
International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 4
October-December 2025
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Design and Simulation of an Indigenous IoT-Based Smart Egg Incubator for Local Farmers
Author(s) | Mr. ABRAHAM ATOSONA, Dr Stephen Akobre, Prof. Mohammed Ibrahim Daabo |
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Country | Ghana |
Abstract | This study addresses the challenges local farmers face in achieving optimal hatch rates due to the inability to precisely monitor and control incubation conditions. To mitigate losses and improve process efficiency, this research designed, implemented and simulated a low-cost, smart egg incubator framework leveraging Internet of Things (IoT). The system was built using ESP32 microcontroller, integrating sensors to continuously monitor critical incubation parameters including temperature and humidity within the incubation chamber. A key feature of the framework is its capability to allow farmers to remotely monitor and control these conditions in real-time via a user-friendly interface. The design prioritized the use of indigenous and locally available materials to ensure affordability and durability for local farming communities. The system's functionality and control logic were rigorously simulated to validate its effectiveness and reliability. The results demonstrate a robust and user-friendly IoT incubator framework that offers enhanced functionality and convenience. The practical implications of this research are significant, providing local farmers with a viable technological solution to minimize losses, reduce time wastage and improve the overall efficiency and success of the egg hatching process. This work contributes to the field of agricultural technology by offering a practical, sustainable and accessible solution for small-scale poultry farming |
Keywords | Smart Incubator, Internet of Things (IoT), ESP32, Environmental Control, Indigenous Design, Poultry Farming, Hatchability |
Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 16, Issue 4, October-December 2025 |
Published On | 2025-10-17 |
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CrossRef DOI is assigned to each research paper published in our journal.
IJSAT DOI prefix is
10.71097/IJSAT
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