A Wireless Communication System for Hyper-localized Pest Management using Autonomous Micro-Robot Swarms in Sri Lankan Rice Paddy Fields

Abstract

This paper presents a wireless communication framework for hyper-localized pest management in Sri Lankan rice paddy fields using autonomous micro-robots warms. The proposed system integrates Internet of Things (IoT) based sensing units with low-power wireless communication to enable real-time monitoring and coordinated response among micro-robots. A layered architecture combining data acquisition, swarm coordination, and centralized control is introduced to improve responsiveness and minimize pesticide use. Communication reliability, latency, and coverage were analyzed under realistic field constraints, demonstrating the feasibility of the proposed design. Although a Convolutional Neural Network (CNN)-based pest identification module is proposed as part of the future extension, this study primarily focuses on the IoT communication design and coordination aspects. The outcomes indicate that the proposed approach can serve as a scalable and energy-efficient foundation for intelligent pest management systems in precision agriculture.