IP Library Granted Patent US 12,245,555
Granted Patent B2
US 12,245,555 · App. 18/406,321 · Granted Mar 11, 2025

System and method for plant indexing in a hydroponic farming environment and a hydroponic farming environment

Inventors: Travis M. Joyner (Hamilton, MT); Ryan Sweeney (Hamilton, MT); Jeff Leggott (Hamilton, MT)
Assignee: Local Bounti Operating Company LLC
A01G31/042A01C1/02A01C21/00A01G9/14
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Quick Facts
Patent No.
US 12,245,555
App. No.
18/406,321
Granted
Mar 11, 2025
Kind
B2
Abstract

A farming method may be shown and described. In an exemplary embodiment, plants may begin in a germination phase. Next, plants are brought to a nursery for a period of time before optionally being transplanted to one or more subsequent nurseries. Finally, plants are transplanted to a greenhouse where they may grow until they are ready for harvest. In an exemplary embodiment, the nursery phases may be vertical farms while the greenhouse phase may be a traditional, hydroponic, or other type of farm which may receive sunlight. AI may be implemented to optimize environmental conditions and robotics may be used to harvest the plants. Plants may be indexed to efficiently expedite plant growth and optimize the time and plant density/spacing in each phase.

Claims (50)

1. A method for farming plants, comprising:

planting a plurality of seeds or seedlings on one or more plant trays having individual plant sites;

beginning a germination phase;

after the germination phase, identifying a plurality of plants germinated from the plurality of seeds or seedlings:

transporting the plurality of plants to a nursery in one or more nursery phases;

transplanting the plurality of plants to a greenhouse after the one or more nursery phases, beginning at least one greenhouse phase;

harvesting the plurality of plants from the greenhouse;

monitoring, by at least one sensor or monitoring device, a plurality of plant parameters;

adjusting, by a control unit, a plurality of environmental parameters, wherein machine learning is used to optimize and control the plurality of environmental parameters;

identifying an optimized plant density based on an identified growth of the plurality of plants from the plurality of plant parameters identified in the one or more nursery phases; and

arranging the plurality of plants according to the optimized plant density in the greenhouse to minimize an area between the plurality of plants, wherein the control unit is configured to:

adjust a plurality of growth parameters for each plant of the plurality of plants, and

adjust the environmental parameters differently according to the growth parameters and/or a plurality of requirements of each of the germination phase, the one or more nursery phases, and the at least one greenhouse phase depending on the identified growth for each plant of the plurality of plants.

2. The method for farming plants of claim 1 , wherein the environmental parameters comprise at least one of plant density, plant air temperature, relative humidity, light intensity, CO2 content, air velocity, air circulation, water temperature, electrical conductivity, pH level, dissolved oxygen level, nutrients, water level of the plurality of plants, a duration of time spent in each of the one or more nursery phases, a duration of time spent in the at least one greenhouse phase, and a duration of time spent in the germination phase.

3. The method for farming plants of claim 1 , wherein the control unit is connected to the at least one sensor or monitoring device and the method further comprises:

measuring a plurality of environmental parameters, including one or more of: water temperature, electrical conductivity, pH, dissolved oxygen, air temperature, relative humidity, CO2 content, light intensity, and air velocity.

4. The method for farming plants of claim 3 , wherein the at least one sensor or monitoring device further comprises one or more of a camera, a light detection and ranging (LIDAR) system, a thermal imaging sensor, a thermometer, a biosensor, a biochemical sensor, and a metal-oxide semiconductor (MOS) sensor.

5. The method for farming plants of claim 1 , wherein the control unit is connected to an external system for providing a plurality of environmental parameters, and the control unit adjusts the plurality of plant parameters based on the plurality of environmental parameters.

6. The method for farming plants of claim 1 , further comprising:

receiving, by the control unit, historical plant information relating to one or more of the plurality of plants: and

adjusting, by the control unit, the plurality of plant parameters based on the historical plant information.

7. The method for farming plants of claim 6 , further comprising:

storing plant growth information relating to each farmed plant to the historical plant information after harvesting the plants.

8. The method for farming plants of claim 1 , wherein the control unit implements the machine learning based on an algorithmic driven regression formula to optimize plant growth.

9. The method of farming plants of claim 1 , further comprising:

harvesting a whole crop into a cup, such that the whole crop is living in a medium within the dirt cup.

10. The method of farming plants of claim 1 , further comprising:

sending, by the control unit, instructions to a robotic device to individually arrange each plant into the next nursery or into the greenhouse.

