IP Library Granted Patent US 12,490,733
Granted Patent B2
US 12,490,733 · App. 18/626,856 · Granted Dec 9, 2025

System and method for an agricultural machine

Inventors: Kevin M. Smith (Narvon, PA); Jeremy A. Amundson (Willmar, MN); Aryan Singh Dalal (Manhattan, KS); Ajay Sharda (Manhattan, KS)
Assignees: CNH Industrial America LLC; Kansas State University Research Foundation
A01M7/0089A01M7/0075G06T7/70G06V20/56G06T2207/20081G06T2207/20132G06T2207/30188G06T2207/30252G06V2201/07
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Quick Facts
Patent No.
US 12,490,733
App. No.
18/626,856
Granted
Dec 9, 2025
Kind
B2
Abstract

An agricultural system can include a boom assembly including a frame section and a boom section pivotably coupled to the frame section. One or more nozzle assemblies may be operably coupled with the boom assembly. A boom movement sensor may be configured to generate image data and a machine sensor may be configured to generate machine data. A computing system may be communicatively coupled to the sensor. The computing system may be configured to determine an estimated boom position of the boom section based at least in part on the machine data, determine a position of a target within the image data based at least in part on the estimated boom position of the boom section, modify the image data based on the position of the target to create modified image data, and determine a magnitude of deflection based on the modified image data.

Claims (54)

1 . An agricultural system comprising:

a boom assembly including a frame section and a boom section pivotably coupled to the frame section;

one or more nozzle assemblies operably coupled with the boom assembly;

a boom movement sensor having a field of view directed along a portion of a length of the boom section and configured to generate image data;

a machine sensor configured to generate machine data; and

a computing system communicatively coupled to the boom movement sensor and the machine sensor, the computing system being configured to:

determine an estimated boom position of the boom section based at least in part on the machine data;

determine a position of a target within the image data based at least in part on the estimated boom position of the boom section;

modify the image data based on the position of the target to create modified image data; and

determine a magnitude of deflection based on the modified image data.

2 . The agricultural system of claim 1 , wherein the computing system is further configured to:

control an operation associated with an agricultural machine operably coupled with the boom assembly based at least in part on the magnitude of the deflection of the boom section.

3 . The agricultural system of claim 2 , wherein the computing system is further configured to:

control the operation associated with the agricultural machine operably coupled with the boom assembly when the magnitude of the deflection of the boom section is greater than a threshold deflection.

4 . The agricultural system of claim 1 , wherein the computing system is further configured to:

determine a presence of the target within the modified image data; and

discard the modified image data when the target is not present in the modified image data.

5 . The agricultural system of claim 1 , wherein the computing system is further configured to:

determine a presence of the target within the modified image data; and

alter the modified image data when the target is not present in the modified image data.

6 . The agricultural system of claim 1 , wherein the computing system is further configured to:

determine an error difference between the estimated boom position and the magnitude of deflection based on the modified image data.

7 . The agricultural system of claim 1 , wherein modifying the image data based on the position of the target to create modified image data comprises cropping the image data based at least in part on the estimated boom position of the target within the image data.

8 . The agricultural system of claim 7 , wherein at least fifty percent of the image data is cropped from the modified image data.

9 . The agricultural system of claim 1 , wherein the boom movement sensor is positioned on the frame section.

10 . An agricultural method for determining a magnitude of deflection of a boom assembly, the agricultural method comprising:

determining, with a computing system, an estimated boom position of a boom section;

receiving, with the computing system, image data generated by a boom movement sensor having a field of view directed along a portion of a length of a boom section;

determining, with the computing system, a position of a target within the image data based at least in part on the estimated boom position of the boom section;

modifying, with the computing system, the image data based on the position of the target to create modified image data; and

determining, with the computing system, a magnitude of deflection based on the modified image data.

11 . The agricultural method of claim 10 , further comprising:

receiving, with the computing system, machine data generated by a machine sensor, wherein the estimated boom position of the boom section is based at least in part on the machine data.

12 . The agricultural method of claim 11 , further comprising:

controlling, with the computing system, an operation associated with an agricultural machine based at least in part on the magnitude of the deflection of the boom section.

13 . The agricultural method of claim 11 , wherein modifying, with the computing system, the image data based on the position of the target to create modified image data further comprises cropping the image data based at least in part on the estimated boom position of the target within the image data.

14 . The agricultural method of claim 10 , wherein the estimated boom position of the boom section is determined through one or more machine-learned models.

15 . The agricultural method of claim 14 , further comprising:

determining, with the computing system, an error difference between the estimated boom position and the magnitude of deflection based on the modified image data.

16 . The agricultural method of claim 15 , further comprising:

updating the one or more machine-learned models when the error difference is equal to or exceeds an error threshold.

17 . An agricultural system comprising:

a boom assembly including a frame section and a boom section pivotably coupled to the frame section; and

a computing system configured to:

receive historical data of a position of the boom assembly from a machine database; and

determine a magnitude of deflection of the boom assembly based in part on the historical data.

18 . The agricultural system of claim 17 , further comprising:

a boom movement sensor having a field of view directed along a portion of a length of the boom section and configured to generate image data,

wherein the computing system is communicatively coupled to the boom movement sensor, and wherein the computing system is configured to determine a position of a target within the image data, modify the image data based on the position of the target to create modified image data, and determine the magnitude of deflection based in part on the modified image data.

19 . The agricultural system of claim 17 , further comprising:

a machine sensor configured to generate machine data,

wherein the computing system is further configured to determine an estimated boom position of the boom section based at least in part on the machine data.

20 . The agricultural system of claim 17 , wherein the computing system is further configured to:

control an operation associated with an agricultural machine based at least in part on the magnitude of the deflection of the boom section.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 11, 2024
From: SMITH, KEVIN M.; AMUNDSON, JEREMY A.
To: CNH INDUSTRIAL AMERICA LLC
Reel/Frame 067076/0173 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 11, 2024
From: DALAL, ARYAN SINGH; SHARDA, AJAY
To: KANSAS STATE UNIVERSITY RESEARCH FOUNDATION
Reel/Frame 067076/0270 →
Continuity (1)
Related Publication 20250311713A1 · Oct 9, 2025
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