The The Prototype of An Automated Temperature Control System for Broiler Chicken Coops Based on Arduino and The Internet of Things (IoT)


  • Didik Wiguna * Mail Universitas Indraprasta PGRI, Jakarta, Indonesia
  • Didik Nur Huda Universitas Indraprasta PGRI, Jakarta, Indonesia
  • (*) Corresponding Author
Keywords: Arduino; ESP32; IoT; Broiler; Temperature Control

Abstract

This study aims to design and implement an Internet of Things (IoT)–based automated temperature control prototype for broiler chicken housing using an Arduino Uno and ESP32 microcontroller architecture. The proposed system integrates a DHT22 temperature–humidity sensor, relay modules, a cooling fan, and a heating lamp to regulate the coop microclimate based on predefined temperature thresholds. The Arduino Uno functions as the primary data acquisition and control unit, reading environmental parameters and executing actuator control logic, while the ESP32 handles wireless communication by transmitting sensor data to a MySQL database via WiFi at a configurable interval of 5 seconds. A simple yet effective control algorithm is applied, in which the fan is activated when the temperature exceeds 30.8 °C, while the heating lamp operates based on a scheduled brooding cycle. Experimental results demonstrate that the system is capable of reading temperature data in real time, responding appropriately to environmental changes, and reliably storing data in the database. The main contribution of this research lies in the development of a low-cost, dual-microcontroller IoT prototype that combines real-time monitoring, automatic temperature control, and flexible data logging, making it suitable for small to medium scale broiler farming applications and serving as a foundation for future enhancements involving humidity-based control.

References

O. E. Oke et al., “Early Age Thermal Manipulation on The Performance and Physiological Response of Broiler Chickens Under Hot Humid Tropical Climate,” J Therm Biol, vol. 88, pp. 1–7, Feb. 2020, doi: 10.1016/j.jtherbio.2020.102517.

H. Olanrew, J. Purswel, S. Collier, and S. Branton, “Interactive Effects of Ambient Temperature and Light Sources at High Relative Humidity on Growth Performance and Blood Physiological Variables in Broilers Grown to 42 Day of Age,” Int J Poult Sci, vol. 15, pp. 394–400, Sep. 2016, doi: 10.3923/ijps.2016.394.400.

H. A. Olanrewaju, J. L. Purswell, S. D. Collier, and S. L. Branton, “Effect of Ambient Temperature and Light Intensity on Growth Performance and Carcass Characteristics of Heavy Broiler Chickens at 56 Days of Age,” Int J Poult Sci, vol. 9, no. 8, pp. 720–725, 2010.

J. G. Bea and A. R. Malicdem, “Exploring Smart Sensing Technology For Brooding,” International Journal Of Scientific & Technology Research, vol. 8, no. 09, 2019, [Online]. Available: www.ijstr.org

D. Suprianto, E. Pristiya, and A. Prasetyo, “Smart Chicken Coop Ecosystem for Optimal Growth of Broiler Chickens Using Fuzzy on IoT,” Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi, vol. 7, no. 1, pp. 16–23, Jan. 2022, doi: 10.25139/inform.v7i1.4231.

J. Husein and O. B. Kharisma, “Internet of Things (IOT) Development for The Chicken Coop Temperature and Humidity Monitoring System Based on Fuzzy,” Indonesian Journal of Artificial Intelligence and Data Mining, vol. 3, no. 1, p. 9, May 2020, doi: 10.24014/ijaidm.v3i1.9294.

Wajiran, S. D. Riskiono, P. Prasetyawan, A. Mulyanto, M. Iqbal, and R. Prabowo, “Control and Realtime Monitoring System for Mushroom Cultivation Fields based on WSN and IoT,” in Journal of Physics: Conference Series, IOP Publishing Ltd, Nov. 2020. doi: 10.1088/1742-6596/1655/1/012003.

A. Yaqoob, M. Ashraf, F. Ferooz, A. Hassan, and Y. Khan, WSN Operating Systems for Internet of Things(IoT): A Survey. 2019. doi: 10.1109/ICIC48496.2019.8966731.

O. Lengkong, M. Thimoty Tombeng, J. L. Tasidjawa, and B. G. Birahy, “Prototype of IoT-Based Temperature and Humidity Monitoring and Controlling System for Broiler Chicken Coops,” COGITO Smart Journal, vol. 11, no. 1, pp. 15–26, 2025.

