IP Library › Granted Patent US 12,745,688
Granted Patent B2
US 12,745,688 · App. 17/840,856 · Granted Sep 29, 2026

Dynamic generation of experimental treatment plans

Inventors: James Patrick Ostrowski (Mountain View, CA); Benjamin Ray Chostner (San Francisco, CA); Kent Michael Anderson (Signal Mountain, TN); Erik Ehn (Sunnyvale, CA); William Louis Patzoldt (Gilroy, CA)
Assignee: Deere & Company
A01B76/00A01M7/0089B05B13/005B05B13/0278G06Q50/02
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,745,688
App. No.
17/840,856
Granted
Sep 29, 2026
Kind
B2
Abstract

A farming machine is configured to autonomously operate in a field to accomplish a farming objective. While doing so the farming machine can dynamically modify treatment plans and/or generate experimental treatment plans. Dynamically modifying treatment plans includes modifying, delaying, accelerating, adding, and/or removing farming actions in a treatment plan. Generating an experimental treatment plan includes intentionally modifying a treatment plan to induce a variance in a result, measuring the result, and determining whether the result from the experimental treatment plan is better than the unmodified treatment plan. The farming machine is also configured to generate user interactable feedback, and receive user generated instruction, to dynamically modify treatment plans and/or generate experimental treatment plans.

Claims (48)

1 . An autonomous farming machine configured for generating an experimental treatment plan to perform in a field having a plurality of field portions, the autonomous farming machine comprising:

a sensor array configured to obtain measurements of treatment plans executed in the field;

a treatment array configured to perform a plant treatment plan in the field;

one or more processors; and

a non-transitory computer readable storage medium storing computer program instructions for generating the experimental treatment plan, the computer program instructions when executed by the one or more processors causing the autonomous farming machine to:

perform, using the treatment array, prescribed treatments of the plant treatment plan comprising a sequence of prescribed treatments as the autonomous farming machine moves through the field;

generate the experimental treatment plan comprising a sequence of experimental treatments for the autonomous farming machine to apply to a subset of the plurality of field portions in the field, and wherein generating the experimental treatment plan comprises:

determining the sequence of experimental treatments for the experimental treatment plan, wherein:

the sequence of experimental treatments configured to induce a variance;

the variance represents a deliberately induced agronomic difference between plants treated by the plant treatment plan and plants treated by the experimental treatment plan, and

the variance is measurable by the sensor array, and

generating the experimental treatment plan comprising the sequence of experimental treatments, wherein at least one experimental treatment in the experimental treatment plan is different from prescribed treatments of the plant treatment plan; and

performing, using the treatment array, the experimental treatment plan for the subset of field portions and the plant treatment plan for a remainder of field portions of the plurality of field portions.

2 . The autonomous farming machine of claim 1 , wherein the computer program instructions, when executed by the one or more processors, cause the autonomous farming machine to:

modify the plant treatment plan for a subsequent season based on the experimental treatment plan;

modify the plant treatment plan such that prescribed treatments are not applied to the subset of field portions in the subsequent season; and

modify the plant treatment plan such that one or more of the prescribed treatments is replaced with one or more of the experimental treatments of the experimental treatment plan for the subsequent season.

3 . The autonomous farming machine of claim 1 , wherein the computer program instructions, when executed by the one or more processors, cause the autonomous farming machine to:

generate a second experimental treatment plan comprising a second sequence of second experimental treatments for the autonomous farming machine to apply to a second subset of the plurality of field portions in the field, wherein:

at least one second experimental treatment in the second experimental treatment plan is different than prescribed treatments of the plant treatment plan and experimental treatments in the experimental treatment plan,

the second experimental treatment plan is configured to induce a second variance between plants treated by the plant treatment plan and plants treated with the second experimental treatment plan,

the variance induced by the experimental treatment plan is different from the second variance induced by the second experimental treatment plan, and

the second subset of the plurality of field portions is different than the subset of the plurality of field portions.

4 . The autonomous farming machine of claim 1 , wherein the computer program instructions, when executed by the one or more processors, cause the autonomous farming machine to:

responsive to performing, using the treatment array, the experimental treatment plan for the subset of field portions and the prescribed treatment plan for the remainder of field portions:

obtain, using the sensor array, real-time measurements describing variance resulting from the experimental treatment plan in the subset of field portions;

obtain, using the sensor array, real-time measurements describing variance resulting from the plant treatment plan in the remainder of field portions; and

determine an induced variance caused by the experimental treatment plan by comparing real-time measurements indicating plant variance for the experimental treatment plan and the plant treatment plan.

