IoT-based smart aeroponics vertical farming system for optimized plant growth

Ho, Yih Hwa and Lee, Zhao Lun and Chia, Sia Liang and Thong, Chan Foong and Rosdi, Farah Natasha and Ramlee, Nur Ezzatul Shahira (2025) IoT-based smart aeroponics vertical farming system for optimized plant growth. International Journal of Research and Innovation in Social Science (IJRISS), IX (XI). pp. 7805-7810. ISSN 2454-6186

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Abstract

This paper presents the design and development of an IoT-based smart aeroponics vertical farming system intended to improve plant growth efficiency through continuous microclimate monitoring, automation, and optimized water–nutrient delivery. The system integrates Arduino Uno as the main controller with sensors including a light-dependent resistor (LDR), DHT11 temperature–humidity sensor, ultrasonic water-level sensor, and electromechanical actuators such as a water pump and solenoid valve. IoT connectivity is enabled through the ESP8266 Wi-Fi module, interfacing with the Blynk platform for real-time monitoring, data logging, and remote operation. The vertical tower design incorporates a multi-layered aeroponic structure allowing 7 plants per column while minimizing land usage, water consumption, and human intervention. Hardware development includes fabrication of the aeroponic tower, nutrient delivery system, and automated water-refill mechanism. Experimental results demonstrate effective luminance-based irrigation control, humidity–temperature notifications, autonomous water-level regulation, and successful plant growth over a 7-day trial using green beans. The system achieved reliable environmental sensing, responsive actuation, and stable communication with the IoT server. The findings highlight the potential of low-cost IoT-enabled aeroponics as a sustainable agricultural approach for urban environments. Recommendations for system enhancement and scalability are also discussed.

Item Type:	Article
Uncontrolled Keywords:	Aeroponics, Internet of Things (IoT), Vertical farming, Smart irrigation, Environmental monitoring
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	Sabariah Ismail
Date Deposited:	03 Feb 2026 03:38
Last Modified:	03 Feb 2026 03:38
URI:	http://eprints.utem.edu.my/id/eprint/29405
Statistic Details:	View Download Statistic

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