IoT-Based System of Monitoring Realtime Air Quality with MQ135 and Automatic Chicken Feeding
Abstract
IoT technology is useful for chicken farming to control the condition of the farm concerning some problems such as odour, temperature fluctuations and feeding time system. This study used MQ135 to detect ammonia odour level, DHT11 to check room temperature, and RTC3231 to regulate feeding time. The data obtained from the sensor was sent by wemos to the fire base and MySQL to be read on android so that it can be monitored directly by the breeder. When the ammonia level is above normal it will turn on the odour fan. If DHT11 reaches the value above 300C, it will turn on the cooling fan, and turn on the heating light when the temperature is below 250C. As RTC3231 sets the time at 07.00 and 14.00, the chicken feeder will automatically open to feed the chickens according to the time set. Table 1 and 2 show that the experiment obtained a value of 100% working well. This study succeeded in monitoring environmental conditions through Android and executing automatic feeding at the predetermined time. Thus, it can be concluded that the use of IoT technology for monitoring and feeding system automation in chicken farms is highly recommended.
References
[2] D. Sasmoko, “Sistem Monitoring aliran air dan Penyiraman Otomatis Pada Rumah Kaca Berbasis IoT dengan Esp8266 dan Blynk,” CIRCUIT J. Ilm. Pendidik. Tek. Elektro, vol. 4, no. 1, p. 1, 2020.
[3] G. W. Saraswati et al., “Aplikasi Mobile Dewan Masjid Indonesia ( DMI ) Kota Semarang untuk Meningkatkan Kesejahteraan Umat,” J. Ilmu Komput., vol. XIII, no. 2, pp. 99–107, 2020.
[4] B. G. Ramadhan, A. Tri Hanuranto, and R. Mayasari, “PERANCANGAN DAN IMPLEMENTASI WEB SERVER UNTUK PEMANTAUAN PETERNAKAN AYAM BERBASIS IOT WEB SERVER DESIGN AND IMPLEMENTATION FOR MONITORING OF CHICKEN FARMS BASED ON IOT Abstrak,” in e-Proceeding of Engineering, 2020, vol. 7, no. 2, pp. 3897–3907.
[5] S. Pratisca and J. Sardi, “Alat Pemberi Pakan Ikan Otomatis Berbasis Suhu Air pada Kolam Ikan,” JTEIN J. Tek. Elektro Indones., vol. 1, no. 2, pp. 193–200, 2020.
[6] F. Rozie, I. Syarif, M. U. H. Al Rasyid, and E. Satriyanto, “Sistem Akuaponik untuk Peternakan Lele dan Tanaman Kangkung Hidroponik Berbasis IoT dan Sistem Inferensi Fuzzy,” J. Teknol. Inf. dan Ilmu Komput., vol. 8, no. 1, p. 157, 2021.
[7] M. Munsyi, M. S. Febriadi, and N. Saubari, “Environmental Monitoring Berbasis Internet of Things Untuk Peternakan Cerdas,” Jukung (Jurnal Tek. Lingkungan), vol. 5, no. 1, pp. 56–64, 2019.
[8] A. A. Herdiansyah, “PROTOTIPE INTERNET of THINKS (IoT) SEBAGAI PENGENDALI LINGKUNGAN TERNAK ITIK,” Ubiquitous Comput. its Appl. J., vol. 2, pp. 105–112, 2019.
[9] J. Muangprathub, N. Boonnam, S. Kajornkasirat, N. Lekbangpong, A. Wanichsombat, and P. Nillaor, “IoT and agriculture data analysis for smart farm,” Comput. Electron. Agric., vol. 156, no. June 2018, pp. 467–474, 2019.
[10] K. B. K. Sai, S. Ramasubbareddy, and A. K. Luhach, “IOT based air quality monitoring system using MQ135 and MQ7 with machine learning analysis,” Scalable Comput., vol. 20, no. 4, pp. 599–606, 2019.
[11] R. Shrestha, “Study and Control of DHT11 Using Atmega328P Microcontroller,” Int. J. Sci. Eng. Res., vol. 10, no. 4, pp. 518–521, 2019.
[12] R. Wahyuni, A. Rickyta, U. Rahmalisa, and Y. Irawan, “Home Security Alarm Using Wemos D1 And HC-SR501 Sensor Based Telegram Notification,” J. Robot. Control, vol. 2, no. 3, pp. 200–204, 2021.
[13] H. Hendri, S. Enggari, Mardison, M. R. Putra, and L. N. Rani, “Automatic System to Fish Feeder and Water Turbidity Detector Using Arduino Mega,” in Journal of Physics: Conference Series, 2019, vol. 1339, no. 1.
[14] C. Khawas and P. Shah, “Application of Firebase in Android App Development-A Study,” Int. J. Comput. Appl., vol. 179, no. 46, pp. 49–53, 2018.
