IP Library › Granted Patent US 12,130,595
Granted Patent B2
US 12,130,595 · App. 17/568,735 · Granted Oct 29, 2024

System and methods for automated and modular controlled-environment agriculture units

Inventor: Mark Edward Skinner (Tucson, AZ)
G05B13/0265A01G9/14A01G31/00A01G7/00
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Quick Facts
Patent No.
US 12,130,595
App. No.
17/568,735
Granted
Oct 29, 2024
Kind
B2
Abstract

Accordingly, the inventor has conceived and reduced to practice, a system and method of farming using a computer controlled micro-environment suitable for soil-based and soilless growing media that is sustainable and totally automated from seed to harvest. The system utilizes software, sensor networks, and computing hardware that monitors and alters the environment in the growing units and provides nutrients, water, lighting, air flow, and temperature control specific to the crop being cultivated in one or a combination of vertical assemblies of growing units with electronically controlled features. Each unit is enabled to independently seed, cultivate, and produce a mature crop and discharge the contents for further processing for the intended market.

Claims (22)

1. A system for automated and modular controlled-environment agriculture units, comprising:

a growing unit communicatively coupled to a network;

wherein the growing unit comprises a fixed lower assembly coupled to an upper assembly via a first motorized track;

the lower assembly comprising a second motorized track along the bottom and a hinged door along the one side of the lower assembly;

the upper assembly comprising one or more lights, an air vent, a water line, and one or more nutrient lines; and

the upper assembly further comprising one or more carbon dioxide (CO2), temperature, and humidity sensors;

a supply of a plurality of resources;

a plurality of automation equipment, wherein the plurality of automation equipment measures and delivers a supply of water, seeds, nutrients, and soil to the growing unit; and

a computer system comprising a memory and a processor operating on the network, wherein a plurality of programming instructions stored in the memory and operating on the processor, causes the computer system to:

receive an instruction to begin growing a specific crop;

identify the specifications needed to facilitate the specific crop, wherein the specifications are stored in a crop profile and comprise a spatial and nutrient profile of the specific crop;

identify a next available growing unit for the specific crop;

send a signal to the plurality of automation equipment to measure and deliver the proper amount of growing medium and water to the growing unit via the water line, and one or more nutrient lines;

monitor the environmental levels within the growing unit via the one or more sensors;

adjust the height of the upper assembly via the first motorized track based on the crop profile;

adjust the environment within the growing unit based on the crop profile and the monitored levels; and

activate the second motorized track and the hinged door of the lower assembly to expel the specific crop from the growing unit upon detection of crop maturity or based on the crop profile.

2. The system of claim 1 , wherein the growing unit expands horizontally and vertically to accommodate the growth of the specific crop.

3. The system of claim 1 , wherein the outer growing unit walls are hollow and comprise inner walls that keep the growing unit self-contained when expanded.

4. The system of claim 1 , wherein the computer system comprises machine learning models to determine the best growing environment for the specific crop within a growing unit.

5. The system of claim 4 , wherein the machine learning models update the crop profile.

6. The system of claim 4 , wherein the machine learning models use computer vision to monitor crop progression.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 6, 2022
From: SKINNER, MARK EDWARD
To: COMMOMTECH CORP
Reel/Frame 058580/0930 →
Continuity (1)
Related Publication 20230213894A1 · Jul 6, 2023