Please wait...
About This Project
Allium leafminer (ALM) is an invasive fly that attacks Allium plants (onion, leek, chives, garlic) in the northeastern U.S, that can cause 100% crop loss. Our research goal is to identify potential monitoring tools for early ALM detection for better management of this pest. We will do this by investigating, how ALM responds to visual stimuli in the lab and how visual traps perform in the field. We hypothesize that ALM will respond most to patterned yellow traps installed above the canopy.
Browse Other Projects on Experiment
Related Projects
Leveraging genomic innovations for effective coral restoration in Kenya
The decline of natural coral populations has led to widespread restoration efforts which will see outplanted...
Enhancing Coral Reef Restoration Assessment Using Machine Learning in Gili Asahan and Kecinan Bay, Lombok, Indonesia
We hypothesize that near real-time monitoring using PTZ CCTV cameras and the YOLOv10 AI algorithm can effectively...
Conserving the endangered Indian wolf in Pakistan using genetic tools
The Indian wolf is endangered in Pakistan, however, where they are found and how many are left is poorly...