Smart Animal Deterrent System Using IoT and Machine Learning for Farmland Protection

Jayanthi Sree, S and Vasanth, M and Vishnu, M and Praneeth Krishna, E and Vijaya Sanjeevan, S and Sivaram, R (2025) Smart Animal Deterrent System Using IoT and Machine Learning for Farmland Protection. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-6.

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Abstract

This work presents a deployable deterrent system tailored for agricultural environments, integrating embedded intelligence and wireless control. By combining ESP32-based hardware with a YOLOv5 detection pipeline and ultrasonic actuation,thesystemidentifiesandrespondstoanimalintrusions in real time. A lightweight server architecture bridges the microcontroller and mobile interface, enabling remote monitoring and adaptive feedback. Experimental results demonstrate high detection accuracy and low latency, validating the system's potential for scalable field deployment.

Item Type: Article
Subjects: Computer Science and Engineering > Embedded and Real-Time Systems
Physics > Acoustics and Sound
Divisions: Electronics and Communication Engineering
Depositing User: Dr Krishnamurthy V
Date Deposited: 24 Apr 2026 08:42
Last Modified: 24 Apr 2026 08:42
URI: https://ir.psgitech.ac.in/id/eprint/1793

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