Citation
Lokman, Muhammad Luthfi and Chan, Kah Yoong and Ting, Yik Tian and Lee, Chu Liang and Chung, Gwo Chin and Pang, Wai Leong (2024) LoRa Based IoT Enabled Sensor Networks for Plantations. Journal of Engineering Technology and Applied Physics, 6 (1). pp. 16-24. ISSN 26828383
Text
View of LoRa Based IoT Enabled Sensor Networks for Plantations.pdf - Published Version Restricted to Repository staff only Download (3MB) |
Abstract
The integration of Wireless Sensor Network (WSN) technology with the Internet of Things (IoT) in agriculture plays a pivotal role in addressing a range of challenges and constraints faced by the sector, encompassing issues such as labour shortages, suboptimal farm management practises, and unpredictable weather conditions. In response to these pressing concerns, this study focuses on the development of WSN with IoT for agriculture, employing a spread spectrum modulation technique named the Long Range (LoRa) module. By leveraging LoRa devices and wireless radio frequencies, this technology serves as a versatile platform for delivering wireless, long-range, and energy-efficient communication to support small and medium-sized agricultural operations. These operations often lack adequate technological assistance due to factors such as limited expertise and the high costs associated with cutting-edge agricultural technology. The research undertakes a comprehensive exploration, involving LoRa parameter testing, Line-of-Sight evaluations, Non-Line-Of-Sight (NLOS) simulations, and sensor calibration, to assess the efficacy of LoRa-based IoT-enabled sensor networks within plantation environments. The overarching objective of this research endeavour is to provide valuable insights that contribute to the optimisation of agricultural practises through streamlined IoT solutions. By implementing practical and cost-effective strategies, the local agricultural sector stands poised to achieve seamless strides in both sustainable and efficient food production.
Item Type: | Article |
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Uncontrolled Keywords: | Agriculture, WSN, IoT, LoRa, Sensor networks, Sustainable food production |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television |
Divisions: | Faculty of Engineering (FOE) |
Depositing User: | Mr. MUHAMMAD AZRUL MOSRI |
Date Deposited: | 03 Apr 2024 04:33 |
Last Modified: | 03 Apr 2024 04:33 |
URII: | http://shdl.mmu.edu.my/id/eprint/12362 |
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