Research and Design of Intelligent Greenhouse Control System Based on AIoT Fusion Technology

Abstract

This article designs the entire intelligent Greenhouse system architecture, collects a large amount of data such as temperature, humidity, light, and water through Multi-sensors, and implements an improved fuzzy neural network control algorithm. The advantage of this algorithm over traditional neural networks is that it can express fuzzy and qualitative the knowledge,which also improves the overall learning ability of the system. This intelligent system combines advanced technologies such as AIoT, NB-IoT, and 5G and uploads sensor data to the cloud platform. Through this improved learning algorithm, it provides optimized temperature, humidity and lighting conditions for plants in the greenhouse, and optimal growth conditions. In addition, this system design also optimizes NB-IoT power management, which can improve the overall system information transmission rate and decoding efficiency, and better achieve connection between the 5G and NB-IoT in order to link up each operations and for transmissions. That design and research of the intelligent greenhouse control system has improved the function and the value of the traditional greenhouse control system. Through the AIoT fusion technology, the entire intelligent greenhouse system is made more convenient, intelligent and integrated.