Intelligent analysis platform of agricultural sustainable development based on the Internet of Things and machine learning
Yinghan Liu
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.
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