11. The method of farming plants of claim 1 , wherein each nursery phase further comprises:

transplanting the plurality of plants to another plant tray.

12. The method of farming plants of claim 1 , wherein the at least one greenhouse phase uses at least one of hydroponic, aquaponics, horticulture, and agronomy growing methods.

13. The method of farming plants of claim 1 , wherein the one or more nursery phases use at least one of hydroponic, aquaponics, horticulture, and agronomy growing methods.

14. A system for farming plants, comprising:

one or more germination stations configured to receive a plurality of seeds or seedlings on one or more plant trays in a germination phase, wherein the plurality of seeds or seedlings grows into a plurality of plants during the germination phase;

one or more nurseries, wherein each of the one or more nurseries is configured to have a predetermined plant density;

a greenhouse, wherein the plurality of plants is arranged according to an optimized plant density identified from monitoring the plurality of plants within the one or more nurseries;

at least one sensor or monitoring device configured to identify a plurality of plant parameters including at least a plant size; and

a control unit configured to:

receive the plurality of plant parameters from the at least one sensor or monitoring device throughout each of the germination phase, a nursery phase, and at least one greenhouse phase,

control one or more systems relating to the plurality of plants, and

adjust a plurality of environmental parameters, wherein machine learning is used to optimize and control the plurality of environmental parameters, and the predetermined plant density of each nursery of the one or more nurseries and the optimized plant density of the greenhouse is determined based on the plant size identified by the at least one sensor or monitoring device during a previous phase and is determined to minimize an area between the plurality of plants.

15. The system for farming plants of claim 14 , further comprising at least one of:

a germination robot configured to insert plants or plant seeds into one or more germination trays;

a transplanting robot configured to move plants from the one or more germination trays into the one or more nurseries; and

a transportation robot for moving the plants from the one or more nurseries into the greenhouse, wherein the germination, transplanting, and transportation robots are controlled by the control unit based on the plurality of plant parameters.

16. The system for farming plants of claim 15 , wherein the one or more nurseries and the greenhouse comprise a plurality of plant vessels.

17. The system for farming plants of claim 14 , wherein the plurality of plant parameters comprise plant density, weight, water content, nutrient content, and temperature.

18. The system for farming plants of claim 14 , wherein the control unit is further configured to adjust at least one of plant density, a plurality of nutrients, an amount of water given to the plurality of plants, and a light intensity based on the plurality of plant parameters and a plant type.

19. The system for farming plants of claim 14 , wherein the control unit is further configured to sense plant growth and implement algorithmic regression analysis to optimize a time spent in each of the nursery phase and the at least one greenhouse phase.

20. The system for farming plants of claim 14 , wherein the plurality of plants further comprises a plurality of plant types, and the control unit is further configured to move each plant type of the plurality of plant types after a period of time specific to said plant type.

Assignments (5)
RELEASE OF SECURITY INTEREST Recorded Mar 31, 2025
From: CARGILL FINANCIAL SERVICES INTERNATIONAL, INC.
To: LOCAL BOUNTI OPERATING COMPANY LLC; LOCAL BOUNTI CORPORATION
Reel/Frame 070685/0028 →
ASSIGNMENT-CHANGE OF ADDRESS Recorded Jan 16, 2025
From: LOCAL BOUNTI OPERATING COMPANY LLC
To: LOCAL BOUNTI OPERATING COMPANY LLC
Reel/Frame 069928/0847 →
SECURITY INTEREST Recorded Sep 10, 2024
From: LOCAL BOUNTI OPERATING COMPANY LLC; LOCAL BOUNTI CORPORATION
To: CARGILL FINANCIAL SERVICES INTERNATIONAL, INC.
Reel/Frame 068543/0245 →
SECURITY INTEREST Recorded Sep 10, 2024
From: LOCAL BOUNTI OPERATING COMPANY LLC; LOCAL BOUNTI CORPORATION
To: CARGILL FINANCIAL SERVICES INTERNATIONAL, INC.
Reel/Frame 068543/0483 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 8, 2024
From: JOYNER, TRAVIS M.; SWEENEY, RYAN; LEGGOTT, JEFF
To: LOCAL BOUNTI OPERATING COMPANY, LLC
Reel/Frame 066046/0690 →
Continuity (3)
Continuation 17341718 · Jun 8, 2021
Provisional Application 63062609 · Aug 7, 2020
Related Publication 20240138327A1 · May 2, 2024
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Cited By (1)
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