiple two-dimensional images from the imaging devices and develops a first three-dimensional image from first and the third two-dimensional images, a second three-dimensional image from second and the fourth two-dimensional images, and a third three-dimensional image from second and the third two-dimensional images. The controller analyzes the three-dimensional images to determine the presence of an object in a path of the work vehicle within a predetermined distance and generates an alert.

A construction vehicle may move (510) along a route in a construction environment towards a portion of the construction environment. The construction vehicle may access an image (520) of the portion of the construction environment in front of the construction vehicle. The construction vehicle may apply a rut identification model (530) to the image, where the rut identification model is configured to identify a rut in the portion of the construction environment using pixels of the image. The construction vehicle may, subsequent to identifying the rut in the portion of the construction environment, navigate the construction vehicle (540) along the route based on the identified rut.

An autonomous mowing vehicle leverages a plurality of virtual safety bubbles and a virtual buffer around an object to avoid collisions between the object and the vehicle. The vehicle has a camera system comprising stereoscopic pairs of cameras positioned around the vehicle, a mowing deck comprising one or more motorized blades for mowing plants in the environment, and a control system. The control system is configured to: capture image data from a camera system of an autonomous mowing vehicle; detect at least one object in an environment surrounding the autonomous mowing vehicle based on the image data; generate a virtual buffer for the object, the virtual buffer positioned around the object; generate a plurality of virtual safety bubbles around the autonomous mowing vehicle based on a configuration of the autonomous mowing vehicle; and perform autonomous operation of the mowing vehicle to perform, via at least the mowing deck, one or more landscaping actions in the environment while evading breach of the plurality of virtual safety bubbles by the virtual buffer of the object.

Systems, devices, and methods for autonomous mowing in turf environments are described. The mowing vehicle integrates manual controls, a display, and a controller connected to a sensor system all-around coverage. Sensors feed a vision processing unit that detects, classifies, and maps transient and non-transient objects. Modules within the vision processing unit handle object detection, classification, boundary generation, path planning, actuation, user interaction, and job quality monitoring. Path planning adapts to dynamic conditions, other machines, and changing object sizes, while the actuation module executes adjusted paths in real time. The user interface enables operator oversight and settings adjustments, with cloud connectivity for data storage and reuse. Job quality is assessed through sensor and image data, enabling corrective actions.

A vehicle moves through a landscaping environment and performs one or more landscaping actions in the environment. A master coordinator associated with the landscaping environment updates a global state of the landscaping environment based on the performed landscaping actions. The master coordinator may determine a plan of landscaping actions for machines in the environment using a generative language model and send instruction to perform the landscaping actions or capture data from an associated viewpoint based on the global state to the machines. Each machine may have a local coordinator that determines its local state based on sensor data and may alter actions within alteration constraints provided by the master coordinator. The master coordinator receives local states from the machines over time, updates the global state accordingly, and sends instructions to the one or more machines based on the updated global state.

A vehicle moves through an environment (e.g., a farming, construction, mining, or forestry environment) and performs one or more actions in the environment. A control system associated with the vehicle may include a mode selection module and a transportation determination module. In particular, the control system may employ a machine vision model to identify images captured for each region in the environment. The model identifies viable unloading locations in an unloading zone of the environment, and then navigates the vehicle to one or more unloading locations based on pixels of the image representing terrain features and existing cargo dump piles. Control signals for loading or unloading cargo are determined in alignment with a transportation protocol set by a site manager. A loading or unloading mechanism is then actuated using these control signals to unload cargo in the appropriate location.

A mowing vehicle may access a work site representing the field, the work site a data structure comprising polygons representing workable areas and polygons representing unworkable areas. A mowing vehicle may access a set of machine constraints for the autonomous mowing machine. A mowing vehicle may apply a first model to the work site and set of machine constraints to generate a plurality of tracks through the field for the autonomous mowing machine. A mowing vehicle may apply a second model to the plurality of tracks and the plurality of areas to generate a scheduled order of passes for the autonomous mowing machine. A mowing vehicle may control the autonomous mowing machine to traverse the plurality of passes through the field according to the path schedule.

Es wird eine Getriebeeinrichtung (10) vorgeschlagen. Die Getriebeeinrichtung (10) umfasst ein den Getrieberaum (17) umgebendes Getriebegehäuse (11), eine im Getrieberaum (17) angeordnete Antriebswelle (18) mit Antriebsverzahnung (44), eine im Getrieberaum (17) angeordnete Vorgelegewelle (38) mit einer ersten und einer zweiten Vorgelegeverzahnung (46, 48) und eine im Getrieberaum (17) angeordnete Abtriebswelle (20) mit Abtriebsverzahnung (50), wobei die Antriebsverzahnung (44) mit der ersten Vorgelegeverzahnung (46) und die zweite Vorgelegeverzahnung (48) mit der Abtriebsverzahnung (50) in Eingriff steht und wobei die Antriebswelle (18) in einem in der Abtriebswelle (20) angeordneten Wellenlager (36) gelagert ist. Es wird vorgeschlagen, dass in einem oberhalb der Abtriebswelle (20) angeordneten Teil des Getriebegehäuses (11) ein im Wesentlichen vom Getrieberaum (17) abgetrennter Hohlraum (52) ausgebildet ist, der über eine entgegen einer Drehrichtung der An- und Abtriebsverzahnung (44, 50) ausgerichteten Öffnung (58) mit dem Getrieberaum (17) verbundenen ist, wobei unterhalb des Hohlraums (52) ein Sammeltrichter (66) angeordnet ist, wobei ferner der Hohlraum (52) wenigstens einen Ablaufkanal (62, 64) umfasst, der in den Getrieberaum (17) zum Sammeltrichter (66) führt und wobei der Sammeltrichter (66) einen Ablauf (84) aufweist, der in einen Bereich des Wellenlagers (36) führt.

