Abstract: A vehicle sink alert method and system that includes collecting image data, determining field conditions, calculating wheel sink depth, predicting vehicle sink events using wheel sink depth and field conditions, and activating an alert when a vehicle sink event is predicted. The method can include predicting vehicle sink events using GPS coordinates and historical vehicle sink data. The method can include determining and using vehicle motion to predict vehicle sink events. Predicting vehicle sink events can include forming a multi-dimensional model with positive sink points where vehicle sink events have occurred and negative sink points where vehicle sink events have not occurred; generating a current vehicle point using monitored and calculated data; determining whether the current vehicle point is within a positive sink region formed by the positive sink points; and predicting a vehicle sink event if the current vehicle point is within the positive sink region.

Abstract: A residue detection and implement control system and method are disclosed for an agricultural implement. The system includes a source of environment data and image data of an imaged area of a crop field containing residue. The system includes a data store containing a plurality of image processing methods and at least one controller that processes the image data according to one or more image processing instruction sets. The controller selects one or more of the image processing methods based on the environment data, and processes the image data using the selected image processing instruction(s) to determine a value corresponding to residue coverage in the imaged area of the field. The controller adjusts the configuration of the agricultural implement to respond to the amount and type of residue detected.

Abstract: A residue detection and implement control system and method are disclosed for an agricultural implement. The system includes a source of environment data and image data of an imaged area of a crop field containing residue. The system includes a data store containing a plurality of image processing methods and at least one controller that processes the image data according to one or more image processing instruction sets. The controller selects one or more of the image processing methods based on the environment data, and processes the image data using the selected image processing instruction(s) to determine a value corresponding to residue coverage in the imaged area of the field. The controller adjusts the configuration of the agricultural implement to respond to the amount and type of residue detected.

Abstract: A vehicle sink alert method and system that includes collecting image data, determining field conditions, calculating wheel sink depth, predicting vehicle sink events using wheel sink depth and field conditions, and activating an alert when a vehicle sink event is predicted. The method can include predicting vehicle sink events using GPS coordinates and historical vehicle sink data. The method can include determining and using vehicle motion to predict vehicle sink events. Predicting vehicle sink events can include forming a multi-dimensional model with positive sink points where vehicle sink events have occurred and negative sink points where vehicle sink events have not occurred; generating a current vehicle point using monitored and calculated data; determining whether the current vehicle point is within a positive sink region formed by the positive sink points; and predicting a vehicle sink event if the current vehicle point is within the positive sink region.

Abstract: A residue detection and implement control system and method are disclosed for an agricultural implement. The system includes a source of environment data and image data of an imaged area of a crop field containing residue. The system includes a data store containing a plurality of image processing methods and at least one controller that processes the image data according to one or more image processing instruction sets. The controller selects one or more of the image processing methods based on the environment data, and processes the image data using the selected image processing instruction(s) to determine a value corresponding to residue coverage in the imaged area of the field. The controller adjusts the configuration of the agricultural implement to respond to the amount and type of residue detected.