ASSESSING PUBLIC AWARENESS AND ADOPTION OF IoT INTEGRATED MINI GREENHOUSE GARDENS FOR URBAN FARMING USING THE AIDA MODEL
DOI:
https://doi.org/10.35631/IJIREV.825022Keywords:
Agriculture, Awareness, IoT Technology, Urban FarmingAbstract
This research investigates how the Internet of Things (IoT) can help address sustainability challenges and food security in urban cities. As urban populations grow rapidly, this research uses the AIDA model namely Attention, Interest, Desire and Action, to assess public awareness and adoption of IoT integrated mini greenhouse gardens for urban farming. Both social and technical aspects of willingness to explore resource saving methods and self suffiency at home have been examined. The survey that adapted the AIDA model was conducted among participants aged 18 and above in urban Malaysian cities. There are 20 items in a survey with 5 items per factor of the AIDA model. This method is recognized for reliably measuring attitudes and intentions in agricultural research. In order to ensure accurate interpretation, mean scores and percentages were calculated using the true limits convention. The result is believed to introduce new technology to urban farming and guide policy decisions. As a result, this research will be supporting the Sustainable Development Goals (SDGs), especially Zero Hunger (Goal 2), Sustainable Cities and Communities (Goal 11), and Climate Action (Goal 13), helping cities become more sustainable and resilient.
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References
Ambong, R. M., & Paulino, M. (2020). Analyzing rice farmers’ intention to adopt modern rice technologies using the technology acceptance model (TAM). Asian Research Journal of Agriculture, 13(1), 21–30.
Chopade, A., Lomte, V. M., Patil, P., Nikate, A., & Bhosale, S. (2023). A survey on smart greenhouse monitoring and controlling system. International Journal of Creative Research Thoughts (IJCRT), 11(11), 860–873.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Dong, H., Wang, H., & Han, J. (2022). Understanding ecological agricultural technology adoption in China using an integrated technology acceptance model–theory of planned behavior model. Frontiers in Environmental Science, 10, 1–11.
Duang-Ek-Anong, S., Pibulcharoensit, S., & Phongsatha, T. (2019). Technology readiness for Internet of Things (IoT) adoption in smart farming in Thailand. International Journal of Simulation: Systems, Science & Technology.
Ferrández-Pastor, F. J., García-Hernández, L., Marin-Guirao, A. I., & Nieto-Garido, J. A. (2016). Smart garden: An IoT-based platform for intelligent management of urban gardens. Sensors, 16(8), 1348.
Flórez, C. A. C., Rosário, J. M., & Hurtado, D. A. (2020). Application of automation and manufacture techniques oriented to a service-based business using the Internet of Things (IoT) and Industry 4.0 concepts: Case study: Smart hospital. Gestão & Produção, 27.
Hassan, S., Nadzim, S. Z. A., & Shiratuddin, N. (2015). Strategic use of social media for small business based on the AIDA model. Procedia - Social and Behavioral Sciences, 172, 262–269. https://doi.org/10.1016/j.sbspro.2015.01.363
Humayun, M., Alsirhani, A., Alserhani, F., Shaheen, M., & Alwakid, G. (2024). Transformative synergy: SSEHCET—Bridging mobile edge computing and AI for enhanced eHealth security and efficiency. Journal of Cloud Computing, 13(1), 37. https://doi.org/10.1186/s13677-024-00602-2
Jain, P., & Rekha. (2017). Impact of demographic factors: Technology adoption in agriculture. SCMS Journal of Indian Management, 14(3), 93–102.
Li, L., Choo, W. C., Leong, Y. C., Law, K. A., & Hossain, M. S. (2025). Predicting purchase intentions in online food delivery using deep learning and AIDA model: Insights from sentiment analysis of user reviews. International Journal of Engineering Business Management, 17. https://doi.org/10.1177/18479790251375827
Lindner, J. R., & Lindner, N. J. (2024). Interpreting Likert-type scales, summated scales, unidimensional scales, and attitudinal scales: I neither agree nor disagree, Likert or not. Advancements in Agricultural Development, 5(2), 152–163. https://doi.org/10.37433/aad.v5i2.351
Rathor, A. S., et al. (2024). Empowering vertical farming through IoT and AI-driven technologies: A comprehensive review. Heliyon.
Reka, S. S., Chezian, B. K., & Chandra, S. S. (2018). A novel approach of IoT-based smart greenhouse farming system. In Green buildings and sustainable engineering (pp. 227–235). Springer.
Said, F., Azhar, M. A., Khan, S., Ullah, S. N. I., Ali, F., & Khan, M. A. (2025). Development and performance analysis of an IoT-enhanced smart vertical farming system for sustainable urban agriculture. Spectrum of Engineering Sciences, 3(4). https://doi.org/10.5281/zenodo.15286308
Thompson, W. J., & Sorvig, K. (2014). Sustainable landscape construction: A guide to green building outdoors (3rd ed.). Island Press.
Tristanto, T., Huryati, R., Dirgantari, P. D., & Elyasuf, A. M. (2021). AIDA model as a marketing strategy to influence consumer buying interest in the digital age. Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 4(4).
United Nations. (n.d.). The 17 Goals. Sustainable Development Goals. https://sdgs.un.org/goals
Wudneh, T. B., & Vanitha, V. (2019). Implementation of IoT with image processing in greenhouse monitoring system. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(9).
Yusufu, G., & Nathan, N. (2020). A novel model of smart education for the development of smart university system. In 2020 International Conference in Mathematics, Computer Engineering and Computer Science (ICMCECS) (pp. 1–5). https://doi.org/10.1109/ICMCECS47690.2020.240912
Zailan, A., & Abd Hamid, M. (2025). AgriSmart: An IoT-based smart gardening model for high-rise academic buildings. International Journal of Research and Innovation in Social Science, 9, 911–920. https://doi.org/10.47772/IJRISS.2025.90500075
Zhahir, A. A., Shuhud, M. I. M., Mohd, S. M., Kamarudin, S., Ahmad, A., Salleh, R., & Norwawi, N. M. (2024). Smart farming adoption: A scoping review. Konstelasi: Konvergensi Teknologi dan Sistem Informasi, 4(1).