Azhari, T. I. Nasution, S. H. Sinaga, and Sudiati, “Design of Monitoring System Temperature And Humidity Using DHT22 Sensor and NRF24L01 Based on Arduino,” in Journal of Physics: Conference Series, Institute of Physics, 2023. doi: 10.1088/1742-6596/2421/1/012018.

R. A. Koestoer, N. Pancasaputra, I. Roihan, and H. Harinaldi, “A Simple Calibration Methods of Relative Humidity sensor DHT22 for Tropical Climates Based on Arduino Data Acquisition System,” in AIP Conference Proceedings, American Institute of Physics Inc., Jan. 2019, pp. 1–7. doi: 10.1063/1.5086556.

Y. A. Sihombing and S. Listiari, “Detection of Air Temperature, Humidity and Soil pH by Using DHT22 and pH Sensor Based Arduino Nano Microcontroller,” in AIP Conference Proceedings, American Institute of Physics Inc., Mar. 2020, pp. 1–6. doi: 10.1063/5.0003115.

R. Aspari, L. Delsi Samsumar, E. Suryadi, A. Akbar, and U. Teknologi Mataram, “Sistem Monitoring Suhu dan Kelembapan pada Kandang Ayam Broiler Berbasis Internet Of Things untuk Meningkatkan Produksi,” Journal of Computer Science and Information Technology (JCSIT), vol. 1, no. 4, 2024.

I. A. Abdulrazzak, H. Bierk, and L. A. Aday, “Humidity and Temperature Monitoring,” International Journal of Engineering & Technology, vol. 7, no. 4, pp. 5174–5177, Mar. 2018, doi: 10.14419/ijet.v7i4.23225.

A. M. Pranta, S. M. A. Islam, and R. I. Khan, “Development of a sensor-integrated AI automation model for decision-based heat stress management in layer chickens under subtropical climate conditions,” Smart Agricultural Technology, vol. 12, Dec. 2025, doi: 10.1016/j.atech.2025.101306.

S. R et al., “Precision Poultry Management Using Smart Sensors,” in Proceedings ofthe 1st International Conference on Emerging Innovations for Sustainable Agriculture (ICEISA 2024), INSTICC, Sep. 2025, pp. 5–13. doi: 10.5220/0012869600004519.

L. S. Ezema, E. C. Ifediora, A. A. Olukunle, and N. C. Onuekwusi, “Design and Implementation of an Esp32-Based Smart Embedded Industrial Poultry Farm,” European Journal of Engineering and Technology Research, vol. 6, no. 3, pp. 38–43, Apr. 2021, doi: 10.24018/ejers.2021.6.3.2397.

F. A. Soelistianto, A. Indrianto, M. A. Anshori, M. Nur, and R. Adriansyah, “IoT Based Poultry Cage Quality Monitoring System,” West Science Interdisciplinary Studies, vol. 02, no. 09, pp. 1780–1786, 2024.

H. Jebari, M. H. Mechkouri, S. Rekiek, and K. Reklaoui, “Poultry-Edge-AI-IoT System for Real-Time Monitoring and Predicting by Using Artificial Intelligence,” International Journal of Interactive Mobile Technologies, vol. 17, no. 12, pp. 149–170, 2023, doi: 10.3991/ijim.v17i12.38095.

R. Syam, B. Maruddani, E. K. Pramono, I. R. Kartika, and D. I. Irsyad, “A Dual-Microcontroller IoT Platform for Integrated Flood and Air Quality Monitoring: Performance and Integration Challenges,” International Journal of Engineering, Science and Information Technology, vol. 5, no. 4, pp. 404–411, Oct. 2025, doi: 10.52088/ijesty.v5i4.1539.

M. Farhan, M. Sadly Said, P. Studi, S. Komputer, S. Catur, and S. Kendari, “Sistem Monitoring Cerdas Suhu Dan Kelembapan Kandang Anak Ayam Broiler Berbasis Internet Of Things,” Jurnal Sistem Informasi dan Teknik Komputer, vol. 10, no. 2, 2025.


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel The The Prototype of An Automated Temperature Control System for Broiler Chicken Coops Based on Arduino and The Internet of Things (IoT)

Dimensions Badge
Article History
Submitted: 2025-12-10
Published: 2025-12-24
Abstract View: 97 times
pdf Download: 59 times
Section
Articles