IP Library › Granted Patent US 11,474,523
Granted Patent B2
US 11,474,523 · App. 17/067,595 · Granted Oct 18, 2022

Machine control using a predictive speed map

Inventors: Nathan R Vandike (Geneseo, IL); Bhanu Kiran Reddy Palla (Bettendorf, IA); Noel W. Anderson (Fargo, ND)
Assignee: Deere & Company
G05D1/0212A01D41/127B60K35/00G01C21/3841G01C21/3848B60K2370/152B60K2370/166
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Quick Facts
Patent No.
US 11,474,523
App. No.
17/067,595
Granted
Oct 18, 2022
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 (52)

1. An agricultural system comprising:

a communication system that receives an information map that includes values of a machine speed 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 map generator that generates a functional predictive agricultural map of the field that maps predictive control values to the different geographic locations in the field based on the values of the machine speed in the information map and based on the value of the agricultural characteristic; and

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

2. The agricultural system of claim 1 , wherein the information map comprises:

a predictive machine speed map that maps, as the control values, machine speed values indicative of predicted speed of the agricultural work machine at the different locations in the field.

3. The agricultural system of claim 2 , and further comprising:

a speed-to-in-situ sensor data model generator that generates a predictive sensor data model that models a relationship between the predictive machine speed values and the agricultural characteristic based on the predictive machine speed values in the predictive machine speed map at the geographic location and the value of the agricultural characteristic corresponding to the geographic location.

4. The agricultural system of claim 3 , wherein the predictive map generator comprises:

a predictive sensor data map generator that generates a functional predictive sensor data map that maps predictive values of the agricultural characteristic to the different geographic locations in the field.

5. The agricultural system of claim 4 , wherein the control system comprises:

a controller that generates a control signal, based on the geographic location and the functional predictive sensor data map, and controls the controllable subsystem based on the control signal.

6. The agricultural system of claim 1 , wherein the control system further comprises:

an operator interface controller that generates a user interface map representation of the functional predictive agricultural map, the user interface map representation comprising a field portion.

7. The agricultural system of claim 6 , wherein the user interface map representation further comprises:

a machine speed symbol indicating a value of the machine speed at one or more geographic locations on the field portion.

8. The agricultural system of claim 7 , wherein the operator interface controller generates the user interface map representation to include an interactive display portion that displays a detected characteristic display indicative of the detected agricultural characteristic, an interactive threshold display portion indicative of an action threshold, and an interactive action indicator indicative of a control action to be taken when the detected agricultural characteristic satisfies the action threshold, the control system generating the control signal to control the controllable subsystem based on the control action.

9. A computer implemented method of controlling an agricultural work machine comprising:

obtaining an information map that includes values of machine speed 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 the geographic location;

generating a functional predictive agricultural map of the field that maps predictive control values to the different geographic locations in the field based on the values of the machine speed in the information map and based on the value of the agricultural characteristic; and

controlling a controllable subsystem based on the geographic position of the agricultural work machine and based on the control values in the functional predictive agricultural map.

10. The computer implemented method of claim 9 , wherein obtaining an information map comprises:

obtaining a predictive machine speed map that maps machine speed values indicative of predicted speed of the agricultural work machine at the different locations in the field.

11. The computer implemented method of claim 10 , and further comprising:

generating, with a speed-to-in-situ model generator, a predictive sensor data model that models a relationship between the predictive machine speed values and the agricultural characteristic based on the predictive machine speed value in the predictive machine speed map at the geographic location and the value of the agricultural characteristic corresponding to the geographic location.

12. The computer implemented method of claim 11 , and further comprising:

generating, with a predictive sensor data map generator, a functional predictive sensor data map, as the functional predictive agricultural map, that maps, as the predictive control values, predictive values of the agricultural characteristic to the different geographic locations in the field.

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

generating a control signal, based on the geographic location and the functional predictive sensor data map, and controlling the controllable subsystem based on the control signal.

14. The computer implemented method of claim 9 , and further comprising:

generating a user interface map representation of the functional predictive agricultural map, the user interface map representation comprising a field portion.

15. The computer implemented method of claim 14 , wherein generating the user interface map representation of the functional predictive agricultural map further comprises:

generating, as part of the user interface map representation, a machine speed symbol indicating a value of the machine speed at one or more geographic locations on the field portion.

16. The computer implemented method of claim 15 , generating the user interface map representation of the functional predictive agricultural map further comprises:

generating, as part of the user interface map representation, an interactive display portion that displays a detected characteristic display indicative of the detected agricultural characteristic, an interactive threshold display portion indicative of an action threshold, and an interactive action indicator indicative of a control action to be taken when the detected agricultural characteristic satisfies the action threshold, the control system generating the control signal to control the controllable subsystem based on the control action.

17. An agricultural system comprising:

a communication system that receives an information map that includes values of a machine speed 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 agricultural model that models a relationship between the machine speed and the agricultural characteristic based on a value of the machine speed in the information map at the geographic location and a value of the agricultural characteristic sensed by the in-situ sensor corresponding to the geographic location;

a predictive map generator that generates a functional predictive agricultural map of the field that maps predictive control values to the different geographic locations in the field based on the values of the machine speed in the information map and based on the predictive agricultural model;

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

18. The agricultural system of claim 17 , wherein the in-situ sensor generates a sensor signal indicative of the agricultural characteristic and further comprises:

a processing system that receives the sensor signal and is configured to identify the value of the agricultural characteristic corresponding to the geographic location, based on the sensor signal.

19. The agricultural system of claim 17 , wherein the control system further comprises:

an operator interface controller that generates a user interface map representation of the functional predictive agricultural map, the user interface map representation comprising a field portion and a machine speed symbol indicating a value of the machine speed at one or more geographic locations on the field portion.

20. The agricultural system of claim 17 , wherein the predictive map generator comprises:

a predictive sensor data map generator that generates, as the functional predictive agricultural map, a functional predictive sensor data np that maps, as the predictive control values, predictive values of the agricultural characteristic to the different geographic locations in the field.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 17, 2020
From: VANDIKE, NATHAN R.; PALLA, BHANU KIRAN REDDY; ANDERSON, NOEL W.
To: DEERE & COMPANY
Reel/Frame 054677/0465 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 9, 2020
From: VANDIKE, NATHAN R.; PALLA, BHANU KIRAN REDDY; ANDERSON, NOEL W.
To: DEERE & COMPANY
Reel/Frame 054021/0959 →
Continuity (1)
Related Publication 20220113730A1 · Apr 14, 2022
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