Abstract: Birds play a dual role in agriculture: while they contribute to the ecosystem by controlling pests, they can also cause significant crop damage. Traditional deterrents like scarecrows and sound devices often prove ineffective. This project presents a smart bird repellent system using image processing (MATLAB), deep learning (CNN), and IoT (Arduino, GSM). It detects harmful bird activity in real time and triggers a buzzer to scare them off. PIR sensors identify intruders, and a GSM module alerts the farmer. The system is low-cost, eco-friendly, and enhances agricultural productivity by reducing crop loss.
Keywords: Bird Detection, MATLAB, IoT, CNN, Arduino, PIR Sensor, GSM Module
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DOI:
10.17148/IJARCCE.2025.14678
[1] Bhoomika P , Anusha K A , Krutika , Harsha P and Gurukiran S P, "Bird And Intruder Detection System for Farmland’s Using Image Processing," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14678
