Smart Water Automation System to Regulate Watering of Horticultural Plants with Arduino-based Fuzzy Logic

Hadi Zakaria

doi:10.55927/ijis.v4i2.24

Authors

Hadi Zakaria Universitas Pamulang

DOI:

https://doi.org/10.55927/ijis.v4i2.24

Keywords:

Automation System, Smart water, Horticulture, Fuzzy logic, Arduino

Abstract

Manual irrigation management of horticultural crops often causes water wastage, inefficiency, and lack of adaptation to dynamic environmental conditions. This research aims to develop a fuzzy logic-based watering automation system using Arduino microcontroller and Internet of Things (IoT) technology. The system is designed to improve water use efficiency through real-time data-based decision making from soil moisture, air temperature, and light intensity sensors. The methods used include hardware design with sensors integrated into an Arduino-based system, software development using fuzzy logic algorithms for adaptive decision making, and IoT integration for remote monitoring and control through web-based or mobile applications. Test results show that the system is able to reduce water consumption by 35% compared to manual methods, with soil moisture sensor accuracy reaching 95%, temperature sensor 93%, and light intensity sensor 90%. The IoT system successfully sends real-time data with a success rate of more than 95% and an average response time of less than 200 milliseconds. The results showed that the fuzzy logic and IoT-based watering automation system offers an efficient, adaptive, and environmentally friendly solution for modern irrigation management. This system is relevant to be adopted by farmers in various regions, especially with limited water resources

References

Armanto, A. (2019). Design of Automatic Plant Watering Using Arduino-based Soil Moisture Sensor. Mura Journal of Information Technology,11 (02), 76-83. https://doi.org/10.32767/jti.v11i02.626

Azizah Nur. (2021). Smart Building Oyster Mushroom Using Fuzzy Method Based on Interior Internet of Things. Maulana Malik Ibrahim State Islamic University, Malang, Indonesia. Statistics Indonesia (BPS). (2023). Agricultural Indicator.

Darmawan, I. W. B., Kumara, I. N. S., & Khrisne, D. C. (2021). Smart Garden as an Implementation of Plant Control and Monitoring System Based on Smart Technology. SPEKTRUM Journal,8 (4), 161. https://doi.org/10.24843/spektrum.2021.v08.i04.p19.

Dwi Rizki, E., Pardede, A. M., & Ambarita, I. (2022). Arduino Nano with Fuzzy Logic Method. Journal of Kaputama Informatics Engineering (JTIK), 6(2), 516–527.

FAO. (2021). Sustainable Agriculture in Southeast Asia. [Online]. Available: Https://Www.Fao.Org.

Harahap, S. S. (2019). Wayfinding Tool for the Blind Using Microcontroller-Based Fuzzy Logic. North Sumatra State Islamic University.

Kumar, A., & Singh, R. (2020). Enhancing Irrigation Accuracy with Fuzzy Logic. International Journal of Smart Agriculture Systems, 4(2), 45–53.

Kurniawan, K., Nurhayati, T., & Saputra, D. (2020). Use of technology in water management to reduce wastage by 30%. Urnal of Agricultural Technology,10 (2), 115-123. https://doi.org/10.1234/jtp.2020.10.2.115

L. Zhang, Y. Wang, Q. L. (2019). Automation in Irrigation Management Using Sensors, International Journal of Agricultural Engineering. International Journal of Agricultural Engineering, 5(3), 67–75.

Megasari, R., Harahap, D. E., Syahadat, R. M., Wattimena, S., Angelia, I. O., Prasetyo, A., Abidin, Z., Saleh, I., Sriwahyuni, I., Ratri, W. S., Isrianto, P. L., & Hati, R. P. (2023). Horticulture. In Angewandte Chemie International Edition, 6(11), 951-952: Vol. (First, Issue). Widina Bahakti Persada.

Prasetyo, A., Litanianda, Y., Fadelan, F., Yusuf, A. R., & Sugianti, S. (2020). Irrigation Control Using Fuzzy Logic on The Internet of Things Agriculture System. CESS: Journal of Computer Engineering and System Science,7 (2), 572-580. https://doi.org/10.24114/cess.v7i2.37195.

Prasetyo, Angga, Litanianda, Y., Fadelan, F., Yusuf, A. R., & Sugianti, S. (2022). Irrigation Control Using Fuzzy Logic on The Internet of Things Agriculture System. CESS (Journal of Computer Engineering, System and Science),7 (2), 572. https://doi.org/10.24114/cess.v7i2.37195

R. Mahendra, A. M. T. (2021). Design of Smart Watering System for Plant Using Raspberry Pi. Journal of IKRA-ITH Technology, 5(2), 17–22.

Rahman, M., Fitri, H. A., & Pratama, S. R. (2020). Implementation of Arduino-based Irrigation System for Water Use Efficiency. Journal of IoT Applications in Agriculture, 3(1), 23–31.

Roihan, A., Hasanudin, M., Sunandar, E., & Pratama, S. R. (2020). Design of Bird Repellent Device Prototype as Rice Harvest Optimization in Agriculture Based on Internet of Things. Simetris Journal of Mechanical Engineering, Electrical, and Computer Science,11 (1), 129-134. https://doi.org/10.24176/simet.v11i1.3752.

Sharma, H., Bajwa, J., Manhas, S., & Sarwan, J. (2020). Probiotics: A short review. Annals of Tropical Medicine and Public Health,23 (15). https://doi.org/10.36295/ASRO.2020.231543

Simbolon, F., Z. Azmi, U.. P., & Fatimah, S. (2020). Implementation of Fuzzy Logic Method on Automatic Watering System on Arduino-based Agricultural Plants. CyberTech Journal, 4(7), 1–11.

T. Wahyudi, & Fitriani, D. (2022). Strategies to Increase Agricultural Productivity in Indonesia. Indonesian Journal of Agriculture, 15(2), 102–115.

World Bank. (2021). Agricultural Productivity in Indonesia: Opportunities and Challenges. World Bank.