This paper presents AgriRover, a modular smart agriculture rover system guided by GPS for autonomous field navigation and environmental monitoring. The architecture comprises two main modules: an Arduino Mega-driven rover for autonomous navigation based on GPS waypoints, and an ESP32-based sensor module for collecting environmental data such as temperature, humidity, and soil moisture. A magnetometer ensures accurate heading, while Bluetooth-based mobile input enables flexible waypoint configuration. Collected data is uploaded to the cloud in real time, enabling remote monitoring and decision-making. The AgriRover addresses the challenge of efficient environmental monitoring over large agricultural plots by providing an automated and scalable solution. This modular architecture supports future technical enhancements, such as AI-driven automation and advanced analytics. Field testing over a 30 m \(\times \) 30 m plot demonstrated reliable navigation and accurate sensing, validating the system’s potential for precision agriculture in both remote and large-scale applications.