IP Library › Granted Patent US 12,010,947
Granted Patent B2
US 12,010,947 · App. 18/158,005 · Granted Jun 18, 2024

Predictive machine characteristic map generation and control system

Inventors: Nathan R. Vandike (Geneseo, IL); Bhanu Kiran Reddy Palla (Bettendorf, IA); Noel W. Anderson (Fargo, ND)
Assignee: Deere & Company
A01D41/127A01D69/00G01C21/3826G01C21/3837G01S17/89G06N20/00
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Quick Facts
Patent No.
US 12,010,947
App. No.
18/158,005
Granted
Jun 18, 2024
Kind
B2
Abstract

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.

Claims (39)

1. An agricultural work machine comprising:

a communication system that receives a topographic map that maps topographic values of a topographic characteristic to different geographic locations in the 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 the geographic location;

a predictive model generator that generates a predictive agricultural model that models a relationship between the topographic characteristic and the agricultural characteristic based on the topographic value of the topographic characteristic in the topographic map corresponding to the geographic location and the value of the agricultural characteristic detected by the in-situ sensor corresponding to the geographic location; and

a predictive map generator that generates 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 topographic values in the topographic map and based on the predictive agricultural model.

2. The agricultural work machine of claim 1 , wherein the predictive map generator configures the functional predictive agricultural map for consumption by a control system that generates control signals to control a controllable subsystem on the agricultural work machine based on the functional predictive agricultural map.

3. The agricultural work machine of claim 1 , wherein the in-situ sensor on the agricultural work machine is configured to detect, as the value of the agricultural characteristic, a value of an internal material distribution corresponding to the geographic location.

4. The agricultural work machine of claim 1 , wherein the in-situ sensor on the agricultural work machine is configured to detect, as the value of the agricultural characteristic, a value of grain loss or a value of grain quality corresponding to the geographic location.

5. The agricultural work machine of claim 1 , wherein the in-situ sensor on the agricultural work machine is configured to detect, as the value of the agricultural characteristic, a value of a tailings characteristic corresponding to the geographic location.

6. The agricultural work machine of claim 1 , wherein the in-situ sensor on the agricultural work machine is configured to detect, as the value of the agricultural characteristic, a value of a power characteristic corresponding to the geographic location.

7. The agricultural work machine of claim 6 , wherein the power characteristic includes power usage by one or more subsystems of the agricultural work machine.

8. The agricultural work machine of claim 1 and further comprising:

a control system that generates a control signal to control a controllable subsystem of the agricultural work machine based on the functional predictive agricultural map.

9. The agricultural work machine of claim 1 , wherein the in-situ sensor on the agricultural work machine is configured to detect, as the value of the agricultural characteristic, a machine speed corresponding to the geographic location.

10. The agricultural work machine of claim 1 , wherein the in-situ sensor on the agricultural work machine is configured to detect, as the value of the agricultural characteristic, a value of a crop characteristic corresponding to the geographic location.

11. The agricultural work machine of claim 1 , wherein the in-situ sensor on the agricultural work machine is configured to detect, as the value of the agricultural characteristic, a value of a characteristic of the field corresponding to the geographic location.

12. A computer implemented method of generating a functional predictive agricultural map, the method comprising:

receiving a topographic map that indicates values of a topographic characteristic corresponding to different geographic locations in a field;

detecting a geographic location of an agricultural work machine;

detecting, with an in-situ sensor, a value of an agricultural characteristic corresponding to the geographic location;

generating a predictive agricultural model that models a relationship between the topographic characteristic and the agricultural characteristic; and

controlling a predictive map generator to generate the functional predictive agricultural map of the field, that maps predictive values of the agricultural characteristic to the different locations in the field based on the values of the topographic characteristic in the topographic map and the predictive agricultural model.

13. The computer implemented method of claim 12 and further comprising:

configuring the functional predictive agricultural map for a control system that generates control signals to control a controllable subsystem on the agricultural work machine based on the functional predictive agricultural map.

14. The computer implemented method of claim 12 , wherein the topographic characteristic values comprise values indicative of one or more of a ground elevation, a ground slope and a ground roughness.

15. The computer implemented method of claim 14 , wherein detecting the value of the agricultural characteristic comprises detecting a value of a crop characteristic.

16. The computer implemented method of claim 14 , wherein detecting the value of the agricultural characteristic comprises detecting a value of a characteristic of the field.

17. The computer implemented method of claim 12 and further comprising:

controlling an operator interface mechanism to present the predictive agricultural map.

18. The computer implemented method of claim 12 and further comprising:

controlling a controllable subsystem of the agricultural work machine based on the functional predictive agricultural map.

19. An agricultural system comprising:

a communication system that receives a topographic map that indicates values of a topographic characteristic corresponding to different geographic locations in a field;

a geographic position sensor that detects a geographic location of an agricultural work machine;

an in-situ sensor that detects a value of an agricultural characteristic corresponding to the geographic location;

a predictive model generator that generates a predictive model that models a relationship between the topographic characteristic and the agricultural characteristic based on a topographic value in the topographic map corresponding to the geographic location and the value of the agricultural characteristic detected by the in-situ sensor corresponding to the geographic location; and

a predictive map generator that generates a functional predictive agricultural characteristic map of the field, that maps predictive agricultural characteristic values to the different locations in the field, based on the topographic values in the topographic map and based on the predictive model.

20. The agricultural system of claim 19 , wherein the in-situ sensor detects, as the agricultural characteristic, one of a crop characteristic, or a characteristic of the field.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 23, 2023
From: VANDIKE, NATHAN R.; PALLA, BHANU KIRAN REDDY; ANDERSON, NOEL W.
To: DEERE & COMPANY
Reel/Frame 062452/0209 →
Continuity (6)
Continuation 17066442 · Oct 8, 2020
Continuation In Part 16783511 · Feb 6, 2020
Continuation In Part 16783475 · Feb 6, 2020
Continuation In Part 16380531 · Apr 10, 2019
Continuation In Part 16171978 · Oct 26, 2018
Related Publication 20230148474A1 · May 18, 2023