IP Library Granted Patent US 12,376,511
Granted Patent B2
US 12,376,511 · App. 17/581,297 · Granted Aug 5, 2025

Controlling an agricultural vehicle based on soil damage score

Inventor: Lee A. Johnson (Polk City, IA)
Assignee: Deere & Company
A01B79/005A01B79/02G01N33/24G01N33/245
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Quick Facts
Patent No.
US 12,376,511
App. No.
17/581,297
Granted
Aug 5, 2025
Kind
B2
Abstract

A soil measure, such as a soil cone index, and a vehicle index indicating the amount of force the vehicle exerts on the ground as it travels over the ground, are obtained and compared to identify a soil damage score. The soil damage score can be mapped over a field and an agricultural vehicle can be controlled based upon the soil damage score.

Claims (58)

1. A computer implemented method, comprising:

obtaining a soil measure for soil indicative of an ability of the soil to bear a load;

obtaining a vehicle index indicative of a force imparted by an agricultural vehicle on the soil, as a load corresponding to the agricultural vehicle varies as the agricultural vehicle travels over the field;

comparing the soil measure to the vehicle index to obtain a comparison result;

identifying a soil damage value based on the comparison result; and

generating a control signal to control the agricultural vehicle based on the soil damage value.

2. The computer implemented method of claim 1 wherein obtaining a soil measure comprises:

obtaining a plurality of different soil measure values, each soil measure value corresponding to a different geographic location across a field.

3. The computer implemented method of claim 2 wherein obtaining a vehicle index comprises:

identifying a plurality of different vehicle index values, each vehicle index value corresponding to a different geographic location across the field.

4. The computer implemented method of claim 3 wherein comparing the soil measure to the vehicle index comprises:

comparing each different soil measure value corresponding to a geographic location to a different vehicle index value corresponding to the geographic location.

5. The computer implemented method of claim 4 wherein identifying a plurality of vehicle index values comprises:

identifying the plurality of different vehicle index values accounting for the variation in the load as the agricultural vehicle travels along a travel path.

6. The computer implemented method of claim 5 wherein identifying the plurality of different vehicle index comprises:

identifying a set of vehicle characteristics corresponding to the agricultural vehicle; and

identifying the plurality of different vehicle index values accounting for the variation in the load as the agricultural vehicle travels along a travel path and based on the vehicle characteristics of the agricultural vehicle.

7. The computer implemented method of claim 2 wherein obtaining a plurality of different soil measure values comprises:

obtaining a map of each of the soil measure values mapped to the different corresponding geographic location.

8. The computer implemented method of claim 2 wherein obtaining a plurality of different soil measure values comprises:

obtaining, as the plurality of different soil measure values, a plurality of different cone index scores.

9. The computer implemented method of claim 2 wherein the agricultural vehicle is a planting machine and wherein obtaining a plurality of different soil measure values comprises:

detecting down force and down force margin on the planting machine; and

obtaining, as the plurality of different soil measure values, a plurality of proxy soil measure values based on the detected down force and down force margin.

10. The computer implemented method of claim 2 wherein obtaining a plurality of different soil measure values comprises:

obtaining a set of field characteristics corresponding to the field; and

predicting the plurality of different soil measure values based on the set of field characteristics.

11. The computer implemented method of claim 10 wherein obtaining a set of field characteristics comprises:

obtaining terrain data indicative of terrain along a travel path traveled by the agricultural vehicle across the field;

obtaining soil type data indicative of a soil type of the soil along the travel path; and

obtaining soil moisture data indicative of soil moisture along the travel path.

12. An agricultural system, comprising:

at least one processor; and

a data store that stores computer executable instructions which, when executed by the at least one processor cause the at least one processor to perform steps comprising:

obtaining a soil measure for soil indicative of an ability of the soil to bear a load;

obtaining a vehicle index indicative of a force imparted by an agricultural vehicle on the soil, as a load corresponding to the agricultural vehicle varies as the agricultural vehicle travels over the field;

comparing the soil measure to the vehicle index to obtain a comparison result;

identifying a soil damage value based on the comparison result; and

generating a control signal to control the agricultural vehicle based on the soil damage value.

13. The agricultural system of claim 12 wherein obtaining a soil measure comprises:

obtaining a plurality of different soil measure values, each soil measure value corresponding to a different geographic location across a field.

14. The agricultural system of claim 13 wherein obtaining a vehicle index comprises:

identifying a plurality of different vehicle index values, each vehicle index value corresponding to a different geographic location across the field.

