Design of intelligent agricultural management system based on STM32

This research proposes an STM32-based intelligent agricultural management system, targeting the resolution of information asymmetry and the production-market disconnect in traditional agriculture. The system integrates multiple sensors, LoRa wireless communication, IoT, cloud computing, and big data analytics to facilitate real-time monitoring and intelligent management of crop growth environments. Its architecture includes key modules for sensing and data acquisition, data communication, cloud-based processing and analysis, and user interaction, with capabilities for remote monitoring and management. By providing a scientific basis for decision-making and supporting intelligent decision-making through data analysis, this system significantly promotes agricultural modernization and the development of precision agriculture.