Smart Agriculture Environment Monitoring and Intelligent Early Warning System Based on Internet of Things

In today's era of rapid technological development, traditional agriculture is undergoing profound changes, and the rapid advancement of Internet of Things (IoT) technology has injected strong vitality into this transformation. In recent years, the deep integration of IoT and agriculture has given rise to the new concept of smart agriculture. The IoT agricultural environment monitoring system, as a key component of smart agriculture, has significant implications for promoting agricultural modernization and sustainable development. This article provides a detailed study on a smart agricultural environment monitoring and intelligent warning system that integrates IoT and deep learning (DL) technologies. This system not only utilizes IoT technology to achieve efficient data collection and transmission, but also innovatively introduces DL technology to improve the accuracy and efficiency of data processing and analysis. With the help of high-precision sensors in farmland, the system can accurately monitor agricultural environmental parameters, crop growth status, and pest and disease conditions in real time. Experimental results have shown that the system exhibits excellent performance in monitoring, analysis, and early warning.