IoT-Based Standalone Device for Beehives Monitoring Toward Honey Yield Optimization

Publication Type

Conference Proceeding

Publication Date (Issue Year)

2024

Journal Name

Proceedings of Ninth International Congress on Information and Communication Technology

Abstract

Beekeeping has been a long-standing tradition in Rwanda for many decades, passed down through the generations and carried out by established norms and practices. As Rwanda’s export and domestic markets expanded, so did the importance of beekeeping. Several researchers have devoted their efforts to overcoming the difficulties connected with monitoring and controlling beehives, all in the quest to optimize honey yield. However, there is still a persistent gap, resulting in unsatisfactory production levels. When it comes to honey production, security is a major issue that concerns beekeeping in numerous parts of the world. People not only steal valuable hives, but they also steal honey during harvesting season, leaving empty hives behind. Some animals destroy the beehives, for instance large invasion of ants. To address these concerns, a cutting-edge smart device has evolved that effectively monitors in real time and controls beehives by using the power of the Internet of Things (IoT). This smart device, which is equipped with an array of modern sensors including temperature, humidity, light, gas, sound, weight, and motion sensors, revolutionizes beekeeping methods where hives can be monitored using phones or computers. It ensures the monitoring of beehive conditions and reliable detection of moving objects such as humans or animals. In the case of an intruder, the system uses a GSM communication module, to promptly notify the hive owner in real time while also activating a siren to alert the local neighborhood. Notably, the smart device uses solar energy to power itself via an inbuilt solar panel, making it an eco-friendly and sustainable energy source. This breakthrough assures uninterrupted operation and removes the need for battery replacements regularly. The device has been successfully developed and taken to beekeepers for its real-time application and it will be improved by utilizing machine learning techniques to create an autonomous analytical model by combining data from all of the sensors used, allowing for precise and efficient decision-making.

Keywords

IoT-Based Standalone Device, Beehives Monitoring, Honey Yield Optimization

Grantee Name(s)

Elias Ntawuzumunsi

Project Title

Smart bee hiving Technology

Type of Grant

Cooperability Grant

Thematic Area

ICTs Including Big Data and Artificial Intelligence

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