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Low-Cost Live Insect Scouting Drone: iDrone Bee
Jae Hyeon Ryu1,2, Justin Clements3, Jerry Neufeld3
1Interstate Drone League (iDrone), POBOX 50082, Boise, Idaho 83705, USA.
Journal of Insect Science (Online)
|July 6, 2022
Summary
This study introduces the iDrone Bee, an affordable, open-source drone for live insect sampling in agriculture. This technology aims to reduce manual labor and time for integrated pest management (IPM) professionals.
Area of Science:
- Agricultural Science
- Robotics
- Entomology
Background:
- Unmanned aerial vehicles (UAVs) are widely used in civil applications, including precision agriculture for monitoring crop health via remote sensing.
- While UAVs monitor crop stress using multispectral imaging, their application for direct agricultural tasks like insect sampling remains underexplored.
- Integrated Pest Management (IPM) traditionally relies on labor-intensive manual scouting for insect populations.
Purpose of the Study:
- To develop and validate a low-cost, open-source drone system, named 'iDrone Bee', for automated live insect collection.
- To provide a practical, mission-oriented tool for the IPM community to enhance efficiency in pest monitoring.
- To reduce the time and human effort required for insect sampling in agricultural fields.
Main Methods:
- Construction of the 'iDrone Bee' using open-source components and detailed instruction procedures.
- Deployment of the iDrone Bee for live insect scouting missions within an agricultural ecosystem.
- Validation of the drone system's efficacy in an alfalfa seed field setting.
Main Results:
- The iDrone Bee system was successfully built and operated according to the provided procedures.
- The drone demonstrated capability in performing live insect scouting missions in a real-world agricultural environment.
- The study validated the potential of drone-based methods for insect scouting.
Conclusions:
- The iDrone Bee presents a viable, cost-effective solution for automated insect sampling in agriculture.
- This drone-based approach can significantly minimize manual labor and time investment for IPM practitioners.
- The developed system shows promise as a valuable tool to support and advance integrated pest management strategies.

