A method for controlling a utility vehicle includes detecting, via a sensor, an elevation profile of a region located in front of the utility vehicle in the direction of travel. The method also includes initializing a grid comprising a plurality of grid cells. The grid extends at least in a longitudinal direction and in a vertical direction of the region. The method further includes assigning the detected elevation profile to associated grid cells by writing elevation profile data into grid cells and controlling the vehicle based on the elevation profile data.

A rear perception module is utilized in conjunction with a work vehicle having a work vehicle cabin and a cabin roof. In an embodiment, the rear perception module includes an environmental depth perception (EDP) sensor system including a first EDP device having a field of view encompassing an environmental region to a rear of the work vehicle, a rear module housing mounted to an upper trailing edge portion of the cabin roof, and vents formed in exterior walls of the rear module housing to facilitate airflow through the rear module housing along a cooling airflow path. A heat-generating electronic component is electrically coupled to the first EDP device and positioned in or adjacent the cooling airflow path such that excess heat generated by the heat-generating electronic component is dissipated by convective transfer to airflow conducted along the cooling airflow path during operation of the rear perception module.

A front perception module is utilized in conjunction with a front ballast system, which is included in a work vehicle and which has a laterally-extending hanger bracket supporting a number of removable ballast weights. In various embodiments, the front perception module includes an environmental depth perception (EDP) sensor system including a first EDP device having a field of view (FOV) encompassing an environmental region forward of the work vehicle, a mounting base attached to the work vehicle, and a front module housing containing the EDP sensor system and joined to the work vehicle through the mounting base. The front module housing is positioned over and vertically spaced from the laterally-extending hanger bracket in a manner enabling positioning of the removable ballast weights beneath the front module housing.

A system having a boom; an arm attached to the boom; and a camera connected to the arm; wherein at least one of i) a distance between the boom and the camera is adjustable, ii), an angle between the arm and the boom is adjustable, and iii) the camera is rotatably connected to the arm.

A system and method for controlling an implement connected to a vehicle is described, wherein the implement is adapted to perform an agricultural operation on a field, the vehicle has steerable ground engaging means for propelling the vehicle over the field, an actuator is arranged to control at least one of a yaw angle and a lateral position of the implement with respect to the vehicle, and an implement control unit is programmed to control the actuator based upon a first signal regarding a difference between a sensed lateral position of the implement and a nominal lateral position of the implement and a second signal regarding a steering movement of the vehicle.

A method and a module for picking weeds or plants with an implement provided on an agricultural vehicle is provided. The method comprises capturing images of a field traveled by the agricultural vehicle, the field comprising weeds and crops. The method also comprises generating a map from the captured images, comprising coordinates of the weeds and crops; determining, based on the coordinates of the weeds and crops, at least one picking location that maximizes a number of weeds to be picked in a single take and one offset for the implement to follow for arriving at the optimal location; moving the implement along the offset; and picking weeds at the optimal location with the implement.

The mower includes a mower body having a mower blade portion for mowing grass, a first position estimation unit for estimating a self position of the mower main body using a satellite positioning system, a second position estimation unit for estimating a self position of the mower body using a sensor portion provided in the mower body, a detection unit for detecting a portion covered with grass and tree on a preset travel path, and an automatic travel control unit for causing the mower body to travel on the travel path with reference to the self position estimated by the first position estimation unit, and for causing the mower body to travel by switching to refer to the self position estimated by the second position estimation unit at a portion covered with the grass and tree detected by the detection unit.

A method for online calibration of an environment detection system (12) of an agricultural utility vehicle (10). The method is carried out during operation of the agricultural utility vehicle (10). During a first step, the environment detection system (12) detects the current environment of the agricultural utility vehicle (10). During a further step, current extrinsic calibration parameters are determined on the basis of the current environment (20) detected. Furthermore, a calibration device (14) for carrying out the method and an agricultural utility vehicle (10) with such a calibration device (14) are also described.

An agricultural machine includes a swath information acquiring module, a first determining module to determine a traveling path of an automatic operation based on a position of a swath, a setting module to set a work continuation width based on the traveling path, a second determining module to determine, when there is a manual operation by a worker during the automatic operation, whether the agricultural machine during the manual operation is within the work continuation width, and an executing module to execute the automatic operation. The executing module restores the agricultural machine to the traveling path after a termination of the manual operation and continues the automatic operation when the agricultural machine is within the work continuation width, and cancels the automatic operation when the agricultural machine is determined to be not within the work continuation width.

A method for verifying regenerative management practices in agricultural parcels includes: determining a regenerative carbon footprint value for a parcel that comprises a difference of a regenerative carbon footprint and a baseline carbon footprint, where the baseline carbon footprint is derived by calculating greenhouse gas emissions based on simulating crops under current management practices, and where the regenerative carbon footprint is derived by calculating greenhouse gas emissions based on simulating crops under regenerative management practices corresponding to a plan proposed by a grower; approving and publishing carbon credits according to the plan; for key dates corresponding to each of the regenerative management practices, processing remotely sensed images against corresponding crop curves to determine compliance/noncompliance indicators corresponding to the key dates; and storing the compliance/noncompliance indicators database, and determining at a verification date compliance with the plan.