Enhanced Weed Detection Using YOLOv9 on Open-Source Datasets for Precise Weed Management

GS24-316 (project overview)

Project Type: Graduate Student

Funds awarded in 2024: $21,465.00

Projected End Date: 08/31/2026

Grant Recipient: University of Georgia

Region: Southern

State: Georgia

Graduate Student:

Muneeb Elahi Malik

Major Professor:

Dr. Md Sultan Mahmud

University of Georgia

Description:

Presented research and published a conference article at the American Society of Agricultural and Biological Engineers Annual International Meeting (ASABE AIM) 2024 on enhanced weed detection using YOLOv9 and open-source datasets for precise weed management.

Types:

Conference/Presentation Material; Conference Proceeding

Authors:

Muneeb Elahi Malik, University of Georgia; Md Sultan Mahmud, University of Georgia

Target audience:

Researchers

URL:

https://elibrary.asabe.org/abstract.asp?aid=54930

Ordering info:

https://asabe.org/events/2024-annual-international-meeting
hq@asabe.org
American Society of Agricultural and Biological Engineers
2950 Niles Road
St. Joseph, MI 49085
https://asabe.org/events/2024-annual-international-meeting
+12694290300
Publication/product ID: 2400495

This product is associated with the project "Development of an Autonomous Laser-Based Robotic System for Sustainable Weed Management in Vidalia Onions"

Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and should not be construed to represent any official USDA or U.S. Government determination or policy.