Citation

Roslee, Mardeni and Tim, Yap Woon and Sudhamani, Chilakala and Irawati, Indrarini Dyah and Darlis, Denny and Osman, Anwar Faizd and Jusoh, Mohamad Huzaimy (2024) Internet of Things: Agriculture Precision Monitoring System based on Low Power Wide Area Network. WSEAS TRANSACTIONS ON ELECTRONICS, 15. pp. 35-46. ISSN 1109-9445

Text a105117-163.pdf - Published Version Restricted to Repository staff only Download (875kB)

Abstract

Nowadays, many people around the world depend mostly on agriculture for their livelihood. In the majority of countries around the world, it is the most significant occupation for many families. Unfortunately, farmers, particularly in oil palm plantations, continue to rely on age-old practices. One of the key elements in achieving high and long-term oil palm production on peat is the adoption of efficient precision water management. In essence, this means maintaining the water table at the necessary depth. Because of the peat's persistently low water table, oil palm productivity has sharply decreased. In this work, an Internet of Things (IoT) for precision agriculture monitoring is developed using a long-range wide area network (LoRaWAN) algorithm. Based on an approach point of view, a LoRaWAN is a long-range, low-power, low-bitrate wireless telecommunications system meant to be used as part of the Internet of Things architecture. The end devices link to gateways through a single wireless hop using LoRaWAN. These gateways function as transparent bridges, relaying messages from the end devices to a central network server. The ultimate result is the creation of a precision water management assistance algorithm employing LoRaWAN and IoT that is both affordable and effective.

Item Type:	Article
Uncontrolled Keywords:	IoT, LoRAWAN, Wireless Communication, Sensors Networks
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	30 May 2024 01:27
Last Modified:	30 May 2024 01:27
URII:	http://shdl.mmu.edu.my/id/eprint/12477

Downloads

Edit (login required)