ABSTRACT

In order to improve the management effect of agricultural sustainable development, this paper uses the Internet of Things technology and machine learning technology as the basis to study the agricultural sustainable development platform. Simultaneously, this paper studies the architecture of wireless sensor nodes and networks oriented to complex agricultural habitat conditions. Moreover, in view of the harsh environment of data collection in agricultural production sites and the higher requirements for network robustness, this paper designs a new type of intelligent sensor network equipment. It is used to effectively reduce the number of tasks undertaken by routing and the completeness of data in a large covered agricultural base area, and to ensure the efficiency and reliability of network data. In addition, this paper combines the needs of sustainable development of smart agriculture to build a smart agriculture platform based on Internet of Things technology and machine learning, and design experiments to verify the performance of the system platform constructed in this paper. From the experimental research, it can be seen that the system constructed in this paper basically meets actual needs.

摘要

为了提高农业可持续发展的管理效果，本文以物联网技术和机器学习技术为基础，对农业可持续发展平台进行研究。同时，本文研究了面向复杂农业生境条件的无线传感器节点和网络的架构。此外，针对农业生产现场数据采集的恶劣环境以及对网络鲁棒性的更高要求，本文设计了一种新型的智能传感网络设备。用于在大面积覆盖的农业基地区域有效减少路由所承担的任务数量和数据的完整性，保证网络数据的效率和可靠性。此外，本文结合智慧农业可持续发展的需要，构建了基于物联网技术和机器学习的智慧农业平台，并设计实验验证了本文构建的系统平台的性能。从实验研究可以看出，本文构建的系统基本满足实际需要。