Embodiments of systems and methods to determine depth of soil coverage for an underground feature along a right-of-way are disclosed. In an embodiment, the method may include receiving a depth of cover measurement for the right-of-way. The method may include capturing baseline images of the right-of-way within a first selected time of the depth of cover measurement. The method may include rendering a three dimensional elevation model of the right-of-way from the baseline images. The method may include georeferencing the three dimensional elevation model to generate a georeferenced three dimensional elevation model. The method may include adding the depth of cover measurement to the georeferenced three dimensional elevation model. The method may include rendering an updated three dimensional elevation model of the right-of-way from subsequently captured images. The method may include determining a delta depth of coverage based on the georeferenced and the updated three dimensional elevation model.

Embodiments of systems and methods to determine vegetation migration encroachment along a right-of-way associated with an underground feature are disclosed. In an embodiment, the method may include capturing images of one or more sections of the right-of-way at a selected time period. The method may include georeferencing the images to correlate the images with a surface of a geographical location of the right-of-way. The method may include determining and clipping an area of interest for the images. The method may include tiling clipped images to a preselected size to define a plurality of tiled clipped images. The method may include determining a vegetation migration encroachment onto the right-of-way by application of the clipped images to the trained machine learning model. The method may include, in response to a determination that the vegetation migration encroachment exceeds a threshold, generating an indication of vegetation migration encroachment.

Embodiments of systems and methods to determine vegetation migration encroachment along a right-of-way associated with an underground feature are disclosed. In an embodiment, the method may include capturing images of one or more sections of the right-of-way at a selected time period. The method may include georeferencing the images to correlate the images with a surface of a geographical location of the right-of-way. The method may include determining and clipping an area of interest for the images. The method may include tiling clipped images to a preselected size to define a plurality of tiled clipped images. The method may include determining a vegetation migration encroachment onto the right-of-way by application of the clipped images to the trained machine learning model. The method may include, in response to a determination that the vegetation migration encroachment exceeds a threshold, generating an indication of vegetation migration encroachment.

A header assembly for a harvesting machine comprising a primary cutter head for cutting the crop, and a feeder for feeding the cut crop into the mouth of a crop processing mechanism. The assembly further comprises a secondary scissor-action cutter head trailing behind the primary cutter head for cutting stalks left behind by the primary cutter head, the secondary cutter head coupled to the rear of the header and supported by ground engaging rollers. The rollers include at least one support cylinder having a circumferentially discontinuous ground engaging outer surface operative to perform a preliminary processing of at least one of the crop residue and the soil.

In some instances, stalk conditioners for conditioning stalk stubble present in a field after harvesting of a crop may include a bracket configured to be secured to a piece of agricultural equipment, such as an implement; an arm pivotably coupled to the bracket; and a blade that is disposed in a slot formed in the arm. The blade may be rotatable relative to the arm. The blade and arm may be configured to engage stalks stubble within a field following harvesting of crops, including during the course of a harvesting operation, to break and cut the stalks so as to promote decomposition of the stalk stubble.

A header for harvesting stalk-like plants includes a number of gatherer assemblies arranged side by side for cutting off and conveying plants to a picking device arranged downstream of the gatherer assemblies. The picking device extends transversely to a direction of travel over the entire working width of at least one half of the header and includes a picking gap and stalk roll below the picking gap to separate fruits from the plants and to deliver them for a separate utilization.

The present disclosure relates to a method for defining a boundary of a work area (30) in a robotic lawnmower system, the system comprising a robotic lawnmower (1), configured to process the work area (30) and to determine its position (xr, yr, zr) in the work area, and a separate, mobile device (11) configured to determine its position (xm, ym, zm) in the work area (30) and having a camera (13) configured to capture images of the work area (30) and a display (15) which provides a user interface, enabling a user to define boundary segments (33, 37) of the work area boundary (31, 39) therein as a set of positions which are transferred to the robotic lawnmower (1). The separate, mobile device (11) receives satellite positioning data from a plurality of satellites and correction positioning data from a reference station (31), thereby increasing the precision of its position detection.

The present disclosure relates to a method for defining a boundary of a work area (30) in a robotic lawnmower system, the system comprising a robotic lawnmower (1), configured to process the work area (30) and to determine its position (xr, yr, zr) in the work area, and a separate, mobile device (11) configured to determine its position (xm, ym, zm) in the work area (30) and having a camera (13) configured to capture images of the work area (30) and a display (15) which provides a user interface, enabling a user to define boundary segments (33, 37) of the work area boundary (31, 39) therein as a set of positions which are transferred to the robotic lawnmower (1). The separate, mobile device (11) receives satellite positioning data from a plurality of satellites and correction positioning data from a reference station (31), thereby increasing the precision of its position detection.

A corn kernel harvesting device and method thereof is provided. As the corn kernel harvesting device, or corn shucker, moves from a first configuration to a second configuration, the device separates corn kernels from its respective inner core, such as a corn cob. The corn kernel harvesting device comprises an ejection assembly, harvesting assembly, discharge assembly, and is configured to enable a user to remove corn kernels efficiently and consistently from a corn cob.

A land roller implement for chopping vegetation on the ground has one or more rollers including a drum body with mounting flanges protruding radially from the drum body onto which chopping blades can be fastened. The mounting flanges are fixed to the drum body with front weld beads that are spaced apart along the leading face of the mounting flanges. The blades are notched along the inner end to define recessed portions aligned with and receiving the front weld beads therein such that protruding portions at the inner end of the blades between the recessed portions are able to abut against the peripheral surface of the drum body without interference by the front weld beads. The bolts fastening the blades to the mounting flanges are thus isolated from shear forces by the abutting protruding portions while the mounting flanges remain secured against folding backward due to the presence of the front weld beads within the recessed portions.