Real-Time Environmental Data Collection and Fusion Method for Intelligent Greenhouses Based on Agricultural Internet of Things Technology

Authors

  • Bing Zhang Institute of Information Engineering, Suqian University, Suqian 223800, China

Abstract


In order to improve the real-time environmental performance of insulated, intelligent greenhouses and control various greenhouse parameters in order to meet production requirements, a real-time environmental data acquisition and fusion method is proposed for intelligent greenhouses, based on Agricultural Internet of Things Technology. By means of the Agricultural Internet of Things topology constructed using ZigBee technology, the ambient temperature, humidity and CO2 concentration data of intelligent greenhouse are collected in real time. The wavelet function is used to transform the collected environmental data, Mallat algorithm is used to calculate the low-frequency coefficients and high-frequency coefficients obtained from
data transformation, the node distortion data is reconstructed, the wavelet analysis method is used to denoise the reconstructed data, and the data correlation is determined by the to the preprocessing results. The weighted algorithm, which has an improved support function, is used to fuse the real-time environmental data of intelligent greenhouses. The simulation results show that the proposed method has high accuracy and a short fusion time.


Keywords: Agricultural Internet of Things Technology; Intelligent Greenhouse; Real-Time Environmental Data; Wavelet Analysis

Cite As

B. Zhang, "Real-Time Environmental Data Collection and Fusion Method for Intelligent Greenhouses Based on Agricultural Internet of Things Technology", Engineering Intelligent Systems, vol. 31 no. 3, pp. 195-204, 2023.

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Published

2023-05-01

Issue

Vol. 31 No. 3 (2023): International Journal of Engineering Intelligent Systems

Section

Article

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