Applications of Embedded IoT Systems in Smart Agriculture: Innovations and Challenges

This paper focuses on the optimization of embedded systems in the Internet of Things technology, vertical domain customization strategies, integration with emerging technologies, cross-platform deployment, and scalability design, as well as other related issues. It employs case analysis and comparative research methods to conduct in-depth research. The research results show that embedded IoT systems significantly improve the intelligence level of agricultural production through hardware innovation and architecture evolution. Edge computing and cloud collaboration architectures address latency and bandwidth bottlenecks, while TinyML and blockchain technology equip devices with greater intelligence and trust. However, protocol fragmentation and security vulnerabilities have become major obstacles to its scale-up. In the future, breakthroughs should be made in the establishment of cross-platform embedded device interoperability standards, the development of lightweight post-quantum encryption algorithms, and the construction of predictive maintenance systems based on digital twins. At the same time, modular design helps to lower the barriers to adoption by small farmers and promote the inclusive development of agricultural IOT.