Design and Development of a Smart Automated System for Poultry Farm Management Using Internet of Things (IOT)

Main Article Content

Jaiinder Preet Singh
Piyush Gulati
Vikas Sharma
Hemant Kumar
Prakash Mahto
Ashish Choudhary

Abstract

Worldwide, poultry farming is one of the fastest-growing sectors and is a key source of livelihood for thousands of small and medium-sized farmers in India, but maintaining optimal environmental conditions - temperature, humidity, and air quality - is critical and also difficult for the health and mortality of chicks. This research work leads to the design and development of a smart, automated poultry farm management system using the Internet of Things (IoT). The system consists of two major components: a hardware module built around a Raspberry Pi and a user-friendly mobile application. The hardware module includes environmental sensors: DHT22 for temperature and humidity, MQ137 for ammonia, and MQ135 for CO₂. The solution tracks environmental conditions and transmits all information in real time to the mobile app via Firebase Cloud. The mobile app allows farmers to remotely control all environmental parameters. It includes features that recommend rationing feed for future chicks based on age, record mortality rates, batch dates, breed, feed log, and sales records, and that provide access to all information via graphical apps for better visualization. It was observed to reduce chick mortality from 5% to 1.66%, which was a savings of approximately USD 34 (for every batch of 5000 chicks) and or a projected annual benefit of around USD 210. This solution has allowed farmers to be more productive and profitable while also reducing labour and stress during adverse weather conditions. It is worth noting that this success demonstrates the potential to transform traditional poultry farming into a smarter, more sustainable approach through the use of IoT.

Article Details

Section
Research Articles

References

Kristensen, H. H.; Wathes, C. M. Ammonia and poultry welfare: A review. Worlds Poult. Sci. J. 2000, 56(3), 235–245. https://doi.org/10.1079/WPS20000018

Broderick, T. J.; Gutierrez, O.; Lee, J. T.; Duong, T. Evaluation of functional feed additive administration in broiler chickens to 21 d. J. Appl. Poult. Res. 2021, 30(2), 100121. https://doi.org/10.1016/j.japr.2020.100121

Dorninger, C. G.; Aleschko, M.; Gußl, A. H.; Fruhauf, S.; Thamhesl, M.; Doupovec, B.; Schatzmayr, D.; Moll, W. D.; Pender, C. Recent advances in enzyme technologies for mitigating mycotoxin contamination in poultry feed. J. Appl. Poult. Res. 2025, 34(3), 100544. https://doi.org/10.1016/j.japr.2025.100544

Phiri, H.; Kunda, D.; Phiri, J. An IoT smart broiler farming model for low income farmers. Int. J. Eng. Sci. 2018, 6(3), 95–110. https://doi.org/10.3991/ijes.v6i3.9287

Lashari, M. H.; Memon, A. A.; Shah, S. A. A.; Nenwani, K.; Shafqat, F. IoT based poultry environment monitoring system. In Proc. IEEE Int. Conf. Internet of Things and Intelligence System (IOTAIS); IEEE, 2018; pp 1–5. https://doi.org/10.1109/IOTAIS.2018.8600837

Gondchawar, N.; Kawitkar, R. S. IoT-based smart agriculture. Int. J. Adv. Res. Comput. Commun. Eng. 2016, 5(6), 838–842.

Liu, M.; Chen, H.; Zhou, Z.; Du, X.; Zhao, Y.; Ji, H.; Teng, G. Development of an intelligent service platform for a poultry house facility environment based on the internet of things. Agriculture 2024, 14(8), 1277. https://doi.org/10.3390/agriculture14081277

Cruz, E.; Hidalgo-Rodriguez, M.; Acosta-Reyes, A. M.; Rangel, J. C.; Boniche, K.; Gonzalez-Olivardia, F. ACMSPT: Automated counting and monitoring system for poultry tracking. AgriEngineering 2025, 7(3), 86. https://doi.org/10.3390/agriengineering7030086

Ahmed, B. A.; Salih, A. M. Design of poultry farm monitoring and disease detection system using IoT and image processing. Sudan Univ. Sci. Technol. Repository 2020.

Ehsan, T. Z.; Mohtavipour, S. M. Broiler-Net: A deep convolutional framework for broiler behavior analysis in poultry houses. arXiv 2024, arXiv:2401.12176.

Singh, D. The role of Internet of Things, computer vision, and sound analysis in a smart poultry farm. ACS Agric. Sci. Technol. 2023, 3(4), 567–578.

Shaikh, N.; Chakraborty, C. Systematic review on IoT in smart livestock management systems. Sustainability 2024, 16(10), 4073. https://doi.org/10.3390/su16104073

Esnaola-Gonzalez, I.; Gómez-Omella, M.; Ferreiro, S.; Fernandez, I.; Lázaro, I.; García, E. An IoT platform towards the enhancement of poultry production chains. Sensors 2020, 20(6), 1549. https://doi.org/10.3390/s20061549

Padua, J. N.; Malubay, J. C.; Dionisio, R.; Tandingan, Jr. IoT-based smart poultry farming: Enhancing security and monitoring for high-quality production. Int. J. Res. Innov. Technol. Comput. Commun. 2023, 11(4), 112–116.

Ahamed, A. K.; Raj, R. Robotics for poultry farming: Challenges and opportunities. arXiv 2023, arXiv:2311.05069.

Gandhi, K. I. AIoT-driven edge computing for rural small-scale poultry farming: Smart environmental monitoring and anomaly detection for enhanced productivity. Int. J. Recent Innov. Trends Comput. Commun. 2023, 11(8), 44–52. https://doi.org/10.17762/ijritcc.v11i8.7923

Gowda, S. B.; Rashmitha, K.; Rakshitha, K.; Vijaylaxmi. A witted management of poultry farm using IoT. Int. J. Eng. Res. Technol. 2020, 8(15).

Lu, J.; Hu, D.; Ye, Y.; Liu, A.; Zhang, Z.; Peng, X. The composite visual-laser navigation method applied in indoor poultry farming environments. arXiv 2025, arXiv:2504.08431.

Kale, M.; Charkha, S.; Dehankar, P.; Sharma, P.; Choudhary, A.; Jakhete, M.; Javanjal, V. IoT-based smart poultry farm monitoring and controlling using Raspberry Pi. Int. J. Intell. Syst. Appl. Eng. 2024, 12, 373–379.

Barrios, J.; Carrillo, J. Wireless technologies for agricultural monitoring using IoT with energy harvesting capabilities. arXiv 2020, arXiv:2005.02477.

Sasirekha, R.; Kaviya, R.; Saranya, G.; Mohamed, A.; Iroda, U. Smart poultry farm monitoring using IoT and cloud computing. E3S Web Conf. 2023, 399, 04055. https://doi.org/10.1051/e3sconf/202339904055

Li, Z. Application of computer vision in poultry behavior analysis. ACS Agric. Sci. Technol. 2023, 3(6), 634–642.

Sharma, S.; Aggarwal, A. IoT-based automated poultry farm management system. Sustainability 2021, 13(12), 6734.

Neethirajan, S. Automated tracking systems for the assessment of farmed poultry. Animals 2022, 12(3), 232. https://doi.org/10.3390/ani12030232

Gupta, R.; Rao, S. Energy-efficient IoT solutions for poultry farming. arXiv 2021, arXiv:2005.02477.

Orakwue, S. I. IoT-based smart monitoring system for efficient poultry farming. Webology 2022. https://doi.org/10.14704/WEB/V19I1/WEB19270