IP Library Granted Patent US 11,445,665
Granted Patent B2
US 11,445,665 · App. 16/937,515 · Granted Sep 20, 2022

Plant treatment based on morphological and physiological measurements

Inventors: Lee Kamp Redden (Palo Alto, CA); Matthew Stephen Colgan (San Francisco, CA)
Assignee: Blue River Technology Inc.
A01G7/00A01C21/007A01G7/06G01B11/24G01N33/0098G06V10/751G06V20/68
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Quick Facts
Patent No.
US 11,445,665
App. No.
16/937,515
Granted
Sep 20, 2022
Kind
B2
Abstract

A system for plant parameter detection, including: a plant morphology sensor having a first field of view and configured to record a morphology measurement of a plant portion and an ambient environment adjacent the plant, a plant physiology sensor having a second field of view and configured to record a plant physiology parameter measurement of a plant portion and an ambient environment adjacent the plant, wherein the second field of view overlaps with the first field of view; a support statically coupling the plant morphology sensor to the physiology sensor, and a computing system configured to: identify a plant set of pixels within the physiology measurement based on the morphology measurement; determine physiology values for each pixel of the plant set of pixels; and extract a growth parameter based on the physiology values.

Claims (76)

1. A method comprising:

capturing, by a sensor mounted to a vehicle traversing through a field, a first physiology measurement for a plant in the field at a first time, the first physiology measurement comprising a plurality of pixels representing an expressed phenotype of the plant before a plant treatment;

capturing a second physiology measurement for the plant in the field at a second time, the second physiology measurement comprising pixels representing the expressed phenotype of the plant after the plant treatment;

for each pixel of the second physiology measurement, determining an expression value quantifying a difference between the first physiology measurement and the second physiology measurement, the difference representing a change in the expressed phenotype induced by an effect of the plant treatment;

aggregating the expression value for each pixel of the second physiology measurement into a plant index, the plant index representing the effect of the plant treatment on the expressed phenotype;

identifying, using the plant index, the change in the expressed phenotype induced by the effect of the plant treatment.

2. The method of claim 1 , wherein the second physiology measurement is captured by the sensor mounted to the vehicle capturing the first physiology measurement.

3. The method of claim 1 , wherein:

the second physiology measurement is captured by a second sensor mounted to the vehicle, the second sensor having a second field of view different from a first field of view of the sensor capturing the first physiology measurement, wherein the second field of view captures the expressed phenotype of the plant after the change in the expressed phenotype has been induced by the effect of the plant treatment.

4. The method of claim 1 , further comprising:

determining a reaction of the plant to the plant treatment based on the change in the expressed phenotype induced by the effect of the plant treatment;

determining that the expressed phenotype is a susceptible phenotype based on the determined reaction of the plant, wherein susceptible phenotypes are phenotypes susceptible to the effect of the plant treatment; and

storing an association between the susceptible phenotype and the plant treatment.

5. The method of claim 1 , further comprising:

determining a reaction of the plant to the plant treatment based on the change in the expressed phenotype induced by the effect of the plant treatment;

determining that the expressed phenotype is a resistant phenotype based on the determined reaction of the plant, wherein resistant phenotypes are phenotypes resistant to the effect of the plant treatment; and

storing an association between the resistant phenotype and the plant treatment.

6. The method of claim 1 , further comprising:

determining a growth pattern of plants in the field based on the change in the expressed phenotype induced by the effect of the plant treatment; and

storing an association between the determined growth pattern and the plant treatment.

7. The method of claim 1 , further comprising:

determining one or more treatment parameters for applying a second plant treatment to plants in the field based on the change in the expressed phenotype induced by the effect of the plant treatment; and

applying the second plant treatment to a second plant in the field based on the one or more treatment parameters.

8. The method of claim 1 , further comprising:

determining a time difference between the first time and the second time; and

determining a change rate for the expressed phenotype, the change rate calculated using the change in the expressed phenotype induced by the effect of the plant treatment and the determined time difference.

9. The method of claim 1 , further comprising:

determining, based on the plant index, that the expressed phenotype is a desired phenotype eligible for successive breeding; and

storing, in computer memory, a record that the plant has the desired phenotype and is eligible for successive breeding.

10. The method of claim 1 , wherein aggregating the expression value for each pixel of the second physiology measurement into the plant index further comprises:

calibrating the expression value for each pixel of the second physiology measurement based on one or more of:

an ambient environment parameter; and

a morphological measurement of the plant; and

extracting the plant index from the calibrated expression values.

