Design and Implementation of an IoT-Based Real-Time Monitoring and Closed-Loop Control System for KUB Day-Old Chick Brooding Houses
DOI:
https://doi.org/10.51601/ijse.v6i3.786Abstract
The brooding phase represents the most critical physiological window in the life cycle of Kampung Unggul Balitbangtan (KUB) native chickens. Day-Old Chicks (DOC) possess underdeveloped thermoregulatory mechanisms, requiring strict microclimatic boundary control within 32.0–35.0 °C and 60–70% relative humidity (RH) to prevent hypothermia, respiratory distress, and high mortality. Traditional brooding management relies predominantly on manual observation and unmodulated incandescent heating, resulting in severe thermal fluctuations, excessive fuel/electricity consumption, and uneven chick growth. This study presents the design, fabrication, and rigorous empirical validation of an Internet of Things (IoT)-driven precision brooding environment system equipped with automated closed-loop multi-actuator control. The architecture integrates a high-precision digital DHT20 I2C temperature and relative humidity sensor, an analog DC voltage sensor for 12V DC power supply rail integrity monitoring, an ESP32 dual-core microcontroller running a deterministic hysteresis-PID control algorithm, and dynamic cloud telemetry via the Blynk IoT protocol. Static calibration against secondary standards (Fluke 971 and Keysight 34461A) demonstrated exceptional sensor reliability, yielding an absolute temperature error of 0.18 ± 0.07 °C (R² = 0.998) and voltage linearity across 9.0–15.0 V with a maximum deviation of 0.04 V (R² = 0.999). Dynamic 24-hour testing under fluctuating tropical ambient conditions (22.8–33.4 °C; 58.2–94.1% RH) confirmed that the closed-loop system robustly maintained internal brooder temperature at 33.52 ± 0.38 °C and relative humidity at 65.4 ± 2.8%, eliminating nocturnal thermal stress. Biological validation across a 14-day brooding trial with n = 200 KUB DOC chicks showed a significant reduction in cumulative mortality from 8.0% (conventional brooder) to 1.0% (IoT brooder), alongside a 34.1% improvement in mean Body Weight Gain (331.5 ± 12.4 g vs. 247.2 ± 15.8 g) and an optimized Feed Conversion Ratio (FCR) of 1.24 vs. 1.62. The proposed cyber-physical system offers an energy-efficient, robust, and scalable automation paradigm for smart poultry farming under tropical climatic volatility.
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[1] S. Neethirajan, "Recent advances in wearable sensors and internet of things for precision livestock farming," Computers and Electronics in Agriculture, vol. 177, p. 105689, 2020. https://doi.org/10.1016/j.compag.2020.105689
[2] D. Berckmans, "General introduction to precision livestock farming," Animal Frontiers, vol. 7, no. 1, pp. 6–11, 2017. https://doi.org/10.2527/af.2017.0102
[3] T. Norton, C. Chen, M. L. V. Larsen, and D. Berckmans, "Precision livestock farming: Building 'smart-farms' that design with not just by technology," Animal Frontiers, vol. 9, no. 2, pp. 12–19, 2019. https://doi.org/10.1093/af/vfz005
[4] T. B. Iskandar, J. Sartika, and E. J. Sembiring, "Performance and genetic characteristics of KUB chicken (Kampung Unggul Balitbangtan) under tropical smallholder conditions," Indonesian Journal of Animal and Veterinary Sciences, vol. 26, no. 3, pp. 112–122, 2021.
[5] H. A. Olanrewaju, J. L. Purswell, S. D. Collier, and S. L. Branton, "Interactive effects of ambient temperature and relative humidity on physiological responses and growth performance in broilers," International Journal of Poultry Science, vol. 14, no. 5, pp. 240–248, 2015.
[6] I. F. M. Amaral, B. B. L. Medeiros, F. A. Damasceno, and J. A. O. Saraz, "Brooding phase environmental management and thermal comfort indices in poultry production: A comprehensive review," Environmental Science and Pollution Research, vol. 28, no. 12, pp. 14321–14335, 2021.
