ISCEP 2026 At Sunway Putra Hotel 17-18 August 2026
ABSTRACT
ORAL PRESENTATION ABSTRACT
T1_09
IPPM-R: A SMART RODENT MONITORING AND MANAGEMENT SYSTEM USING NFC, QR CODE, AND IOT TECHNOLOGIES
Mohd Kamir YUSOE", Wan Mohd Amir WAN FAZAMIN', Wan Aezwani WAN ABU BAKAR, Mustafa MAN', Harry Cheah Hoo KIET', Mastura ROSLAN
Faculty of informatics and Computing Faculty of informatics and Computing Univer Zainal Abidin Best Tengganu Malaya
'Faculty of Computer Science and Mathematics, Universiti Malayala Terengganu Kala Nera, Tangan
Malayala
Rodent infestations pose significant risks to public health, food safety, and property management, particularly in urban and commercial environments. Conventional rodent monitoring practices rely heavily on manual inspections, resulting in delayed detection, increased operational costs, and limited visibility of rodent activities. This paper presents the development of the Intelligent Pest and Rodent Monitoring System (PPM-RL a amart monitoring platform that integrates Near Field Communication (NFC), Quick Response (QR) code technologies, and Internet of Things (IoT)-based sensing for efficient rodent management. The proposed system consists of a Flutter-based mobile application, cloud-based database. web dashboard, and an ESP32-enabled smart bait station equipped with infrared (IR) break- beam sensors for detecting rodent activity in real time. Field technicians utilize NFC and QR technologies for station identification, inspection recording, and reporting, while the loT module continuously captures rodent activity events and transmits data to a centralized cloud server. The collected information is visualized through an integrated dashboard that supports activity monitoring, inspection management, and operational decision-making. The proposed architecture enhances inspection efficiency, improves monitoring accuracy, and enables near real-time visibility of rodent activities compared to traditional manual approaches. The system establishes a foundation for future integration of artificial intelligence (AI) and predictive analytics for intelligent pest management applications.
Keywords: rodent menting Intemet of Things (T), NFC, QR Code, ESP32, smart but station, pest management, mobile application, real-time monitoring
INTERNATIONAL SCIENTIFIC CONFERENCE ON ENTOMOLOGY AND PEST SCEP) 2005