11. A plant treatment system comprising:

one or more nozzles mounted to a vehicle traversing through a field, the one or more nozzles configured to release a plant treatment onto one or more plants in the field;

one or more sensors mounted to the vehicle, the one or more sensors configured to capture a first physiology measurement for a plant in the field at a first time and a second physiology measurement of the plant at a second time, wherein the first physiology measurement comprises a plurality of pixels representing an expressed phenotype of the plant before a plant treatment and the second physiology measurement comprises a plurality of pixels representing the expressed phenotype of the plant after the plant treatment;

a computer communicatively coupled to the one or more sensors, the computer executing a set of instructions that, when executed, cause the plant treatment system to:

determine an expression value quantifying a difference between the first physiology measurement and the second physiology measurement, the difference representing a change in the expressed phenotype induced by an effect of the plant treatment;

aggregate the expression value for each pixel of the second physiology measurement into a plant index, the plant index representing the effect of the plant treatment;

identify, using the plant index, the change in the expressed phenotype induced by the effect of the plant treatment.

12. The plant treatment system of claim 11 , wherein the set of instructions further cause the computer to:

determine a reaction of the plant to the plant treatment based on the change in the expressed phenotype induced by the effect of the plant treatment;

determine that the expressed phenotype is a susceptible phenotype based on the determined reaction of the plant, wherein susceptible phenotypes are susceptible to the effect of the plant treatment; and

store an association between the susceptible phenotype and the plant treatment.

13. The plant treatment system of claim 11 , wherein the set of instructions further cause the computer to:

determine a reaction of the plant to the plant treatment based on the change in the expressed phenotype induced by the effect of the plant treatment;

determine that the expressed phenotype is a resistant phenotype based on the determined reaction of the plant, wherein resistant phenotypes are resistant to the effect of the plant treatment; and

store an association between the resistant phenotype and the plant treatment.

14. The plant treatment system of claim 11 , wherein the set of instructions further cause the computer to:

determine a growth pattern of plants in the field based on the change in the expressed phenotype induced by the effect of the plant treatment; and

store an association between the determined growth pattern and the plant treatment.

15. The plant treatment system of claim 11 , wherein the set of instructions further cause the computer to:

determine one or more treatment parameters for applying a second plant treatment to plants in the field based on the change in the expressed phenotype induced by the effect of the plant treatment; and

apply a second plant treatment to a second plant in the field based on the one or more treatment parameters.

16. The plant treatment system of claim 15 , wherein the one or more treatment parameters comprise one or more of:

a schedule for treating individual plants in the field;

a type of plant treatment to be applied to plants in the field; and

a volume of plant treatment to be applied to plants in the field.

17. The plant treatment system of claim 11 , wherein the set of instructions further cause the computer to:

determine a time difference between the first time and the second time; and

determine a change rate for the expressed phenotype, the change rate calculated using the change in the expressed phenotype induced by the effect of the plant treatment and the determined time difference.

18. The plant treatment system of claim 11 , wherein the set of instructions further cause the computer to:

determine, based on the plant index, that the expressed phenotype is a desired phenotype eligible for successive breeding;

store, in computer memory, a record that the plant has the desired phenotype and is eligible for successive breeding.

19. The plant treatment system of claim 11 , wherein instructions for aggregating the expression value for each pixel of the second physiology measurement into the plant index further cause the computer to:

calibrate the expression value for each pixel of the second physiology measurement based on one or more of:

an ambient environment parameter; and

a morphological measurement of the plant; and

extract the plant index from the calibrated expression values.

20. A non-transitory, computer-readable medium comprising computer-executable instructions that, when executed by a processor, cause the processor to:

capture, by a sensor mounted to a vehicle traversing through a field, a first physiology measurement for a plant in the field at a first time, the first physiology measurement comprising a plurality of pixels representing an expressed phenotype of the plant before a plant treatment;

capture a second physiology measurement for the plant in the field at a second time, the second physiology measurement comprising pixels representing the expressed phenotype of the plant after the plant treatment;

for each pixel of the second physiology measurement, determine an expression value quantifying a difference between the first physiology measurement and the second physiology measurement, the difference representing a change in the expressed phenotype induced by an effect of the plant treatment;

aggregate the expression value for each pixel of the second physiology measurement into a plant index, the plant index representing the effect of the plant treatment on the expressed phenotype;

identify, using the plant index, the change in the expressed phenotype induced by the effect of the plant treatment.

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 Aug 25, 2021
From: REDDEN, LEE KAMP; COLGAN, MATTHEW
To: BLUE RIVER TECHNOLOGY INC.
Reel/Frame 057288/0392 →
Continuity (8)
Continuation 16174232 · Oct 29, 2018
Continuation 15486654 · Apr 13, 2017
Continuation 14329161 · Jul 11, 2014
Provisional Application 62004722 · May 29, 2014
Provisional Application 61942740 · Feb 21, 2014
Provisional Application 61859091 · Jul 26, 2013
Provisional Application 61844967 · Jul 11, 2013
Related Publication 20200355829A1 · Nov 12, 2020
Cited By (1)
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