Vol.11, No.2, May 2022.                                                                                                                                                                                   ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science


A Lora-based Testbed Development for Stingless Bee Monitoring System

 

Mohamad Taib Miskon, Muhd Azri Abdul Razak, Hajar Jaafar, Nurhaffizah Hassan, Rosman Mahmood

 

© 2022 Muhd Azri Abdul Razak, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 11, Issue 2, Pages 712-718, ISSN 2217-8309, DOI: 10.18421/TEM112-26, May 2022.

 

Received: 11 February 2022.

Revised:   12 April 2022.
Accepted: 20 April 2022.
Published: 27 May 2022.

 

Abstract:

 

In recent years, stingless bee honey has gained popularity due to its health benefits and commercial potential. There is a worrying tendency of bee colonies leaving its hives suddenly, and a specific research has been done to monitor the insect's habits. This project proposed a testbed for a stingless beehive monitoring system capable of capturing sensory data that provides an accurate indication of the bee's health and activity. This project utilises a raspberry pi gateway as a LoRa packet forwarder and four Arduino end nodes to collect sensor data from stingless beehives. The outcome showed that all planned functionalities had been accomplished, and these characteristics are expected to provide sufficient information to the beekeeper to take appropriate action to avert colony collapse. Future studies will focus on the modelling and correlation of measured environmental data in order to forecast bee colony loss.

 

Keywords –Arduino, Beehive, Raspberry Pi, Nodred, Internet of Things, LoraWAN.

 

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