DESIGN AND FABRICATION OF IOT SMART FARM

Authors

  • Hazim Sharudin Centre for Mechanical Engineering, Universiti Teknologi MARA (UiTM) Cawangan Johor Kampus Pasir Gudang, 81750 Masai, Johor Darul Ta’zim, Malaysia
  • Ab Aziz Mohd Yusof Centre for Mechanical Engineering, Universiti Teknologi MARA (UiTM) Cawangan Johor Kampus Pasir Gudang, 81750 Masai, Johor Darul Ta’zim, Malaysia
  • Haszeme Abu Kasim Centre for Mechanical Engineering, Universiti Teknologi MARA (UiTM) Cawangan Johor Kampus Pasir Gudang, 81750 Masai, Johor Darul Ta’zim, Malaysia
  • Noor Hafiz Noordin Centre for Mechanical Engineering, Universiti Teknologi MARA (UiTM) Cawangan Johor Kampus Pasir Gudang, 81750 Masai, Johor Darul Ta’zim, Malaysia
  • Aiman Muqhriz Usuloudin Centre for Mechanical Engineering, Universiti Teknologi MARA (UiTM) Cawangan Johor Kampus Pasir Gudang, 81750 Masai, Johor Darul Ta’zim, Malaysia

DOI:

https://doi.org/10.24191/mjoc.v9i2.26550

Keywords:

Automatic Plant Watering System, Arduino Internet of Things (IoT), Soil Humidity

Abstract

 This project will help farmers stay connected with their farm from anywhere. It can help to observe the temperature, humidity, and potential of hydrogen (pH) in the land. Most farmers will have difficulty keeping watch on the farm when traveling far away for work. The constant hot weather in Malaysia supports this. So, this project aims to design and fabricate an automatic plant watering system that helps farmers keep the farm in check at any place and time. The project will use a few sensors such as a temperature, pH, and soil humidity sensor to get the information needed and send the information to the farmers' phones through Arduino Internet of Things (IoT) Cloud. When the information has been received, farmers can activate the water sprinkler system with just a button from the phone to water the plants. The results from the project show that an automatic plant watering system has been successfully fabricated to water plants when the soil is dry. Besides, the project also successfully activates the automatic irrigation system when the soil humidity requirements are met. Finally, it is hoped that this project will help the farmer to be more efficient in keeping the farm in check and increase the quality of the product produced.

References

Akhter, F., Siddiquei, H., Alahi, M. E. E., & Mukhopadhyay, S. (2021). Design and development of an IoT-enabled portable phosphate detection system in water for smart agriculture. Sensors and Actuators A: Physical, 330, 112861

. Alipio, M. I., Cruz, A. E. M. D., Doria, J. D. A., & Fruto, R. M. S. (2019). On the design of Nutrient Film Technique hydroponics farm for smart agriculture. Engineering in Agriculture, Environment and Food, 12(3), 315-324.

Chen, J. I.-Z., & Yeh, L.-T. (2020). Greenhouse protection against frost conditions in smart farming using IoT enabled artificial neural networks. Journal of Electronics, 2(04), 228-232.

Dhruva, A. D., Prasad, B., Kamepalli, S., & Kunisetti, S. (2023). An efficient mechanism using IoT and wireless communication for smart farming. Materials Today: Proceedings, 80, 3691-3696.

Fashoto, S. G., Mbunge, E., Ogunleye, G., & den Burg, J. V. (2021). Implementation of machine learning for predicting maize crop yields using multiple linear regression and backward elimination. Malaysian Journal of Computing (MJoC), 6(1), 679-697.

Haryanto, Ulum, M., Ibadillah, A. F., Alfita, R., Aji, K., & Rizkyandi, R. (2019, April). Smart aquaponic system based Internet of Things (IoT). In Journal of Physics: Conference Series (Vol. 1211, p. 012047). IOP Publishing.

Jamil, A., Zulhilmi, M., Mutalib, S., Abdul-Rahman, S., & Abd Aziz, Z. (2018). Classification of paddy weed leaf using neuro-fuzzy methods/Mohd Zulhilmi Ab Jamil…[et al.]. Malaysian Journal of Computing (MJoC), 3(1), 54-66.

Karthikeyan, P. R., Chandrasekaran, G., Kumar, N. S., Sengottaiyan, E., Mani, P., Kalavathi, D. T., & Gowrishankar, V. (2021, July). IoT based moisture control and temperature monitoring in smart farming. In Journal of Physics: Conference Series (Vol. 1964, No. 6, p. 062056). IOP Publishing.

Lan, Z., & Ma, L. (2014). U.S. Patent No. 8,643,495. Washington, DC: U.S. Patent and Trademark Office.

Lakshmanan, R., Djama, M., Selvaperumal, S. K., & Abdulla, R. (2020). Automated smart hydroponics system using internet of things. International Journal of Electrical and Computer Engineering (IJECE), 10(6), 6389-6398.

Li, C., & Niu, B. (2020). Design of smart agriculture based on big data and Internet of things. International Journal of Distributed Sensor Networks, 16(5), 1550147720917065.

Mansey, J., & Miller-Mansey, T. (2017). U.S. Patent No. 9,603,316. Washington, DC: U.S. Patent and Trademark Office.

Muangprathub, J., Boonnam, N., Kajornkasirat, S., Lekbangpong, N., Wanichsombat, A., & Nillaor, P. (2019). IoT and agriculture data analysis for smart farm. Computers and electronics in agriculture, 156, 467-474.

Nóbrega, L., Gonçalves, P., Pedreiras, P., & Pereira, J. (2019). An IoT-based solution for intelligent farming. Sensors, 19(3), 603.

Rayhana, R., Xiao, G., & Liu, Z. (2020). Internet of things empowered smart greenhouse farming. IEEE journal of radio frequency identification, 4(3), 195-211.

Saqib, M., Almohamad, T. A., & Mehmood, R. M. (2020). A low-cost information monitoring system for smart farming applications. Sensors, 20(8), 2367.

Shin, B.-H., & Jeon, H.-K. (2020). ICT-based smart farm design. Journal of Convergence for Information Technology, 10(2), 15-20.

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Published

2024-10-01

How to Cite

Sharudin, H. ., Mohd Yusof, A. A. ., Abu Kasim, H., Noordin, N. H. ., & Usuloudin, A. M. . (2024). DESIGN AND FABRICATION OF IOT SMART FARM. Malaysian Journal of Computing, 9(2), 1896–1904. https://doi.org/10.24191/mjoc.v9i2.26550

Issue

Vol. 9 No. 2 (2024): MJoC Volume 09 (2) 2024

Section

Articles

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Copyright (c) 2025 Hazim Sharudin, Ab Aziz Mohd Yusof, Haszeme Abu Kasim, Noor Hafiz Noordin, Aiman Muqhriz Usuloudin

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