Abstract

This study investigates the application of an Internet of Things (IoT)-based automated irrigation system for green walls in Cairo, Egypt, assessing its impact on water conservation, energy consumption, and plant health across a three-month experimental period. The research compared a sensor-controlled drip irrigation system utilizing the ESP8266 microcontroller and real-time environmental monitoring against conventional timer-based irrigation methods. Water usage data revealed that the IoT system consistently achieved substantial savings—averaging nearly 60% less water consumption than the control group—without compromising overall plant vitality. Energy efficiency was also improved, with automated cycles reducing pump operating time by more than 50%. Plant growth metrics, including stem development and leaf count, were monitored for two species: Duranta erecta and Asparagus densiflorus. Results demonstrated species-dependent responses; drought-tolerant Asparagus densiflorus thrived under the IoT regime, while Duranta erecta required adaptive moisture settings to prevent wilting during periods of higher temperature. This research highlights the potential of IoT-powered irrigation systems to enhance sustainability in urban garden management, especially when combined with species selection and dynamic environmental management. The findings support the viability of scalable digital solutions for resource-efficient green wall practices in arid regions

School

School of Sciences and Engineering

Department

Construction Engineering Department

Degree Name

MS in Construction Engineering

Graduation Date

Winter 1-31-2026

Submission Date

9-17-2025

First Advisor

Ossama Hosny

Second Advisor

Ahmed EL-Gendy

Third Advisor

Elkhayam Dorra

Committee Member 1

Khaled Nassar

Committee Member 2

Mohamed Nour

Committee Member 3

Mohamed Darwish

Extent

80 p.

Document Type

Master's Thesis

Institutional Review Board (IRB) Approval

Approval has been obtained for this item

Disclosure of AI Use

Other

Other use of AI

to find any grammar mistakes

Download

Share

COinS