Invasive noxious weeds pose a significant economic and environmental threat to Victoria, Australia. This is especially the case in Hume City, where environmental and agricultural productivity is important. Our project aided Hume City Council in developing an artificial intelligence (AI) and drone-based protocol to automatically detect and map weeds to help monitor the spread of weeds over time. The data gathered from the analyses completed as a part of this study will allow Hume to enforce and adapt their weed control strategies, helping them combat noxious weeds throughout the municipality. Through social context assessment, analysis of existing solutions, and comprehensive experimentation with weed mapping conditions, we developed a protocol and a base set of AI tools to form the backbone of the Council’s weed monitoring program.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Gilmore, Mia
• Bowen, Jake
• Huang, Kimberly
• Voleti, Vivek

Subject

• Sustainability
• Environment

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-022924-041441
• 117996

Mot-clé

• Weeds
• Drone
• Machine Learning
• Mapping
• Artificial Intelligence

Advisor

• McCauley, Stephen M.
• Saberi, Sara

Year

• 2024

Center

• Melbourne, Australia Project Center - IQP

Sponsor

• Hume City Council

UN Sustainable Development Goals

• 13 - Climate Action

Date created

• 2024-02-29

Resource type

• Interactive Qualifying Project

Source

• E-project-022924-041441

Rights statement

• In Copyright