15. The agricultural system of claim 14 wherein comparing the soil measure to the vehicle index comprises:

comparing each different soil measure value corresponding to a geographic location to a different vehicle index value corresponding to the geographic location.

16. The agricultural system of claim 15 wherein identifying a plurality of vehicle index values comprises:

identifying the plurality of different vehicle index values accounting for the variation in the load as the agricultural vehicle travels along a travel path.

17. The agricultural system of claim 13 wherein obtaining a plurality of different soil measure values comprises:

obtaining a map of each of the soil measure values mapped to the different corresponding geographic location.

18. The agricultural system of claim 13 wherein obtaining a plurality of different soil measure values comprises:

obtaining a set of field characteristics corresponding to the field; and

predicting the plurality of different soil measure values based on the set of field characteristics.

19. A computing system, comprising:

a soil measure identification system obtaining a soil measure for soil indicative of an ability of the soil to bear a load;

a vehicle index identification system obtaining a vehicle index indicative of a force imparted by an agricultural vehicle on the soil, as a load corresponding to the agricultural vehicle varies as the agricultural vehicle travels over the field;

a soil damage score generation system configured to compare the soil measure to the vehicle index to obtain a comparison result and identify a soil damage value based on the comparison result; and

a control signal generator generating a control signal to control the agricultural vehicle based on the soil damage value.

20. The computing system of claim 19 wherein the soil measure identification system is configured to obtain a plurality of different soil measure values, each soil measure value corresponding to a different geographic location across a field, wherein the vehicle index identification system is configured to identify a plurality of different vehicle index values, each vehicle index value corresponding to a different geographic location across the field, and wherein the soil damage score generation system is configured to compare each different soil measure value corresponding to a geographic location to a different vehicle index value corresponding to the geographic location.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 21, 2022
From: JOHNSON, LEE A.
To: DEERE & COMPANY
Reel/Frame 058812/0618 →
Continuity (1)
Related Publication 20230232731A1 · Jul 27, 2023
References Cited (33)
US 6029106A · Hale · 2000 [cited by applicant]
US 6041582A · Tiede et al. · 2000 [cited by applicant]
US 10315655B2 · Blank et al. · 2019 [cited by applicant]
US 10675924B2 · Milburn, Jr. et al. · 2020 [cited by applicant]
US 10918008B2 · Shearer · 2021 [cited by examiner]
US 20070068238A1 · Wendte · 2007 [cited by applicant]
US 20120323452A1 · Green · 2012 [cited by examiner]
US 20130046418A1 · Anderson · 2013 [cited by applicant]
US 20170066325A1 · Brownell · 2017 [cited by applicant]
US 20180232674A1 · Bilde · 2018 [cited by examiner]
US 20200113123A1 · Shearer · 2020 [cited by examiner]
US 20200154626A1 · Schoeny · 2020 [cited by examiner]
US 20200254829A1 · Schott et al. · 2020 [cited by applicant]
US 20210008934A1 · Buhrke · 2021 [cited by applicant]
US 20210173399A1 · Richard · 2021 [cited by examiner]
US 20210276222A1 · Datema · 2021 [cited by applicant]
US 20210404812A1 · Yuasa · 2021 [cited by examiner]
DE 102009025494A1 · 2011 [cited by applicant]
EP 1493599A2 · 2005 [cited by applicant]
EP 3216628A1 · 2017 [cited by applicant]
EP 2508057B1 · 2018 [cited by applicant]
EP 3415345A1 · 2018 [cited by applicant]
EP 2744322B1 · 2019 [cited by applicant]
EP 3763551A1 · 2021 [cited by applicant]
WO WO03023396A2 · 2003 [cited by applicant]
WO WO2013025890A1 · 2013 [cited by applicant]
WO WO2013112929A2 · 2013 [cited by applicant]
U.S. Appl. No. 17/581,272 Office Action dated Dec. 18, 2023, 8 pages. [cited by applicant]
U.S. Appl. No. 17/581,297 Application and Drawings filed Jan. 21, 2022, 47 pages. [cited by applicant]
U.S. Appl. No. 17/715,407 Application and Drawings filed Apr. 7, 2022, 81 pages. [cited by applicant]
Extended European Search Report and Written Opinion issued in European Patent Application No. 23163772.9, daled Aug. 17, 2023, 7 pages. [cited by applicant]
Extended European Search Report and Written Opinion issued in European Patent Application No. 23152290.5, dated Jun. 22, 2023, in 8 pages. [cited by applicant]
Extended European Search Report and Written Opinion issued in European Patent Application No. 23152289.7, dated Jun. 21, 2023, in 7 pages. [cited by applicant]