Zulfadli Hazim, Zul Azlan and Syahrul Nizam, Junaini and Adnan Shahid, Khan and Wan Azani, Mustafa and Behnam, Ghasemzadeh (2025) University Students' Perspectives on Adopting Internet of Things Technologies in Smart Farming: An Analysis Using the Extended Technology Acceptance Model. Human Behavior and Emerging Technologies, 2025 (1). pp. 1-20. ISSN 2578-1863
![[img]](http://ir.unimas.my/style/images/fileicons/text.png) |
PDF
University Students.pdf Download (1MB) |
Abstract
Smart farming leverages advanced technologies to promote sustainable agriculture by reducing carbon emissions, conserving resources and increasing output. At the forefront of this innovation is the Internet of Things (IoT), a network of linked devices enabling efficient monitoring and control of agricultural processes. Despite its benefits, IoT adoption in agriculture remains limited. This pilot study explores factors influencing university students' adoption of IoT technology, as they represent future agricultural innovators. Using an expanded technology acceptance model (TAM) and student survey data, the study identifies key drivers of IoT acceptance in agriculture. The findings provide valuable insights into the factors shaping IoT adoption and offer a foundation for strategies to advance sustainable farming and resource management. This research enriches the existing literature on technology adoption in agriculture. It is a reference for stakeholders aiming to enhance agricultural sustainability and productivity.
| Item Type: | Article |
|---|---|
| Additional Information: | Information, Communication and Creative Technology |
| Uncontrolled Keywords: | Industry 4.0, Internet of Things, students, technology acceptance model, urban farming. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Junaini |
| Date Deposited: | 03 Dec 2025 04:48 |
| Last Modified: | 03 Dec 2025 04:48 |
| URI: | http://ir.unimas.my/id/eprint/50682 |
Actions (For repository members only: login required)
 |
View Item |
