Concept solution of autonomous IoT Smart Hive and optimization of energy consumption using artificial intelligence

Author:

Andrijević Nebojša,Herceg DejanaORCID,Maričić SrđanORCID,Radivojević Vladan,Jocić GoranORCID

Abstract

In this paper the authors present a conceptual solution for an autonomous smart beehive with a focus on energy efficiency; the hive's existence is based on artificial intelligence. The hive is equipped with an advanced system for monitoring the entry and exit of bees, as well as for collecting data on the weather inside and around the hive. Using an array of sensors controlled by Espressif ESP32 and Arduino Mega microcontroller boards, the hive continuously optimizes the operation of the ventilation system and other components, monitoring energy consumption and adapting to changing conditions. Special accents in the work are dedicated to the monitoring of the solar panel and, consequently, the capacity of the battery for independent power supply of the system, as well as the application of artificial intelligence to predict meteorological changes and optimize energy efficiency. This paper provides a comprehensive overview of the solutions and technologies that enable the autonomous and energy-efficient functioning of the Smart Hive.

Publisher

Centre for Evaluation in Education and Science (CEON/CEES)

Reference14 articles.

1. Al-Rajhi, M. (2022). Warming Beehives with Solar Energy Stored in Water. Türkiye Tarımsal Araştırmalar Dergisi, 9(3), 286-294;

2. Andrijević, N., Radivojević, V., Radaković, D., Milovanović, D., Suljović, S. (2023). Conceptual model of a system for optimizing the temperature and humidity of honeybee hives using artificial intelligence. Scientific and Professional Conference with International Participation Politehnika, Belgrade, pp. 1266-1269;

3. Andrijević, N., Urošević, V. (2021). Concept of Adaptive Smart IoT Technology for Application in Smart Agriculture. Scientific and Professional Conference with International Participation Politehnika, pp. 749;

4. Andrijević, N., Urošević, V. (2021). Development of a System for Continuous Monitoring of the State of the Bee Society. YU-INFO conference 2021, pp. 123-126;

5. Andrijević, N., Urošević, V. (2022). Development of software for control of beehive ecosystem with alarm. YU-INFO conference 2022, pp. 173-175;

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