[7] A. Prawoto, D. Ratnaningsih, M. F. Setiyawan, M. R. Gunarti, and S. D. Robbi, "Design and Construction of an Arduino-Based Main Engine Overheating Detection Prototype," International Journal of Science and Environment (IJSE), vol. 6, no. 1, pp. 1171–1182, 2026.
[8] Pujianto, M. Z. Z. Muhtadi, and M. O. Lambiombir, "Design of an MPPT Monitoring System for a Solar Power Plant Based on the Internet of Things Using ESP32 and ThingSpeak," International Journal of Science and Environment (IJSE), vol. 6, no. 1, pp. 1870–1878, 2026.
[9] A. Soleha, J. Lianda, and Adam, "IoT-Based Solar Power Plant Parameter Monitoring System," International Journal of Science and Environment (IJSE), vol. 6, no. 1, pp. 1418–1424, 2026.
[10] D. Hercog, T. Lerher, M. Truntič, and O. Težak, "Design and implementation of ESP32-based IoT devices," Sensors, vol. 23, no. 15, p. 6739, 2023. https://doi.org/10.3390/s23156739
[11] M. A. A. Al-qaness, A. A. Abbasi, H. Zheng, and M. A. Elaziz, "An efficient IoT-based smart poultry monitoring and management system using edge computing," IEEE Internet of Things Journal, vol. 9, no. 21, pp. 21875–21886, 2022. https://doi.org/10.1109/JIOT.2022.3182104
[12] J. S. Tutuko, A. Prawoto, D. Ratnaningsih, A. E. Kristiyono, and S. D. Robbi, "Air Compressor Design and Construction With ESP32 Based Microcontroller Monitoring System," International Journal of Science and Environment (IJSE), vol. 6, no. 1, pp. 1134–1140, 2026.
[13] R. G. Mahale, N. P. Mahale, and P. K. Sonar, "Design and development of IoT based poultry farm monitoring and automated climate control system," Computers and Electronics in Agriculture, vol. 188, p. 106342, 2021. https://doi.org/10.1016/j.compag.2021.106342
[14] N. J. Beltrán Castañón, F. Chura Acero, J. Ramos Cutipa, and E. Cruz Ticona, "A Low-Cost Wireless Monitoring System for Photovoltaic Systems: Performance Analysis and Potential Application," Energies, vol. 18, no. 9, p. 2279, 2025.
[15] C. F. Bustamante, J. A. O. Saraz, and K. S. O. Rocha, "CFD simulation of thermal distribution and air velocity inside a smart broiler brooding house under variable ventilation," Biosystems Engineering, vol. 210, pp. 245–258, 2021. https://doi.org/10.1016/j.biosystemseng.2021.08.014
[16] W. Khalid, M. Jamil, A. A. Khan, and Q. Awais, "Open-source internet of things-based supervisory control and data acquisition system for photovoltaic monitoring and control using HTTP and TCP/IP protocols," Energies, vol. 17, no. 16, p. 4083, 2024.
[17] Y. Saleem, N. Crespi, M. H. Rehmani, and R. Copeland, "Internet of Things-aided smart grid: Technologies, architectures, applications, prototypes, and future research directions," Future Generation Computer Systems, vol. 101, pp. 218–236, 2019. https://doi.org/10.1016/j.future.2019.06.017
[18] M. R. Al-Mashhadani, S. S. Hameed, and K. A. Jasim, "Experimental investigation of energy-efficient smart brooding system with automated temperature control for poultry farming," Energy and Buildings, vol. 254, p. 111580, 2022. https://doi.org/10.1016/j.enbuild.2021.111580
[19] V. R. Sastri, "Applications of advanced sensor arrays in environmental bio-monitoring," Modern Aspects of Sensor Science, vol. 4, pp. 893–981, 2023.
[20] E. F. Orumwense and K. Abo-Al-Ez, "Internet of Things for smart energy systems: A review on its applications, challenges and future trends," AIMS Electronics and Electrical Engineering, vol. 7, no. 1, pp. 50–74, 2023. https://doi.org/10.3934/electreng.2023004
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