A Cloud-Based with Microcontroller Platforms System Designed to Educate Students within Digitalization and the Industry 4.0 Paradigm

Đorđe Mijailović, Aleksandar Đorđević, Miladin Stefanovic, Dejan Vidojević, Albina Gazizulina and Damir Projović
Additional contact information
Đorđe Mijailović: Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia
Aleksandar Đorđević: Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia
Miladin Stefanovic: Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia
Dejan Vidojević: Department of Informatics and Computing, The University of Criminal Investigation and Police Studies, 11000 Belgrade, Serbia
Albina Gazizulina: Institute of Advanced Manufacturing Technologies, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
Damir Projović: Department of Management, Military Academy, The University of Defence in Belgrade, 11000 Belgrade, Serbia

Sustainability, 2021, vol. 13, issue 22, 1-21

Abstract: The primary purpose of this paper is to present a system intended for student education based on a microcontroller platform and a cloud system where data will be stored. Obtained research results will be based on the application of The NodeMcu platform for data collection with sensor systems. MatLab, ThingSpeak cloud system, and the Virtuino platform will be used for data presentation. Quantitative data are applied to determine conditions for agriculture system performance management. By analyzing the literature and the current situation in monitoring and managing in the agriculture and ecology field, it can be concluded that there are no special education courses regarding these issues. This knowledge was a good starting point for the research presented in this paper. Accordingly, the findings include developing a monitoring and management system intended for student education in mentioned fields. In addition, the practical implications of this research includes the acquisition of information related to student satisfaction with this method of education in the courses of engineering, agriculture, and ecology. The presented system may enable benchmarking, simulation, and verification of different scenarios to improve students’ knowledge regarding sensors’ application in natural conditions. The originality of the research lies in the presented software solution that can be made available to educational institutions and other scientific institutions to serve as a basis in the overall monitoring and management of agricultural and ecology parameters.

Keywords: education; Industry 4.0; NodeMcu; cloud computing; IoT; ultrasonic; ThingSpeak (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/13/22/12396/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/22/12396/ (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:gam:jsusta:v:13:y:2021:i:22:p:12396-:d:675775

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().