Home // CADAT 2024, The First International Conference on Accessible Digital Agriculture Technologies // View article

Beehive Monitoring Based IoT Technologies and AI

Authors:
Benahmed Khelifa
Merbouh Abdeldjalil
Tab Mohamed Abdeessamd
Lorena Parra
Jaime Lloret
Bourouis Amina

Keywords: Beehive; Smart beehive; IoT; sensor network; Artificial Intelligence; decision trees.

Abstract:
The bee is the best pollinator of plants, essential to the balance of ecosystems and our food. Beekeeping and honey collection in their traditional forms have existed for decades in southern Algeria. Currently, beekeeping faces many problems: climate change, chemical pesticides, diseases, theft, predators, and pollutants. The aim of this work is to propose a system to monitor the state of a hive from inside and outside to remedy the problems raised. In this article, we propose an automated hive system based on the Internet of things (IoT) and Artificial Intelligence (AI). This system will collect the internal and external climatic parameters of the hive using different wireless sensors and transfer these values to the beekeeper's smartphone. Actuators placed in the hive will regulate the hive climate and perform other actions. The results of the experiment indicate that the proposed system is effective for monitoring and securing a beehive. An accuracy value of 0.9022 indicates that the decision tree model used for monitoring achieves a high level of accuracy.

Pages: 23 to 29

Copyright: Copyright (c) IARIA, 2024

Publication date: November 17, 2024

Published in: conference

ISBN: 978-1-68558-324-8

Location: Valencia, Spain

Dates: from November 17, 2024 to November 21, 2024