A seed meter assembly (24) for an agricultural planting machine (10) is disclosed. The seed metering assembly (24), comprising a vacuum chamber housing (28) defining a vacuum chamber (30); a seed meter housing (32); and a seed metering member (26) mounted for rotation with respect to the seed meter housing (32); wherein at least a portion of the vacuum chamber housing (28) is movably mounted relative to the seed meter housing (32); and wherein the at least a portion of the vacuum chamber housing (28) is movable in response to a vacuum force (98) operable to adhere seeds to the seed metering member (26). Further, an agricultural planting machine (10) with such, and a method of operating such meter assembly is disclosed.

A seed meter assembly (24) for an agricultural planting machine (10) is disclosed. The seed meter assembly (24) comprising: a seed meter housing (32); a seed metering member (26) rotatably mounted with respect to the seed meter housing (32), wherein a point (64) on the seed metering member (26) is rotatable within a plane (38) about a meter axis (A) normal to the plane (38); and a ramp surface (60) inclined relative to the plane (38), the ramp surface (60) disposed within one seed-length (82) of a seed side (50) of the seed metering member (26), the ramp surface (60) configured to be engaged and followed by seeds (70) adhered to the seed metering member (26) as the seed metering member (26) rotates with respect to the ramp surface (60).

The present invention provides a controlled engine assist system (10) for a hybrid vehicle having an internal combustion engine (12) and an electric power source (14) with a battery (15). The system (10) comprises a shaft (16) connecting the internal combustion engine (12) and a torque cushioning clutch (18). A power transmission arrangement (20) couples the torque cushioning clutch (18) to the electric power source (14). The torque cushioning clutch (18) partially transmits torque from the internal combustion engine (12) to the electric power source (14) during recuperation. This regulates transmission of sudden rotational irregularities to the electric power source (14), thereby, helping in minimizing damage to the electric power source (14).

Methods and apparatus to determine a target speed for an agricultural vehicle are described. An apparatus described herein includes at least one processor circuit to obtain a terrain map corresponding to a field, obtain, from one or more sensors of a vehicle, orientation information and tire pressure information corresponding to the vehicle, execute a predictive model based on (a) the terrain map, (b) the orientation information, and (c) the tire pressure information, and determine, based on a result of the execution, a target speed for the vehicle on the field.

Die Erfindung betrifft ein Messer für eine Schneidvorrichtung (38) für eine landwirtschaftliche Erntemaschine, umfassend, einen Messerkörper (102) mit einer ersten Seite (104) und einer zweiten Seite (106). Der Messerkörper (102) weist einen Schneidebereich (108) mit einer Schneide (110) auf, die sich entlang einer Längsachse (112) des Messerkörpers (102) erstreckt. Das Messer (40) umfasst einen Schwenkbereich (114) mit einer ersten Ausnehmung (116) und einen Positionierungsbereich (118) mit einer zweiten Ausnehmung (120) zur Anordnung des Messers (40) an der Schneidvorrichtung (38) der landwirtschaftlichen Erntemaschine. Die erste Ausnehmung (116) ist zur Aufnahme einer Schwenkwelle (202) der Schneidvorrichtung (38) ausgebildet, und die zweite Ausnehmung (120) ist zur Aufnahme einer Positionierungseinrichtung (204) ausgebildet. Das Messer (40) weist mindestens ein erstes und zweites Loch (122, 124) auf. Die Erfindung betrifft weiter eine Schneidvorrichtung (38), eine Erntemaschine, ein Verfahren und ein Hebel-Messer-System.

Bei einem Verfahren zur Querstabilisierung eines landwirtschaftlichen Fahrzeuggespanns (16), das aus einem landwirtschaftlichen Traktor (12) sowie einem daran angebrachten Anhänger (14) besteht, ist vorgesehen, dass von einer Kontrolleinheit (22) mittels einer dem landwirtschaftlichen Traktor (12) zugeordneten Sensoranordnung (36) ein Istwert einer eine Gierrate des landwirtschaftlichen Traktors (12) charakterisierenden Gierratengröße ermittelt sowie zur Erkennung einer Über- oder Untersteuerungsneigung des landwirtschaftlichen Traktors (12) mit einem für die Gierratengröße vorgegebenen Sollwert verglichen wird, wobei die Vorgabe des Sollwerts seitens der Kontrolleinheit (22) entsprechend einem aufgrund von Lenkeinschlag und Fahrtgeschwindigkeit des landwirtschaftlichen Traktors (12) zu erwartenden Gierverhalten erfolgt. Hierbei wird von der Kontrolleinheit (22) bei Erkennung einer in einem Anhängerbetrieb auftretenden Übersteuerungsneigung des landwirtschaftlichen Traktors (12) auf eine schubbedingt forcierte Knickwinkelzunahme oder bei Erkennung einer in einem Anhängerbetrieb auftretenden Untersteuerungsneigung des landwirtschaftlichen Traktors (12) auf eine schubbedingt retardierte Knickwinkelabnahme geschlossen sowie durch fahrerunabhängiges Eingreifen in Radbremseinrichtungen (56, 58) ausschließlich des Anhängers (14) zumindest teilweise kompensiert.