| Issue |
E3S Web Conf.
Volume 646, 2025
Global Environmental Science Forum “Sustainable Development of Industrial Region” (GESF-2025)
|
|
|---|---|---|
| Article Number | 00048 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/e3sconf/202564600048 | |
| Published online | 28 August 2025 | |
IoT and the prospect of smart agriculture development
1 PHENIKAA University, Yen Nghia, Ha Dong, Hanoi 12116, Vietnam
2 University of Business and Economics, 144 Xuan Thuy St., Hanoi, 10000, Vietnam
3 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Polytechnicheckaya ul., 195251, Russian Federation
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
The development of smart agriculture brings many opportunities and challenges to the world’s agricultural production and consumption chain. The application of smart technology is an inevitable path for every country in the world to achieve the goal of sustainable agricultural development. Internet of things (IoT) is a core technology that contributes to the digitalization of production and business activities to consumer processing through sensors, operating technology and automation. The study systematizes the concepts of IoT in smart agricultural development and finds the main factors affecting the ability to apply IoT in the case of Vietnam. Research data was collected from 230 questionnaires through direct surveys in agricultural residential areas, cooperatives and smart agricultural production zones in Vietnam. Factors affecting the ability to deploy IoT were discovered through the method Exploratory Factor Analysis method (EFA) processed with IBM SPSS Statistics 20.0 software. The research results provide a practical basis to help policy makers build IoT development strategies in Vietnam in particular and developing countries in general.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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