Research on Precision Agriculture Monitoring System Based on Internet of Things and Artificial Intelligence

with the continuous growth of the global population and the increasing severity of environmental issues, traditional agriculture is facing unprecedented challenges. Precision agriculture, as an innovative solution to address these challenges, aims to optimize agricultural resource use, improve production efficiency, and achieve sustainable development through the integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies. This paper reviews the applications of IoT and AI in precision agriculture, exploring technological advancements and practical applications in areas such as crop monitoring, pest prediction, and resource optimization. It also analyzes the research gaps and challenges in this field. The study demonstrates that IoT can provide essential support for precision agriculture through real-time data collection and transmission, while AI optimizes decision-making through intelligent algorithms, assisting farmers in achieving precise management. However, despite significant technological advancements, the deep integration of IoT and AI still faces challenges such as device compatibility, data privacy, and system integration. This paper also suggests that future research should focus on overcoming these technical bottlenecks, especially in reducing costs, improving system integration, and promoting interdisciplinary collaboration. The integration of IoT and AI will play an increasingly vital role in precision agriculture, contributing to global food security and sustainable agricultural development.