Avian Pro: Intelligent Robot for Philippine Sparrow Detection and Deterrence using Laser Pointer
DOI:
https://doi.org/10.32871/rmrj1302si.i2503Keywords:
Philippine sparrow, pest management, sustainable agriculture, laser, intelligent robot, machine learningAbstract
Background: Bird pests, particularly the Philippine Sparrow, pose a persistent threat to farmers in Luzon's southern and northern regions. Conventional deterrents such as scarecrows and lethal methods are often ineffective, unsustainable, and harmful to the environment.
Methods: This study developed an eco-friendly bird deterrent system using a Raspberry Pi microcomputer, image processing, and machine learning to detect and target the Philippine Maya. A green laser pointer, controlled by servo motors, was used as a non-lethal deterrent, activating only upon detection of pests.
Results: The system demonstrated effective bird detection within a range of 10 to 11 meters. Environmental factors, including sunlight and the prototype's positioning, influenced detection accuracy and laser performance. The system operated in short bursts of 10–15 minutes within a 2-hour window to conserve energy.
Conclusion: With its low-power design and potential for solar integration, the system provides a sustainable and environmentally friendly solution for managing bird pests in agricultural fields. It presents a viable alternative to traditional methods, promoting eco-conscious farming practices.
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