Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for milestone prediction of fuel and chemical usage. An example apparatus includes one or more memories comprising computer readable instructions; one or more processors to execute the computer readable instructions to determine a current amount of fuel required without halt and a current fuel consumption rate for a machine during a harvesting event in a field based on a first amount of fuel required without halt, a first fuel consumption rate, and real time information from sensors of the machine, and determine a real time amount of fuel required based on the current amount of fuel required without halt, the current fuel consumption rate, and a halt time for the machine during the harvesting event, the one or more processors to use the real time amount of fuel required to schedule fuel delivery for the machine.

Abstract: A harvester receives obstacle and turn information indicative of positions of obstacles and the locations of turns. A relative position of the harvester and a receiving vehicle is detected and control signals are generated to control unloading functionality, which may include an unloading auger, a spout position and/or a flap position during unloading, while the obstacle is being avoided and/or while a turn is being navigated. An indication of some or all of the relative position, obstacle and turn information, and control signals can be uploaded to a remote server computing system for use in performing future machine control and analytics.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for milestone prediction of fuel and chemical usage. An example apparatus includes one or more memories comprising computer readable instructions; one or more processors to execute the computer readable instructions to determine a current amount of fuel required without halt and a current fuel consumption rate for a machine during a harvesting event in a field based on a first amount of fuel required without halt, a first fuel consumption rate, and real time information from sensors of the machine, and determine a real time amount of fuel required based on the current amount of fuel required without halt, the current fuel consumption rate, and a halt time for the machine during the harvesting event, the one or more processors to use the real time amount of fuel required to schedule fuel delivery for the machine.