The Design of Automatic Chicken Feeders Machine Controlled by a Smartphone

Main Article Content

Promphak Boonraksa
Terapong Boonraksa

Abstract

This paper presents the design of an automatic chicken feeder machine controlled by a smartphone. The
DC gear motor was applied to control the flow of chicken feed operated via the ESP-8266 board. When the conveyor
thread reaches the last head of the chicken feed pan, the infrared photoelectric switch sensor will immediately
cut off the motor. A timer can operate the chicken feeder to turn it on and off. A test run at a speed of 100 rpm
shows that the feeder machine can fully feed the chickens in 3:45 minutes, using a power of 11.20 W. The chicken
feeders’ machine can help provide convenience to chicken farmers. The chicken feeder can be adjusted the
feeding time via the smartphone application at any time. The Internet of Things was used for the connection
between the smartphone and the chicken feeder, which can control the operation of the machine anywhere. This
research can also apply the knowledge to other animal feeding applications.   

Article Details

Section
Research Article

References

Thaenthong, J., Takaew, S., and Sornphrakhanchai, K., “Mobile Application Development for Pet Feeder with using Microcontroller and Internet of things,” Journal of Information Science and Technology, Vol. 9, NO 1, pp. 28-40, January – June, 2019. (In Thai)

Vijaya Saraswathi, R., Sridharani, J., Saranya Chowdary, P., Nikhil K., Sri Harshitha, M., and Mahanth Sai, K., (2022). “Smart farming: The IOT based Future Agriculture.” in Proceedings of 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), January 20-22, 2022. [Online]. Available: https://doi.org/10.1109/icssit53264.2022.9716331

Maksri, P., Inprom, W., Boonkua, S., Nuchuay, P., Bundam, N., Kamanee, N., and Laongwan, C., “Automation control technology for plant,” The 4 th National Conference in Science and Technology: NCST 4th 2021, May 22, 2021. (In Thai)

Khluabwannarat, P., “Small Automatic Chicken Feeder,” Proceedings of the 13th KU-KPS Conference (Year 2016), Kasetsart University, Kamphaeng Saen Campus, December 8-9, 2016. (In Thai)

Sari, S. N., Aritonang, R., and Sumarlin, S., Smart chicken coop control and monitoring system design automatically with smartphone notifications. Brilliance: Research of Artificial Intelligence, Vol. 1, No. 2, November 2021. [Online]. Available: https://doi.org/10.47709/brilliance.v1i2.1193

Rehman, A., Saba, T., Kashif, M., Fati, S. M., Bahaj, S. A., and Chaudhry, H., “A revisit of internet of things technologies for monitoring and control strategies in Smart Agriculture,” Agronomy, Vol. 12, No. 1, pp. 127, 2022. [Online]. Available: https://doi.org/10.3390/agronomy12010127

Olayanju, T.M.A., Osueke, O. C., Onokwai, A. O., and Uzendu, P., “Design and Construction of an Automatic Fish Feeder Machine,” International Journal of Mechanical Engineering and Technology (IJMET), Vol. 9, Issue 10, pp. 1631-1645, October, 2018.

Wongsila, S., “Internet of Things for Smart Farmer,” Science and Technology Research Institute. (In Thai) [Online]. Available: https://stri.cmu.ac.th/researcher/profile.php?id=6

Nishanthi, C.H., Naveen, D., Ram, C.S., Divya, K., and Kumar, R. A., “Smart Farming Using IOT,” International Journal of Innovative Research in Technology, Vol. 8 Issue 1, pp. 791-796, June, 2021. https://ijirt.org/master/publishedpaper/IJIRT151824_PAPER.ppd

Mitouilli, S., “Smart farming system, Monitoring and Control of Some Agriculture Features Using an Arduino Based System,” Al Akhawayn university. (n.d.). Retrieved April 19, 2022. [Online]. Available: http://www.aui.ma/sse-capstone-repository/pdf/spring-2020/SMART%20FARMING%20SYSTEM.pdf

Faroqi, A., Ramdhani, M. A., Frasetyio, F., and Fadhil, A., (2018). DC motor speed controller design using pulse width modulation. IOP Conference Series: Materials Science and Engineering. December, 2018. [Online]. Available: https://doi.org/10.1088/1757-899x/434/1/012205

Petagon, R. and Pantho, O. (2020). Drone for Detecting Forest Fires using Deep Learning Technique. Sripatum Review of Science and Technology Vol.12 January – December 2020, 65-78. (In Thai)