Ai-enabled crop protection solution for targeted insect pest management

Overview

The AI-Enabled Crop Protection Solution is an intelligent pest management device designed to address one of agriculture's most persistent challenges: distinguishing between harmful and beneficial insects. The solution is grounded in the principle that insects rely on multiple communication modes—acoustic, chemical, mechanical, tactile, and visual—to coordinate behavior. By decoding and replicating these signals, the device selectively targets herbivorous and omnivorous pests while leaving beneficial insects such as pollinators, parasitoids, and carnivorous predators undisturbed. This targeted approach offers a sustainable alternative to broad-spectrum pesticides, reducing ecological harm and supporting biodiversity in agricultural ecosystems.

The technology was developed through extensive laboratory research into insect behavioral responses across taxonomic orders including Coleoptera, and validated in controlled net-house environments where it demonstrated the ability to electrocute and collect 95–97% of targeted pest insects within 24 hours.

Technical specifications

Core technology components:

• Multi-modal signal generation: Emits acoustic, chemical, tactile, and visual signals that mimic intraspecific and interspecific insect communications
• AI-driven signal selection: Selects appropriate communication signals based on the behavioral patterns of target pest species while avoiding signals that would attract beneficial insects
• Electrocution grid: High-voltage grid surrounding the device eliminates attracted pests, which are collected in a bowl beneath the unit
• Selective targeting: Attracts and eliminates herbivorous and omnivorous insects (including may beetles, flea beetles, chafer beetles, long-horned beetles, and crickets) while repelling beneficial species such as ladybird beetles, parasitoids, and nectar-pollen feeding bees
• Controlled deployment: Validated in net-house trials with defined insect populations (75 female and 25 male insects per species, with adjustments for long-horned beetles)

Technology readiness level

The solution has undergone initial validation in controlled net-house environments, where it successfully eliminated 95–97% of targeted herbivorous and omnivorous insects within a 24-hour period. Future validation efforts will focus on expanding the understanding of sensory-motor processing in insects, refining signal selection algorithms, and validating the device across broader pest species and agricultural settings. The research aims to build a comprehensive AI-enabled insect communication framework for managing insect pests while safeguarding beneficial insects, with continued development toward broader field deployment.