5 . The autonomous farming machine of claim 1 , wherein the experimental treatment plan comprises at least one additional experimental treatment configured to be applied during a subsequent pass of the autonomous farming machine, and

the computer program instructions, when executed by the one or more processors, cause the autonomous farming machine to perform the at least one additional experimental treatment on the subsequent pass of the farming machine through the field.

6 . The autonomous farming machine of claim 1 , wherein the computer program instructions, when executed by the one or more processors, cause the autonomous farming machine to:

transmit, to a manager of the autonomous farming machine, the experimental treatment plan;

receive, from the manager the autonomous farming machine, a verification to proceed with the experimental treatment plan; and

wherein the experimental treatment plan is applied to the subset of field portions responsive to receiving the verification.

7 . The autonomous farming machine of claim 1 , wherein at least one experimental treatment of the experimental treatment plan is one or more of the following:

a different amount of treatment than a prescribed treatment in the plant treatment plan,

applied at a different location than a prescribed treatment in the plant treatment plan,

a different treatment type of treatment than a prescribed treatment of the plant treatment plan,

employs a different machine configuration of the autonomous farming machine than a prescribed treatment of the plant treatment plan.

8 . A non-transitory computer readable storage medium storing computer program instructions for generating an experimental treatment plan, the computer program instructions when executed by one or more processors causing an autonomous farming machine to:

perform, using a treatment array of the autonomous farming machine, prescribed treatments of a plant treatment plan comprising a sequence of prescribed treatments as the autonomous farming machine moves through a field comprising a plurality of field portions;

generate, the using the one or more processors of the farming machine, the experimental treatment plan comprising a sequence of experimental treatments for the autonomous farming machine to apply to a subset of the plurality of field portions in the field, and wherein generating the experimental treatment plan comprises:

determining the sequence of experimental treatments for the experimental treatment plan, wherein:

the sequence of experimental treatments configured to induce a variance;

the variance represents a deliberately induced agronomic difference between plants treated by the plant treatment plan and plants treated by the experimental treatment plan, and

the variance is measurable by a sensor array, and

generating the experimental treatment plan comprising the sequence of experimental treatments, wherein at least one experimental treatment in the experimental treatment plan is different from prescribed treatments of the plant treatment plan;

perform, using the treatment array, the experimental treatment plan for the subset of field portions and the plant treatment plan for a remainder of field portions of the plurality of field portions.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 11, 2024
From: BLUE RIVER TECHNOLOGY INC.
To: DEERE & COMPANY
Reel/Frame 069164/0195 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 29, 2022
From: OSTROWSKI, JAMES PATRICK; CHOSTNER, BENJAMIN RAY; ANDERSON, KENT MICHAEL; EHN, ERIK; PATZOLDT, WILLIAM LOUIS
To: BLUE RIVER TECHNOLOGY INC.
Reel/Frame 061261/0818 →
Continuity (1)
Related Publication 20230403988A1 · Dec 21, 2023
References Cited (23)
US 7263210B2 · Kummel · 2007 [cited by examiner]
US 10713484B2 · Polzounov · 2020 [cited by examiner]
US 10957036B2 · Stueve · 2021 [cited by examiner]
US 11998000B2 · Kwak · 2024 [cited by examiner]
US 20190057461A1 · Ruff et al. · 2019 [cited by applicant]
US 20210243938A1 · Blank et al. · 2021 [cited by applicant]
US 20220067121A1 · Huber et al. · 2022 [cited by applicant]
US 20220117214A1 · Garner et al. · 2022 [cited by applicant]
US 20220118555A1 · Sibley et al. · 2022 [cited by applicant]
US 20220167551A1 · Anderson et al. · 2022 [cited by applicant]
US 20220317691A1 · Eskandari · 2022 [cited by examiner]
US 20220338421A1 · Call · 2022 [cited by examiner]
US 20230054908A1 · Stellpflug et al. · 2023 [cited by applicant]
US 20230320259A1 · Vandike et al. · 2023 [cited by applicant]
US 20240095622A1 · Hoffmann · 2024 [cited by examiner]
US 20240257275A1 · Hoffmann · 2024 [cited by examiner]
US 20250068788A1 · Hanebrink · 2025 [cited by examiner]
EP 4186344A1 · 2023 [cited by applicant]
WO WO2020201046A1 · 2020 [cited by applicant]
WO WO2022152787A1 · 2022 [cited by applicant]
WO WO2022243380A1 · 2022 [cited by applicant]
European Patent Office, Extended European Search Report and Written Opinion, European Patent Application No. 23167317.9, Nov. 15, 2023, 9 pages. [cited by applicant]
Extended European Search Report and Written Opinion issued in European Patent Application No. 25214396.1 dated Mar. 2, 2026, in 08 pages. [cited by applicant]