Education, Science, Technology, Innovation and Life
Open Access
Sign In

Design and Implementation of Smart Agriculture System Based on Wireless Sensors Networks

Download as PDF

DOI: 10.23977/acss.2023.070515 | Downloads: 60 | Views: 466

Author(s)

Yuting Liu 1

Affiliation(s)

1 School of Information and Intelligence Engineering, University of Sanya, Sanya, Hainan, 572000, China

Corresponding Author

Yuting Liu

ABSTRACT

The development of information and communication technology has provided the conditions for the advancement of smart agriculture. This article focuses on designing a smart agriculture system based on wireless sensor network technology for large-scale outdoor cultivation of grain crops, aiming to provide scientific guidance for increasing crop yield and applying scientific and technological advancements to modern agricultural production. The design of the smart agriculture system in this article is divided into two parts: the perception layer and the network layer. The perception layer includes data collection terminals and control terminals. The data collection terminals are used for acquiring and transmitting environmental parameters of crops, while the control terminals are used to regulate the environmental parameters of agricultural equipment. Both the data collection terminals and control terminals employ LoRa wireless communication technology to achieve long-range data transmission. The network layer consists of LoRa gateways, which connect to the network server via Ethernet and are responsible for uploading data from the data collection terminals and control terminals, as well as issuing control commands. Finally, the article conducted functional tests on the smart agriculture system, and the results indicated that all functions and performance of the system met the expected requirements. The system is capable of long-range data collection and transmission, meeting the demands of smart agriculture, and has promising application prospects.

KEYWORDS

Wireless sensor network; Smart agriculture; LoRa

CITE THIS PAPER

Yuting Liu, Design and Implementation of Smart Agriculture System Based on Wireless Sensors Networks. Advances in Computer, Signals and Systems (2023) Vol. 7: 105-112. DOI: http://dx.doi.org/10.23977/acss.2023.070515.

REFERENCES

[1] Chen B. Wireless sensor networks and application development [J]. Wind Technology, 2010(1): 30-35.
[2] Tennina S, Renzo M D, Graziosi F, et al. Locating zigbee nodes using the tis cc2431 location engine: a testbed platform and new solutions for positioning estimation of wsns in dynamic indoor environments[C]. Proceedings of the Annual International Conference on Mobile Computing and Networking, Mobicom, 2008: 37-42.
[3] Abdulkarem M, Samsudin K, Rokhani F Z, et al. Wireless sensor network for structural health monitoring: a contemporary review of technologies, challenges, and future direction [J]. Structural Health Monitoring, 2020, 19(3): 693-735.
[4] Singh D K, Sobti R. Wireless communication technologies for internet of things and precision agriculture: a review [C]. 2021 6th International Conference on Signal Processing, Computing and Control (ispcc), 2021: 765-769.
[5] Tao W, Zhao L, Wang G G, et al. Review of the internet of things communication technologies in smart agriculture and challenges [J]. Computers and Electronics in Agriculture, 2021, 189.
[6] Gloria A, Cercas F, Souto N. Comparison of communication protocols for low cost internet of things devices[C]. South-east Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, Seeda-cecnsm, 2017.
[7] Qin Z J, Li F Y, Li G Y, et al. Low-power wide-area networks for sustainable iot[J]. Ieee Wireless Communications, 2019, 26(3): 140-145.
[8] Liya M L, Aswathy M. LoRa technology for internet of things (iot): a brief survey[C]. Proceedings of the 4th International Conference on Iot in Social, Mobile, Analytics and Cloud, 2020: 128-133.

Downloads: 13504
Visits: 258944

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.