AgriBot: IoT-enabled Autonomous Robotic System for Real-time Soil and Environmental Monitoring in Precision Agriculture
Keywords:
Autonomous navigation, Data-driven decision-making, IoT-based monitoring, Precision agriculture, Robotics, Smart farming, Wireless communicationAbstract
Agriculture, as a foundation of food security and economic development, increasingly depends on technological innovations to address rising demands for efficiency, sustainability, and productivity. Traditional farming practices often struggle with inefficiencies in monitoring and resource management, creating a need for intelligent solutions. This study presents AgriBot, an autonomous agricultural robot designed to support precision farming through real-time monitoring of soil and environmental conditions. Leveraging IoT-enabled sensors, embedded microcontrollers, and a web-based dashboard, AgriBot collects and analyzes data to provide actionable insights for farmers. Experimental evaluation showed that the proposed system achieved approximately 95% obstacle detection accuracy during autonomous navigation and about 90% accuracy in soil moisture sensing across varying soil conditions. Additionally, real-time control and monitoring were supported with response latencies below 500 ms and continuous operation of up to 4–5 hours, demonstrating the system’s suitability for practical precision agriculture applications.
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