Design and Implementation of a Network-Based Real Time Monitoring System for Smart Incubators Using IoT
Abstract
Temperature setting is very important during the process of hatching chicken eggs, and it's something that poultry farmers worry about a lot. When the temperature isn't steady, it can lead to fewer eggs hatching and longer time needed for the eggs to develop. Regular incubators can keep the temperature somewhat controlled, but they don't always respond quickly to sudden changes like when there's a power cut or a technical problem. This study introduces a system that uses IoT technology to monitor incubation conditions in real time. The system uses a DHT22 sensor to measure temperature and humidity, a relay module to control the heating automatically, and an ESP32 microcontroller that connects to the internet. Result of the data is sent to server using the MQTT protocol, which makes it easy and fast to share the information. The system also includes an API so farmers can view the data on a web page or through apps Telegram. If the temperature goes out of the safe range, the system sends an alert so farmers can fix the problem right away. The experiments show that this system makes monitoring easier, increases the number of eggs that successfully hatch, and gives farmers a reliable, quick, and easy way to manage their incubation process from a distance.
References
K. Tona et al., “Chicken Incubation Conditions: Role in Embryo Development, Physiology and Adaptation to the Post-Hatch Environment.,” Front. Physiol., vol. 13, p. 895854, 2022, doi: 10.3389/fphys.2022.895854.
M. P. Cabezas, J. D. Carvajal, F. Y. Vivas, and D. M. Lopez, “Smart Monitoring System for Temperature and Relative Humidity Adapted to the Specific Needs of the Colombian Pharmaceutical Service,” Internet of Things, vol. 6, no. 1, 2025, doi: 10.3390/iot6010015.
Y. Jusman, M. I. Kusumabrata, K. Purwanto, and M. A. F. Nurkholid, “DHT 11 Sensor-Based Automatic Chicken Egg Hatching Incubator,” E3S Web Conf., vol. 570, 2024, doi: 10.1051/e3sconf/202457001010.
M. J. A. Soeb, M. R. Al Mamun, S. Shammi, M. Uddin, and R. A. Eimon, “Design and Fabrication of Low-Cost Incubator to Evaluate Hatching Performance of Egg,” Eur. J. Eng. Technol. Res., vol. 6, no. 7, pp. 91–96, 2021, doi: 10.24018/ejeng.2021.6.7.2662.
S. Purwiyanti, U. Murdika, P. N. Pratama, and A. S. Repelianto, “Automatic Tomato Plant Watering System Using Fuzzy Logic Control with Telegram-Based Monitoring System,” J. Tek. Pertan. Lampung (Journal Agric. Eng., vol. 13, no. 3, p. 966, 2024, doi: 10.23960/jtep-l.v13i3.966-977.
F. N. Adhiatma, D. Perdana, N. M. Adriansyah, and R. H. Raharjo, “IEEE 802.11ah Network Planning for IoT Smart Meter Application: Case Study in Bandung Area,” J. Pekommas, vol. 5, no. 1, p. 11, 2020, doi: 10.30818/jpkm.2020.2050102.
E. Küçüktopçu, B. Cemek, and H. Simsek, “Application of Mamdani Fuzzy Inference System in Poultry Weight Estimation,” Animals, vol. 13, no. 15, 2023, doi: 10.3390/ani13152471.
J. M. Raimundo and P. Cabrita, “Artificial intelligence at assisted reproductive technology,” Procedia Comput. Sci., vol. 181, pp. 442–447, 2021, doi: 10.1016/j.procs.2021.01.189.
V. Monbet and P. Ailliot, “Sparse vector Markov switching autoregressive models. Application to multivariate time series of temperature,” Comput. Stat. Data Anal., vol. 108, pp. 40–51, 2017, doi: 10.1016/j.csda.2016.10.023.
G. Heru Sandi and Y. Fatma, “Pemanfaatan Teknologi Internet of Things (Iot) Pada Bidang Pertanian,” JATI (Jurnal Mhs. Tek. Inform., vol. 7, no. 1, pp. 1–5, 2023, doi: 10.36040/jati.v7i1.5892.
J. Cynthia, H. P. Sultana, M. N. Saroja, and J. Senthil, Ubiquitous Computing and Computing Security of IoT, vol. 47. 2019. [Online]. Available: http://link.springer.com/10.1007/978-3-030-01566-4
K. Kim, M. Erza, A. Harry, and C. Tanuwidjaja, Network Intrusion Detection using Deep Learning A Feature Learning Approach. 2018. [Online]. Available: http://www.springer.com/series/15797
I. Syukhron, “Penggunaan Aplikasi Blynk untuk Sistem Monitoring dan Kontrol Jarak Jauh pada Sistem Kompos Pintar berbasis IoT,” Electrician, vol. 15, no. 1, pp. 1–11, 2021, doi: 10.23960/elc.v15n1.2158.
M. Artiyasa, A. Nita Rostini, Edwinanto, and Anggy Pradifta Junfithrana, “Aplikasi Smart Home Node Mcu Iot Untuk Blynk,” J. Rekayasa Teknol. Nusa Putra, vol. 7, no. 1, pp. 1–7, 2021, doi: 10.52005/rekayasa.v7i1.59.
D. Yudo Setyawan and R. Marjunus, “Automasi dan Internet of Things (IoT) pada Pertanian Cerdas: review artikel pada Jurnal Terakreditasi Kemenristek,” Pros. …, no. April, p. 9, 2024, [Online]. Available: https://www.zotero.org/
A. T. Gaikwad, “FIREBASE -OVERVIEW AND USAGE FIREBASE - OVERVIEW AND USAGE,” no. August, 2022.
P. Agithal Begam et al., “Exploring Wokwi’s Versatile Simulation Capabilities Across Microcontroller Architectures,” 10th Int. Conf. Adv. Comput. Commun. Syst. ICACCS 2024, vol. 1, no. March, pp. 121–126, 2024, doi: 10.1109/ICACCS60874.2024.10716998.
wokwi, “Getting Started Welcome To Wokwi.” https://docs.wokwi.com/ (accessed Oct. 15, 2025).
Handi, H. Fitriyah, and G. E. Setyawan, “Sistem Pemantauan Menggunakan Blynk dan Pengendalian Penyiraman Tanaman Jamur Dengan Metode Logika Fuzzy,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 3, no. 4, pp. 3258–3265, 2021.
N. Dewi, M. Rohmah, and S. Zahara, “Prototype Smart Home Dengan Modul NodeMCU ESP8266 BErbasis Internet Of Things,” Teknol. Inf., pp. 3–3, 2019.
D. Prachi Mahadeo, G. Shivani Sanjay, and R. Palwe, “Plant Watering System Using ESP8266,” Int. J. Innov. Sci. Res. Technol., vol. 9, no. 3, pp. 2142–2146, 2024, doi: 10.38124/ijisrt/ijisrt24mar1519.
