Methods and systems for controlling power supply of agricultural implement(s) attached to an agricultural vehicle. Embodiments herein disclose a control system for controlling power supply of the agricultural implement. The control system includes a control unit that is configured to power up at least one component of the control system on receiving at least one signal by at least one speed sensor based on a rotation of the agricultural implement. The generated at least one signal corresponds to an operative mode of the agricultural implement.

A computer-implemented method includes obtaining field data for a field that was generated prior to an agricultural harvesting machine operating on the field, the field data representing an estimated yield, obtaining yield data, that is georeferenced to the field, based on a signal from a yield sensor on the agricultural harvesting machine, applying a flow model to the yield data to generate a yield map, the flow model having a set of parameters that models material flow through a harvesting system of the agricultural harvesting machine, obtaining an adjusted set of parameters based on a correlation between the yield map and the estimated yield, modifying the yield map based on the adjusted set of parameters, and generating a control signal based on the modified yield map.

Systems and methods for targeted illumination of an object coupled to a machine, such as an implement coupled to an agricultural vehicle, are disclosed. The systems and methods include sensing an area adjacent to the machine, determining whether an implement is present in the sensed area, and providing targeted illumination to the detected object while avoiding the provision of light to the area that is not occupied by the object.

Systems and methods for targeted illumination of an object coupled to a machine, such as an implement coupled to an agricultural vehicle, are disclosed. The systems and methods include sensing an area adjacent to the machine, determining whether an implement is present in the sensed area, and providing targeted illumination to the detected object while avoiding the provision of light to the area that is not occupied by the object.

A ladder system includes a rail, a ladder bracket supported by and configured to slide along the first rail and the second rail, a ladder coupled to the ladder bracket and configured to rotate with respect to the ladder bracket between a lowered position and a storage position, and a bumper coupled to the ladder and configured to apply a force to a bumper stop when the ladder is in the lowered position to keep the ladder bracket from sliding along the rail. An agricultural vehicle includes a chassis supported by a plurality of wheels, and a ladder system carried by the chassis. Related methods are also disclosed.

A ladder system includes a rail, a ladder bracket supported by and configured to slide along the first rail and the second rail, a ladder coupled to the ladder bracket and configured to rotate with respect to the ladder bracket between a lowered position and a storage position, and a bumper coupled to the ladder and configured to apply a force to a bumper stop when the ladder is in the lowered position to keep the ladder bracket from sliding along the rail. An agricultural vehicle includes a chassis supported by a plurality of wheels, and a ladder system carried by the chassis. Related methods are also disclosed.

A method and system for estimating surface roughness of a ground for an off-road vehicle to control an implement comprises detecting motion data of an off-road vehicle traversing a field or work site during a sampling interval. A first sensor is adapted to detect pitch data of the off-road vehicle for the sampling interval to obtain a pitch acceleration. A second sensor is adapted to detect roll data of the off-road vehicle for the sampling interval to obtain a roll acceleration. An electronic data processor or surface roughness index module determines or estimates a surface roughness index based on the detected motion data, pitch data and roll data for the sampling interval. The surface roughness index can be displayed on the graphical display to a user or operator of the vehicle.

A method and system for estimating surface roughness of a ground for an off-road vehicle to control an implement comprises detecting motion data of an off-road vehicle traversing a field or work site during a sampling interval. A first sensor is adapted to detect pitch data of the off-road vehicle for the sampling interval to obtain a pitch acceleration. A second sensor is adapted to detect roll data of the off-road vehicle for the sampling interval to obtain a roll acceleration. An electronic data processor or surface roughness index module determines or estimates a surface roughness index based on the detected motion data, pitch data and roll data for the sampling interval. The surface roughness index can be displayed on the graphical display to a user or operator of the vehicle.

Described herein are technologies for mapping sensed positions of a toolbar of an agricultural implement, such as when the implement moves through a crop field. The technologies include a method including (1) sensing a position of the toolbar at a geographic location of the field, (2) matching the location of the field with a position in a map of the field corresponding to the location, and (3) associating the sensed position of the toolbar to the position in the map. In some embodiments, the method includes repeating the aforesaid operations for multiple geographic locations of the field and rendering an image of the map to be displayed in a GUI. Also, in some embodiments, the method includes rendering the image of the map with an image of a yield map of the field. In some embodiments, the method includes generating a topographic map based on the sensed toolbar positions.

A work vehicle includes a frame configured to support a plurality of components of the work vehicle. Furthermore, the work vehicle includes a location sensor configured to capture data indicative of a location of the work vehicle within a field. Additionally, the work vehicle includes a computing system communicatively coupled to the location sensor. The computing system is configured to control an operation of the plurality of components as the work vehicle makes a first pass across the field. Moreover, the computing system is configured to record a travel path of the work vehicle as the work vehicle make the first pass across the field based on data captured by the location sensor. In addition, the computing system is configured to generate a continuous swath line formed from a plurality of line segments such that the continuous swath line corresponds to the recorded travel path of the work vehicle.