Millimeter-wave radar pest monitoring and IPM action thresholds

Overview

This proposal describes a compact millimeter-wave radar-based sensing module for automated pest monitoring. Unlike conventional traps or visual inspections, the system detects untagged pests remotely and estimates their activity level relative to integrated pest management (IPM) action thresholds. The core value is linking automated sensing directly to a practical pest-control decision: whether pest activity warrants intervention. By providing repeated, calibrated observations within a defined sensing area, the system can flag when pest activity exceeds a pest- and setting-specific threshold, enabling timely, targeted control and potentially reducing unnecessary pesticide applications.

The design targets affordability, simple installation, and low maintenance for residential settings. A consumer-facing app receives alerts and pest-group estimates over Bluetooth or Wi-Fi, making the system suitable for homeowners and pest-management professionals seeking objective activity data.

Technical specifications

The module uses millimeter-wave radar to collect backscatter and motion features from pests and the surrounding environment. Machine learning algorithms combine these features to distinguish selected pest groups from non-target organisms and environmental clutter. Because radar does not require tagging or physical contact with the pest, it can provide continuous, unattended monitoring.

Key technical elements:

• Untagged detection: Radar captures pest activity without the need for bait, capture, or tagging.
• Pest-group classification: Machine learning distinguishes relevant pest groups from non-target organisms, with group-level discrimination sufficient when the organisms share a management response.
• Calibrated activity index: Repeated observations are calibrated against independent pest counts and expert-defined action thresholds to produce a pest-activity index with confidence estimates.
• Action-threshold alerts: The system flags when activity exceeds a pest- and setting-specific IPM action threshold.
• Embedded processing: A compact prototype integrates the sensing and classification pipeline, with a documented data interface for app integration.
• Consumer reporting: Bluetooth or Wi-Fi connectivity delivers pest-group estimates, alerts, and device health to an app.

Technology readiness level

This is an early-stage research proposal. The scientific basis is supported by published radar studies showing that insects can be classified using reflected signals and motion features. Planned validation spans 12 months: application definition, radar acquisition and processing configuration, prototype integration with embedded processing, and demonstrations in representative residential conditions. The development roadmap includes connected prototypes and manufacturing refinement, targeting commercialization within 3–5 years. The technology is currently in the research and early prototyping phase, with validation in representative residential environments still to be completed.