An agricultural system is disclosed comprising one or more radar sensors configured to acquire radar data representative of crop rows in an agricultural field. The system also comprises a controller configured to determine crop-property-data based on the radar data. The crop property data is representative of one or more properties of crop rows that are in a field.

In one aspect, a system for controlling the speed of an agricultural implement may include a work vehicle including a vehicle-based controller, with the vehicle-based controller being configured to adjust a drive parameter of the work vehicle. The system may also include an agricultural implement configured to be towed by the work vehicle. The implement may include a sensor configured to detect an operational parameter indicative of an orientation of the implement relative to the work vehicle. The implement may further include an implement-based controller supported on the implement and being communicatively coupled to the sensor. The implement-based controller may be configured to initiate control of the drive parameter of the work vehicle based on sensor data received from the sensor in a manner that adjusts the speed of the implement.

An agricultural hitch with a system for management and guidance of maneuvers and a method employed by the hitch is provided. The hitch includes a tractor, an agricultural machine hitched by an articulated linkage, and a system for management and guidance of maneuvers, provided with a computing and control unit. The computing and control unit or of the hitched agricultural machine constitutes the master unit of the system for management and guidance of maneuvers, and is adapted to compute a set path for a maneuver to come, by employing an algorithm for prediction of paths and an algorithm for optimization of path settings, and to automatically execute the maneuver or of assisting in semiautomatic execution of the maneuver by steering the tractor and by recording, during maneuvering, the differences between the predefined set path and the real or currently estimated path.

An implement adjusting system having an implement with a plurality of adjustable components, a plurality of input values, at least one controlled system configured to adjust at least one of the plurality of adjustable components, and a controller that receives the plurality of input values, the controller configured to reposition the plurality of adjustable components based on the plurality of input values. Wherein, the plurality of adjustable components are repositionable by the controller based on the input values.

Systems and method for coordinating movements of agricultural machines and irrigation systems on irrigated fields to avoid collisions and other interferences between the equipment may be implemented with a mobile irrigation system, a number of agricultural machines, and a processing system. The processing system receives and analyzes data from an irrigation schedule for the irrigation system and location data from the agricultural machines to detect possible interferences between the equipment and takes corrective action if likely interferences are detected.

A system including a beamforming-sensor configured to acquire sensor-data representative of a swath in an agricultural field; and a controller configured to determine swath-property-data based on the sensor-data.

A method, apparatus, or system of estimating vehicle heading taking GNSS antenna movement and/or mounting position into account. Measurements from the GNSS can be used to estimate GNSS antenna yaw or misalignment relative a pivot or control point, or vehicle fixed-body origin. Side-slip is either ignored or, if known, can be used to adjust the estimation of vehicle heading.

A method for determining residue coverage within a field after a harvesting operation may include receiving yield data associated with an estimated crop yield across a field and generating an estimated residue coverage map for the field based at least in part on the yield data. The method may further include receiving residue data associated with residue coverage across a surface of the field following the performance of a harvesting operation within the field. Additionally, the method may include generating an updated residue coverage map for the field based at least in part on the estimated residue coverage map and the residue data.

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.

One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.