# US 12,108,697 B1 · Agricultural management system using a deep learning-base framework

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 12,108,697 B1
- Document ID: US12108697B1
- Status: Granted
- Kind: B1
- Application number: 18/220,035
- Filed: 2023-07-10
- Granted: 2024-10-08
- Earliest claimed: 2023-07-10
- Assignees: King Faisal University
- Applicants: King Faisal University
- Inventors: Abdul Rahaman Wahab Sait; Ashit Kumar Dutta; Shtwai Alsubai
- Web page: https://patentgrep.com/patent/US12108697B1

## CPC

- A01B 79/005: {Precision agriculture}
- A01B 79/02: combined with other agricultural processing, e.g. fertilising, planting
- G16Y 10/05: Agriculture
- G16Y 20/10: relating to the environment, e.g. temperature; relating to location
- G16Y 40/10: Detection; Monitoring
- G16Y 40/20: Analytics; Diagnosis
- A01B: SOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL (making or covering furrows or holes for sowing, planting or manuring A01C5/00; mowers convertible to soil working apparatus or capable of soil working A01D42/04; mowers combined with soil working implements A01D43/12; soil working for engineering purposes E01, E02, E21)
- G16Y: INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]

## Abstract

An agricultural management system includes an array of IoT sensors located across an area, and a set of wireless portal devices located across the area. The wireless portal devices are in communication with the IoT sensors. A drone, which includes an imaging device, is in communication with the wireless portal devices. A monitoring device gathers and analyzes information from the wireless portal devices using generative adversarial networks (GANs). The monitoring device communicates results of the analysis to an agricultural resource such as the drone to improve productivity.

## Claims

### Claim 1

A method for operating an agricultural managements system, the method comprising:
obtaining data from an array of Internet of Things (IoT) sensors of the agricultural managements system located across an area and at least one drone of the agricultural managements system having an imaging device and the at least one drone operating across the area;
communicating the data to a set of wireless portal devices of the agricultural managements system located across the area;
pre-processing images from the imaging device of the agricultural managements system using median and Laplacian filters;
annotating each of the images with location data;
analyzing the data from the wireless portal devices of the agricultural managements system using generative adversarial networks (GANS);
extracting features from the images with liquid neural networks;
generating feature maps from the extracted features;
forwarding the feature maps to generator and discriminator units of the agricultural managements system of the GANs;
storing the images in a training repository of the agricultural managements system for artificial intelligence-based image processing;
communicating results of the analysis of the data to an agricultural resource of the agricultural managements system; and
providing an operating instruction to said agricultural resource of said agricultural managements system based upon the communicated results of the analyzed data.

### Claim 2 (depends on 1)

The method as recited in claim 1, further comprising predicting outcomes of agricultural activities on the area and providing solutions to improve productivity.

### Claim 3 (depends on 1)

The method as recited in claim 1, further comprising identifying healthy and unhealthy crops.

### Claim 4 (depends on 1)

The method as recited in claim 1, further comprising spraying water and fertilizers with a sprayer located on the at least one drone.

### Claim 5 (depends on 1)

The method as recited in claim 1, further comprising providing a virtual tour of the area to a user through a head mounted device in communication with the imaging device on the at least one drone.

### Claim 6 (depends on 1)

The method as recited in claim 1, further comprising turning on or off irrigation to the area through a controller based on the results of the analysis of the data.