Precision Agriculture: Soil Moisture-based IoT Drip Irrigation System to Optimize Water Usage for Aglaonema in Greenhouse Environment

Karenza, Ladysa Stella; Rhenaldy, Rhenaldy; Soewito, Benfano

doi:10.22059/ijhst.2025.376832.852

Precision Agriculture: Soil Moisture-based IoT Drip Irrigation System to Optimize Water Usage for Aglaonema in Greenhouse Environment

Document Type : Research paper

Authors

Ladysa Stella Karenza

Rhenaldy Rhenaldy

Benfano Soewito

Computer Science Department, Binus Graduate Program - Master of Computer Science, Bina Nusantara University

10.22059/ijhst.2025.376832.852

Abstract

This research paper employs Aglaonema ‘Stardust,’ a variety of Chinese Evergreen plants recognized for their air-purifying properties, to tackle issues of water scarcity. This research presents an IoT-based monitoring and irrigation system designed for greenhouse environments, focusing on accurately determining water requirements and ensuring optimal growth conditions. This system utilizes microcontrollers for the collection and analysis of data in real-time. This study involved a thirty-day drip irrigation experiment conducted in a greenhouse with four Aglaonema plants. Three of the plants were integrated into an IoT system, maintaining varying soil moisture levels between 45% and 75%, while one plant was irrigated manually. Our findings indicated that a soil moisture level of 55%-65% exhibited enhanced water efficiency, utilizing approximately 2.6 times less water. The study aims to improve horticultural productivity and sustainability by integrating IoT with drip irrigation, specifically focusing on ornamental plants such as Aglaonema.

Keywords

Aglaonema Stardust

water scarcity

Internet of Things (IoT)

drip irrigation

greenhouse cultivation