Machine control using a predictive map
One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.
1. An agricultural work machine comprising:
a communication system that receives an information map that includes values of a topographic characteristic corresponding to different geographic locations in a field;
a geographic position sensor that detects a geographic location of the agricultural work machine;
an in-situ sensor that detects a value of a first agricultural characteristic corresponding to a geographic location;
a controllable subsystem;
one or more processors; and
a data store that stores a set of computer executable instructions that when executed by the one or more processors cause the one or more processors to:
generate a functional predictive agricultural map of the field that maps predictive values of a second agricultural characteristic to the different geographic locations in the field based on the values of the topographic characteristic in the information map and based on the value of the first agricultural characteristic; and
generate a control signal to control the controllable subsystem based on the geographic location of the agricultural work machine and based on the predictive values of the second agricultural characteristic in the functional predictive agricultural map.
2. The agricultural work machine of claim 1 , wherein the controllable subsystem comprises a first draper belt.
3. The agricultural work machine of claim 2 , wherein the computer executable instructions, when executed by the one or more processors, further cause the one or more processors to generate an additional control signal to control a second draper belt of the agricultural work machine independent of the first draper belt.
4. The agricultural work machine of claim 1 , wherein the in-situ sensor comprises a draper belt speed sensor that detects a draper belt speed as the value of the first agricultural characteristic.
5. The agricultural work machine of claim 1 , wherein the in-situ sensor comprises an operator input sensor that detects an operator input indicative of an operator command setting the draper belt speed, as the value of the first agricultural characteristic.
6. The agricultural work machine of claim 1 , wherein the in-situ sensor comprises a material flow sensor that detects a value of a material flow characteristic as the value of the first agricultural characteristic.
7. The agricultural work machine of claim 1 , wherein prior information map comprises a topographic map that maps, as the values of the topographic characteristic, slope values to the different geographic locations in the field.
8. The agricultural work machine of claim 1 , wherein the computer executable instructions, when executed by the one or more processors, further cause the one or more processors to:
generate a predictive draper belt model that models a relationship between the topographic characteristic and a draper belt speed based on a value of the topographic characteristic in the information map at the geographic location and a value of the first agricultural characteristic detected by the in-situ sensor at the geographic location; and
generate the functional predictive agricultural map based on the values of the topographic characteristic in the information map and based on the predictive draper belt model.
9. The agricultural work machine of claim 1 , wherein the computer executable instructions, when executed by the one or more processors, further cause the one or more processors to:
generate a user interface map representation of the functional predictive agricultural map, the user interface map representation comprising a field portion with one or more markers indicating the predictive values of the second agricultural characteristic at one or more geographic locations on the field portion.
10. The agricultural work machine of claim 9 , wherein the user interface map representation further includes an interactive display portion that displays a value display portion indicative of a selected value, an interactive threshold display portion indicative of an action threshold, and an interactive action display portion indicative of a control action to be taken when one of the predictive values of the second agricultural characteristic satisfies the action threshold in relation to the selected value, the control system generating the control signal to control the controllable subsystem based on the control action.
11. A computer implemented method of controlling an agricultural work machine, the computer implemented method comprising:
obtaining an information map that includes values of a topographic characteristic corresponding to different geographic locations in a field;
detecting a geographic location of the agricultural work machine;
detecting, with an in-situ sensor, a value of an agricultural characteristic corresponding to a geographic location;
generating a functional predictive agricultural map of the field that maps predictive values of the agricultural characteristic to the different geographic locations in the field based on the values of the topographic characteristic in the prior information map and based on the detected value of the agricultural characteristic corresponding to the geographic location; and
controlling a controllable subsystem based on the geographic location of the agricultural work machine and based on the predictive values in the functional predictive agricultural map.
12. The computer implemented method of claim 11 , wherein generating the functional predictive map comprises:
generating a functional predictive draper belt speed map that maps predictive draper belt speed values, as the predictive values of the agricultural characteristic, to the different geographic locations in the field.
13. The computer implemented method of claim 12 , wherein controlling the controllable subsystem comprises:
generating a draper belt speed control signal based on the geographic location of the agricultural work machine and the functional predictive draper belt speed map; and
controlling the controllable subsystem based on the draper belt speed control signal to control a speed of a draper belt of the agricultural work machine.
14. The computer implemented method of claim 13 , wherein controlling the controllable subsystem comprises:
controlling the controllable subsystem based on the draper belt speed control signal to control a second speed of a second draper belt of the agricultural work machine.
15. The computer implemented method of claim 11 , wherein generating the functional predictive map comprises:
generating a functional predictive operator command map that maps predictive operator commands, as the predictive values of the agricultural characteristic, to the different geographic locations in the field.
16. The computer implemented method of claim 15 , wherein controlling the controllable subsystem comprises:
generating an operator command control signal indicative of an operator command based on the geographic location of the agricultural work machine and the functional predictive operator command map; and
controlling the controllable subsystem based on the operator command control signal to execute the operator command.
17. The computer implemented method of claim 11 , wherein detecting, with the in-situ sensor, the value of the agricultural characteristic corresponding to the geographic location comprises detecting, with the in-situ sensor, a value of draper belt speed corresponding to the geographic location, the computer implemented method further comprising:
executing computer executable instructions to generate a predictive draper belt model that models a relationship between the topographic characteristic and the draper belt speed based on a value of the topographic characteristic in the information map at the geographic location and the value of the draper belt speed detected by the in-situ sensor corresponding to the geographic location, wherein generating the functional predictive agricultural map comprises generating the functional predictive agricultural map based on the values of the topographic characteristic in the information map and based on the predictive draper belt model.
18. The computer implemented method of claim 17 further comprising:
detecting, with a second in-situ sensor, a value of a second draper belt speed corresponding to the geographic location; and
executing computer executable instructions to generate a second predictive draper belt model that models a relationship between the topographic characteristic and the second draper belt speed based on the value of the topographic characteristic in the information map at the geographic location and the value of the second draper belt speed detected by the in-situ sensor at the geographic location, wherein generating the functional predictive agricultural map comprises generating the functional predictive agricultural map based on the second predictive draper belt model.
19. An agricultural system comprising:
a communication system that receives an information map that includes values of a topographic characteristic corresponding to different geographic locations in a field;
a geographic position sensor that detects a geographic location of the agricultural work machine;
an in-situ sensor that detects a value of an agricultural characteristic corresponding to a geographic location;
a controllable subsystem;
one or more processors; and
a data store that stores computer executable instructions that, when executed by the one or more processors, cause the one or more processors to:
generate a functional predictive agricultural map of the field that maps predictive values of the agricultural characteristic to the different geographic locations in the field based on the values of the topographic characteristic in the information map and based on the value of the agricultural characteristic detected by the in-situ sensor corresponding to the geographic location; and
generate a control signal to control the controllable subsystem based on the geographic location of the agricultural work machine and based on the predictive values in the functional predictive agricultural map.
20. The agricultural system of claim 19 , wherein the computer executable instructions, when executed by the one or more processors, further cause the one or more processors to:
generate a predictive agricultural model that models a relationship between the topographic characteristic and the agricultural characteristic based on a value of the topographic characteristic in the information map at the geographic location and the value of the agricultural characteristic detected by the in-situ sensor corresponding to the geographic location; and
generate the functional predictive agricultural map based on the predictive agricultural model.