AI-LyD: An AI-Driven System Approach to Combatting Spotted Lanternfly Proliferation Through Behavioral Analysis
Kevin Zhang

TL;DR
AI-LyD is a new system that uses AI and insect behavior to control spotted lanternfly populations with low cost and high effectiveness.
Contribution
AI-LyD integrates AI, insect behavior, and low-cost traps to create a scalable and sustainable pest management system for spotted lanternflies.
Findings
AI-LyD reduced spotted lanternfly populations by 91% in field trials.
The Aquabex water-barrier trap costs less than 50 cents per unit and traps 85% of nymphs.
Incorporating SLF behavior into AI models improved detection accuracy to 96% in drone imagery.
Abstract
The spotted lanternfly (SLF, Lycorma delicatula), is an invasive insect causing serious damage to agricultural industries and natural ecosystems. Current control methods either harm beneficial pollinators and pollute the environment, are expensive to maintain, or are inefficient at larger scales. Many applicational technologies (ex. artificial intelligence) used in combatting SLF also fail to utilize SLF’s unique behaviors. This study introduces AI-LyD, a novel integrated pest management (IPM) framework that combines insect behavior, artificial intelligence, and low-cost physical controls to manage SLF populations. The system predicts where SLF are most likely to spread, detects them automatically in drone-collected images, and reduces the bugs’ movement through the novel Aquabex water-barrier trap, which costs less than 50 cents per unit. When deployed across trial locations, AI-LyD…
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Taxonomy
TopicsHemiptera Insect Studies · Insect-Plant Interactions and Control · Plant and fungal interactions
