Design and Construction of Hydroponic Plant Cultivation Based on the Internet of Things on Lettuce

Authors

  • Muhammad Zainal Arifin Politeknik Negeri Samarinda, Indonesia
  • Karyo Budi Utomo Politeknik Negeri Samarinda, Indonesia
  • Ahmad Rofiq Hakim Politeknik Negeri Samarinda, Indonesia

DOI:

https://doi.org/10.59934/jaiea.v5i3.2579

Keywords:

ESP32, Firebase, Hydroponics, Internet Of Things, Pump Automation

Abstract

This research discusses the design of an Internet of Things (IoT)-based hydroponic cultivation system applied to lettuce plants. This system is designed to automatically monitor and control plant environmental conditions, such as solution pH, nutrient content (TDS), and water temperature, using an ESP32 microcontroller connected to related sensors. Data obtained from the sensors are then sent to a Firebase-based platform for real-time monitoring via a monitoring website. This system is also equipped with automatic water pump control to increase or decrease the nutrient solution according to the conditions detected by the sensors. With this system, users can monitor and manage hydroponic plants without having to be physically present at the location, simply by accessing the website to see the condition of the plants directly. The results of this study indicate that the system is able to increase lettuce plant productivity through more optimal growth and better quality. In addition, this system also provides efficiency in cultivation management, both in terms of time, energy, and nutrient use, because the monitoring and control processes are carried out automatically and in real-time.

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Published

2026-06-30

How to Cite

Arifin, M. Z., Utomo, K. B., & Hakim, A. R. (2026). Design and Construction of Hydroponic Plant Cultivation Based on the Internet of Things on Lettuce. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 5(3), 4921–4929. https://doi.org/10.59934/jaiea.v5i3.2579

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Articles