Research on Real Time Tractor Monitoring and Operational Visualization

Agriculture is undergoing a major transformation with the integration of automation, IoT, and smart monitoring systems. Conventional tractor operations often demand continuous human supervision, leading to increased labor costs, inefficiency, and errors in field operations. With the advent of embedded systems and intelligent software platforms, there is now a growing need for solutions that can automate routine tasks, provide real-time monitoring, and deliver actionable insights to farmers. The proposed paper, Real Time Tractor Monitoring and Operational Visualization System, is designed as a smart embedded software integration model to support precision agriculture. The hardware prototype is developed using an ESP8266 microcontroller, ESP32 camera module, L298 motor driver, and 4 BO motors with wheels, enabling the vehicle to autonomously navigate along a path. A color-based navigation mechanism is implemented, where a fixed color (e.g., red) is detected using image processing to guide the tractor from one point to another. If the tractor deviates from its assigned path, a notification is immediately sent to the user through a Firebase database and displayed on the web application.