REAL-TIME AGRICULTURAL FIELD SURVEILLANCE USING ROBOTWSN AND INTERNET OF THINGS TECHNOLOGIES

Abstract

Agriculture plays a vital role in ensuring food security and economic development, yet traditional field monitoring methods often face challenges related to labor intensity, delayed decision-making, and inefficient resource utilization. Recent advancements in Wireless Sensor Networks (WSNs), robotics, and Internet of Things (IoT) technologies have created new opportunities for intelligent and automated agricultural monitoring systems. This study presents a Real-Time Agricultural Field Surveillance System that integrates mobile robotic platforms, Wireless Sensor Networks, and IoT-based communication technologies to enhance crop monitoring, environmental sensing, and farm management. The proposed system employs a surveillance robot equipped with cameras and environmental sensors to collect real-time data on crop conditions, soil moisture, temperature, humidity, and pest activities. Sensor nodes deployed across the agricultural field continuously monitor environmental parameters and communicate wirelessly with the robot and central monitoring station. Through IoT connectivity, the collected information is transmitted to a cloud platform for real-time analysis, visualization, and remote access by farmers and agricultural experts. The integrated framework enables timely detection of abnormalities, supports precision agriculture practices, and reduces manual inspection efforts. Experimental evaluation demonstrates improved monitoring accuracy, faster response to field conditions, enhanced resource management, and increased operational efficiency compared to conventional surveillance methods. The results indicate that the combination of robotic surveillance, WSNs, and IoT technologies provides a scalable and intelligent solution for modern smart agriculture, contributing to increased crop productivity, sustainable farming practices, and efficient agricultural resource utilization.