Abstract: Methods and apparatus to determine a target speed for an agricultural vehicle are described. An apparatus described herein includes at least one processor circuit to obtain a terrain map corresponding to a field, obtain, from one or more sensors of a vehicle, orientation information and tire pressure information corresponding to the vehicle, execute a predictive model based on (a) the terrain map, (b) the orientation information, and (c) the tire pressure information, and determine, based on a result of the execution, a target speed for the vehicle on the field.

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 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.