AgriSmart: An IoT-Based Smart Gardening Model for High-Rise Academic Buildings

Abdul Rashid Zailan and Muhamad Norfiqiri Hamid
Additional contact information
Abdul Rashid Zailan: Department of Student Affairs, UTMSPACE,
Muhamad Norfiqiri Hamid: Department of Real Estate, University Technology Malaysia

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 5, 911-920

Abstract: Urbanization has led to a reduction in green spaces within modern cityscapes, making the integration of greenery into high-rise structures crucial for ecological balance and urban sustainability. Traditional gardening practices in these environments face limitations due to space constraints, accessibility challenges, and resource inefficiencies, particularly in academic institutions with multi-story buildings. This study addresses these issues by proposing an IoT-based smart gardening model tailored for high-rise academic settings. The research focuses on developing a system that integrates automated irrigation, environmental sensors, and predictive analytics to enhance plant care, minimize manual intervention, and promote sustainable resource use. The primary objective is to create a scalable and efficient framework that meets the unique needs of institutional environments. The study aims to (1) develop a real-time monitoring system using sensors and data analytics, (2) implement automated irrigation based on soil moisture levels, (3) evaluate the sustainability impacts of IoT integration, and (4) propose a replicable and low-cost model. The methodology involves system design and architecture, pilot implementation in a high-rise academic building, and data collection and evaluation. The system’s performance is assessed through real-time environmental data, water usage measurements, plant health assessments, and efficiency analyses. Results from the pilot study demonstrate the effectiveness of the IoT-based system in monitoring environmental conditions and optimizing water usage. The automated irrigation system reduced water consumption by approximately 35% compared to traditional methods. Plant health and growth were also significantly improved in the IoT-monitored garden. The study concludes that the IoT-based gardening model offers a sustainable and efficient solution for integrating greenery into high-rise academic buildings. While challenges such as sensor calibration and network reliability were encountered, the system’s benefits in water conservation, plant health, and reduced manual labor highlight its potential for broader application in urban settings.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijriss/ ... -issue-5/911-920.pdf (application/pdf)
https://rsisinternational.org/journals/ijriss/arti ... -academic-buildings/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bcp:journl:v:9:y:2025:issue-5:p:911-920

Access Statistics for this article

International Journal of Research and Innovation in Social Science is currently edited by Dr. Nidhi Malhan

More articles in International Journal of Research and Innovation in Social Science from International Journal of Research and Innovation in Social Science (IJRISS)
Bibliographic data for series maintained by Dr. Pawan Verma ().