Application of Wireless Sensor Technology in Greenhouses

Zeyu Zhang

doi:10.47297/taposatWSP2633-456906.20230401

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Application of Wireless Sensor Technology in Greenhouses

Volume 4, Issue 1

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Application of Wireless Sensor Technology in Greenhouses
Department of Electronic Information and Computer Engineering, Engineering & Technical College of Chengdu University of Technology, Leshan Scichuan,P.R.China,614000
Vol. 4, Issue 1, Pages: 39-42(2023)
DOI：10.47297/taposatWSP2633-456906.20230401

Full txt

Zeyu Zhang. (2023). Application of Wireless Sensor Technology in Greenhouses. Theory and Practice of Science and Technology, 4(1), 39-42.
DOI：

Zeyu Zhang. (2023). Application of Wireless Sensor Technology in Greenhouses. Theory and Practice of Science and Technology, 4(1), 39-42. DOI： 10.47297/taposatWSP2633-456906.20230401.

摘要

Abstract

Through reading relevant literature at home and abroad

this paper finds that WSN technology and ZigBee technology in agricultural planting

both at home and abroad

an important part is the application in greenhouse

which is a common concern of researchers. After analysis

it can be seen that this kind of literature generally focuses on the use of different ways and means to achieve remote monitoring of temperature

humidity

lighting

etc.

solve the problems of high human resources consumption and low efficiency to reduce farmers' losses in the planting process

and at the same time

it carries out the current problems of high energy consumption

volume and high cost of equipment. Improve the upgrade. At present

wireless sensor technology is generally controlled by the main control in agriculture

and a large number of sensor nodes are installed to form a monitoring network

and then sensors with different functions collect different data information for monitoring. In response

the existing methods are further optimized to help farmers identify problems in a timely manner and obtain more effective solutions.

关键词

Keywords

Greenhouse Sensor ZigBee TCN Monitoring

references

M. Chen, X. Wang, H. Zhang.(2021).Wireless Visualization Smart Agriculture Management System Based on WSNs. Journal of Agricultural Mechanization Research, 7:207-11.[2] W. Zhang.(2020).Design of Environmental Monitoring System for Greenhouse in Modern Intelligent Agricultural Facilities. Computer Measurement &Control, 8:135-38.[3] W. Chen, S. Li, Y. Lin, et al.(2017).Design of greenhouse data acquisition system based on wireless communication. Electronic Design Engineering, 12:72-76.[4] A. Saipulla, C. Westphal, B. Liu, et al.(2009).Barrier Coverage of Line-Based Deployed Wireless Sensor Networks. IEEE INFOCOM 2009.Rio de Janeiro, Brazil. IEEE.[5] Y. Li, S. Li, B. Ma, et al.(2021).Research on vibration trend and remaining life prediction of rolling bearings based on TCN. Modern Manufacturing Engineering, 9:124-31.[6] S. Gopali, F. Abri, S. Siami-Namini, et al.(2021).A Comparison of TCN and LSTM Models in Detecting Anomalies in Time Series Data. IEEE International Conference on Big Data(Big Data). Orlando, FL, USA.IEEE.[7] P. Hewage, A. Behera, M. Trovati, et al.(2020).Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station. Soft computing,24:16453-82.

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