System and method for controlling an agricultural harvesting campaign

1. A method for controlling an agricultural harvesting campaign in which predetermined harvesting activities are processed within a campaign timeline by a plurality of agricultural working machines of a machine fleet on a field allotment assigned to the harvesting campaign, the method comprising:

generating, by a general application level, a processing sequence of the harvesting activities over the campaign timeline;

providing the processing sequence of the harvesting activities to at least a fine application level and a machine application level;

generating, by the fine application level, harvesting process chains in order to control the processing sequence;

providing the harvesting process chains to at least the general application level and the machine application level;

generating, by the machine application level, machine control data, the machine control data for controlling the plurality of agricultural working machines in implementing the harvesting process chains;

transmitting the machine control data to at least the general application level and the fine application level; and

controlling the plurality of agricultural work machines using the machine control data in implementing the harvesting process chains;

wherein the controlling of the harvesting campaign is executed on the general, fine, and machine application levels of open-loop control by continuously generating information, the generated information comprising remotely-sensed field information, and

wherein the generated information is continuously provided from one of the general, fine, and machine application levels to a remainder of the general, fine, and machine application levels.

2. The method of claim 1 , wherein a general control routine is assigned to the general application level in order to generate the processing sequence and to provide the processing sequence to the fine application level and the machine application level

wherein a fine control routine is assigned to the fine application level in order to generate the harvesting process chains and to provide the harvesting process chains to the general application level and the machine application level; and

wherein a machine control routine is assigned to the machine application level in order to generate the machine control data and to provide the machine control data to the general application level and the fine application level.

3. The method of claim 2 , wherein geo-referenced remotely-sensed field information is processed in at least one of the general control routine, the fine control routine, or the machine control routine from data sources that are machine-remote in terms of the machine fleet; and

wherein geo-referenced live field information is processed in at least one of the general control routine, the fine control routine, or the machine control routine from at least one of the plurality of agricultural working machines' own data sources.

4. The method of claim 3 , wherein the geo-referenced live field information is processed in at least one of the general control routine or the fine control routine.

5. The method of claim 4 , wherein at least part of the remotely-sensed field information and at least part of the live field information are processed in at least two of the general control routine, the fine control routine, and the machine control routine; and

wherein control information available in one of the general control routine, the fine control routine, or the machine control routine is available in a remainder of the general control routine, the fine control routine, and the machine control routine.

6. The method of claim 5 , wherein the general control routine generates the processing sequence of the harvest activities over the campaign timeline based on the remotely-sensed field information and the live field information;

wherein the fine control routine generates the harvesting process chains based on the remotely-sensed field information and the live field information for controlling the processing sequence; and

the machine control routine generates the machine control data while a harvesting mode is running based on the remotely-sensed field information and the live field information for controlling the harvesting process chains.

7. The method according to claim 6 , wherein the general control routine and the fine control routine are executed on machine-remote system hardware remote from the plurality of agricultural working machines; and

wherein the machine control routine is executed on machine system hardware resident in the plurality of agricultural working machines.

8. The method of claim 6 , wherein the general control routine partitions the field allotment into geo-referenced field zones in which a quality feature uniformly exists depending on at least one quality feature that is derived from at least one or both of the remotely-sensed field information or the live field information;

wherein a control system comprises the general control routine, the fine control routine, and the machine control routine; and

wherein the partitioning of the field allotment into the geo-referenced field zones is archived in the control system.

9. The method of claim 8 , wherein the fine control routine generates the harvesting process chains according to an optimization strategy;

wherein the machine control routine generates the machine control data according to the optimization strategy; and

wherein one or both of the harvesting process chains or the machine control data are archived in the control system along with an assigned relevant field zone as the remotely-sensed field information.

10. The method of claim 9 , wherein the remotely-sensed field information as assigned to the relevant field zone is established by at least one or both of the fine control routine in generating the harvesting process chains or the machine control routine in generating the machine control data for the relevant field zone.

11. The method of claim 10 , wherein the general control routine generates the processing sequence with reference to a time of day; and

wherein the remotely-sensed field information references the time of day for a purpose of use in combination with the processing sequence.

12. The method of claim 11 , wherein the field zones reference the time of day; and

wherein the partitioning of the field allotment assigned to the harvesting campaign into field zones is performed separately in the general control routine for different times of day and archived in the control system.

13. The method of claim 12 , wherein the general control routing generates the processing sequence over a course of a day with regard to changing grain moisture values in response to at least part of the field zones having changing grain moisture values at different times of the day.

14. The method of claim 8 , wherein the general control routine defines the processing sequence for the harvesting activities such that the field zones are always harvested as a unit.

15. The method of claim 8 , wherein the field zones are transmitted in the machine control routine to a respective machine control of at least some of the plurality of agricultural working machines and displayed using the respective machine control.

16. The method of claim 6 , wherein the machine control routine generates the machine control data during harvesting mode;

wherein the general control routine generates the processing sequence before the harvesting mode; and

wherein the fine control routine generates the harvesting process chains before the harvesting mode.

17. The method of claim 6 , wherein at least part of the remotely-sensed field information is calibrated based on the live field information.

18. The method of claim 6 , wherein the remotely-sensed field information comprises field information relating to a field allotment assigned to the harvesting campaign including at least one of biomass maps, grain mass maps, non-grain constituent mass maps, maturation maps, yield maps, swath deposit maps, soil moisture maps, dew maps, weed maps, or weather information that is provided by at least one of satellites, drones, or machine-remote databases.

19. The method of claim 6 , wherein the live field information is generated by sensors of at least one of the plurality of working machines of the machine fleet.