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Irrigation Efficiency in Green Wall Systems Utilizing IoT: Developing and testing a method to optimize water use for green walls
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-controll...
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| Format: | Thesis |
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AUC Knowledge Fountain
2026
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| _version_ | 1867613431444537344 |
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| access_status_str | Open Access |
| author | Zaghloul, Yomna |
| author_browse | Zaghloul, Yomna |
| author_facet | Zaghloul, Yomna |
| author_sort | Zaghloul, Yomna |
| collection | Thesis |
| description | 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 |
| format | Thesis |
| id | oai:fount.aucegypt.edu:etds-3663 |
| institution | American University in Cairo (Egypt) |
| last_indexed | 2026-06-10T12:35:59.828Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from AUC Knowledge Fountain — bepress |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | AUC Knowledge Fountain |
| publisherStr | AUC Knowledge Fountain |
| record_format | dspace |
| source_str | AUC Knowledge Fountain — bepress |
| spelling | oai:fount.aucegypt.edu:etds-3663 Irrigation Efficiency in Green Wall Systems Utilizing IoT: Developing and testing a method to optimize water use for green walls Zaghloul, Yomna 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 2026-01-31T08:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/2606 https://fount.aucegypt.edu/context/etds/article/3663/viewcontent/Yomna_Final_Paper.pdf Theses and Dissertations AUC Knowledge Fountain IoT Green walls Green wall living wall green facade Optimization water arduino arduino cloud Construction Engineering and Management Environmental Engineering |
| spellingShingle | IoT Green walls Green wall living wall green facade Optimization water arduino arduino cloud Construction Engineering and Management Environmental Engineering Zaghloul, Yomna Irrigation Efficiency in Green Wall Systems Utilizing IoT: Developing and testing a method to optimize water use for green walls |
| title | Irrigation Efficiency in Green Wall Systems Utilizing IoT: Developing and testing a method to optimize water use for green walls |
| title_full | Irrigation Efficiency in Green Wall Systems Utilizing IoT: Developing and testing a method to optimize water use for green walls |
| title_fullStr | Irrigation Efficiency in Green Wall Systems Utilizing IoT: Developing and testing a method to optimize water use for green walls |
| title_full_unstemmed | Irrigation Efficiency in Green Wall Systems Utilizing IoT: Developing and testing a method to optimize water use for green walls |
| title_short | Irrigation Efficiency in Green Wall Systems Utilizing IoT: Developing and testing a method to optimize water use for green walls |
| title_sort | irrigation efficiency in green wall systems utilizing iot developing and testing a method to optimize water use for green walls |
| topic | IoT Green walls Green wall living wall green facade Optimization water arduino arduino cloud Construction Engineering and Management Environmental Engineering |
| url | https://fount.aucegypt.edu/etds/2606 https://fount.aucegypt.edu/context/etds/article/3663/viewcontent/Yomna_Final_Paper.pdf |
| work_keys_str_mv | AT zaghloulyomna irrigationefficiencyingreenwallsystemsutilizingiotdevelopingandtestingamethodtooptimizewateruseforgreenwalls |