Map generation and control system

Patent metadata

Field	Value
Publication number	US-11874669-B2
Application number	US-202017066521-A
Country	US
Kind code	B2
Filing date	Oct 9, 2020
Priority date	Oct 9, 2020
Publication date	Jan 16, 2024
Grant date	Jan 16, 2024

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.

First claim

What is claimed is:

1. An agricultural system comprising:
a communication system that receives an information map that includes values of a first agricultural 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 a second agricultural characteristic indicative of a characteristic of processed material corresponding to the geographic location;
a predictive model generator that generates a predictive agricultural model that models a relationship between the first agricultural characteristic and the second agricultural characteristic based on a value of the first agricultural characteristic in the information map at the geographic location and a value of the second agricultural characteristic sensed by the in-situ sensor at the geographic location; and
a predictive map generator that generates a functional predictive agricultural map of the field that maps predictive values of the second agricultural characteristic to the different geographic locations in the field based on the values of the first agricultural characteristic in the information map and based on the predictive agricultural model.

2. The agricultural system of claim 1 , and further comprising:
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 system of claim 1 , wherein the in-situ sensor comprises:
a tailings characteristic sensor that senses, as the second agricultural characteristic, a characteristic of tailings in the agricultural work machine.

4. The agricultural system of claim 1 , wherein the in-situ sensor comprises:
a loss sensor that senses, as the second agricultural characteristic, a characteristic indicative of crop loss from the agricultural work machine.

5. The agricultural system of claim 1 , wherein the in-situ sensor comprises:
a grain quality sensor that senses, as the second agricultural characteristic, a characteristic indicative of grain quality in the agricultural work machine.

6. The agricultural system of claim 1 , wherein the in-situ sensor comprises:
an internal distribution sensor that senses, as the second agricultural characteristic, a characteristics indicative of a distribution of harvested material in the agricultural work machine.

7. The agricultural system of claim 1 , wherein the predictive map generator comprises:
a tailings characteristic map generator that generates, as the functional predictive agricultural map, a predictive tailings characteristic map that maps, as the predictive values of the second agricultural characteristic, predictive values of a tailings characteristic to the different geographic locations in the field based on the values of the first agricultural characteristic in the information map and based on the predictive agricultural model.

8. The agricultural system of claim 1 , wherein the predictive map generator comprises:
a loss map generator that generates, as the functional predictive agricultural map, a predictive loss map that maps predictive values of a crop loss characteristic to the different geographic locations in the field based on the values of the first agricultural characteristic in the information map and based on the predictive agricultural model.

9. The agricultural system of claim 1 , wherein the predictive map generator comprises:
a grain quality map generator that generates, as the functional predictive agricultural map, a predictive grain quality map that maps predictive values of a grain quality characteristic to the different geographic locations in the field based on the values of the first agricultural characteristic in the information map and based on the predictive agricultural model.

10. The agricultural system of claim 1 , wherein the predictive map generator comprises:
an internal distribution map generator that generates, as the functional predictive agricultural map, a predictive internal distribution map that maps predictive values of an internal distribution characteristic, indicative of a characteristic of processed material distribution in the agricultural work machine, to the different geographic locations in the field based on the values of the first agricultural characteristic in the information map and based on the predictive agricultural model.

11. The agricultural system of claim 1 , wherein the communication system receives, as the information map, a topographic map that includes, as the first agricultural characteristic, a topographic characteristic, wherein the predictive model generator generates the predictive agricultural model to model a relationship between the topographic characteristic and the second agricultural characteristic.

12. The agricultural system of claim 1 , wherein the communication system receives, as the information map, a seed genotype map that includes as the first agricultural characteristic, a seed genotype, wherein the predictive model generator generates the predictive agricultural model to model a relationship between the seed genotype and the second agricultural characteristic.

13. The agricultural system of claim 1 , wherein the communication system receives, as the information map, a vegetative index map that includes, as the first agricultural characteristic, a vegetative index characteristic, wherein the predictive model generator generates the predictive agricultural model to model a relationship between the vegetative index characteristic and the second agricultural characteristic.

14. The agricultural system of claim 1 , wherein the communication system receives, as the information map, a yield map that includes, as the first agricultural characteristic, a predictive yield characteristic, wherein the predictive model generator generates the predictive agricultural model to model a relationship between the predictive yield characteristic and the second agricultural characteristic.

15. The agricultural system of claim 1 , wherein the communication system receives, as the information map, a biomass map that includes, as the first agricultural characteristic, a biomass characteristic, wherein the predictive model generator generates the predictive agricultural model to model a relationship between the biomass characteristic and the second agricultural characteristic.

16. The agricultural system of claim 1 , wherein the communication system receives, as the information map, a weed map that includes, as the first agricultural characteristic, a weed characteristic, wherein the predictive model generator generates the predictive agricultural model to model a relationship between the weed characteristic and the second agricultural characteristic.

17. A computer implemented method of generating a functional predictive agricultural map, comprising:
receiving an information map that indicates values of a first agricultural 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 second agricultural characteristic indicative of a characteristic of processed material corresponding to the geographic location;
generating a predictive agricultural model that models a relationship between the first agricultural characteristic and the second agricultural characteristic; and
controlling a predictive map generator to generate the functional predictive agricultural map of

Assignees

• Deere & Co

Inventors

• Vandike Nathan R
• Palla Bhanu Kiran Reddy
• Yanke Bradley K
• Anderson Noel W
• Bhavsar Mehul
• Tupe Hrishikesh

Classifications

• B60K35/25

  using haptic output · CPC title

• B60K35/10

  Input arrangements, i.e. from user to vehicle, associated with vehicle functions or specially adapted therefor · CPC title

• B60K35/80

  Arrangements for controlling instruments · CPC title

• B60K35/22

  Display screens · CPC title

• B60K35/60

  Instruments characterised by their location or relative disposition in or on vehicles (arrangements of lighting devices on dashboards B60Q3/10) · CPC title