[1]
M. Pourbafrani, H. Ghadamian, M. Moghadasi, and M. Mardani, Design, Fabrication, and Experimental Study of a Low-cost and Accurate Weather Station Using a Microcontroller System, Journal of Renewable Energy and Environment, 10(4), (2023) 35–43.
Google Scholar
[2]
Dwi Ramadhani, A. Taqwa, Ade Silvia Handayani, Wahyu Caesarendra, Nyayu Latifah Husni, and C. R. Sitompul, Multisensor monitoring system for detecting changes in weather conditions and air quality in agricultural environments, Journal of Environment and Sustainability Education, 3(2), (2025) 274–286.
DOI: 10.62672/joease.v3i2.103
Google Scholar
[3]
M. A. Navarrete-Sanchez, Re. Olivera-Reyna, Ro. Olivera-Reyna, R. J. Perez-Chimal, and J. U. Munoz-Minjares, IoT-Based Classroom Temperature Monitoring and Missing Data Prediction Using Raspberry Pi and ESP32, Journal of Robotics and Control (JRC), 6(1), (2025) 234–245.
DOI: 10.18196/jrc.v6i1.24345
Google Scholar
[4]
A. F. Pauzi and M. Z. Hasan, Development of IoT Based Weather Reporting System, IOP Conference Series: Materials Science and Engineering, 917 (2020) 012032.
DOI: 10.1088/1757-899x/917/1/012032
Google Scholar
[5]
J. C. Shovic, Raspberry Pi IoT Projects, Apress, Berkeley, California, 2021.
DOI: 10.1007/978-1-4842-6911-4
Google Scholar
[6]
A. Lefevre, B. Malet-Damour, H. Boyer, and G. Rivière, Advancing Urban Microclimate Monitoring: The Development of an Environmental Data Measurement Station Using a Low-Tech Approach, Sustainability, 16(7), (2024) 3093–3093.
DOI: 10.3390/su16073093
Google Scholar
[7]
K. Ioannou, D. Karampatzakis, P. Amanatidis, V. Aggelopoulos, and I. Karmiris, Low-Cost Automatic Weather Stations in the Internet of Things, Information, 12(4), (2021) 146.
DOI: 10.3390/info12040146
Google Scholar
[8]
None Silvia Ganesan, C. Peng, L. Chen, N. Kong, N. Ng, and M. Reyasudin, IoT-enabled Smart Weather Stations: Innovations, Challenges, and Future Directions, Malaysian Journal of Science and Advanced Technology, (2024) 180–190.
DOI: 10.56532/mjsat.v4i2.293
Google Scholar
[9]
N. G. Bowen and Kumar Yelamarthi, Applied Classroom Use of a Mobile Multifunctional Weather Station, Asee.org, (2020).
DOI: 10.18260/1-2--35726
Google Scholar
[10]
Molnár, J., Kiresova, S., Vince, T., Kovac, D., Jacko, P., Beres, M., & Hrabovský, P., Weather Station IoT Educational Model Using Cloud Services, Journal of Universal Computer Science, 26(11), (2020) 1495-1512. https://link.gale.com/apps/doc/A777671551/AONE.
DOI: 10.3897/jucs.2020.079
Google Scholar
[11]
I. Cabello, Design and Implementation of an IoT Weather Station: Installation at Novia University of Applied Sciences, Finland, Urn.fi, (2025), https://urn.fi/URN:NBN:fi:amk-2025061022243.
Google Scholar
[12]
Leeming, F. C., Dwyer, W. O., Porter, B. E., & Cobern, M. K. (1993). Outcome Research in Environmental Education: A Critical Review. The Journal of Environmental Education, 24(4), 8–21.
DOI: 10.1080/00958964.1993.9943504
Google Scholar
[13]
Abed, S., Alyahya, N., Altameem, A. (2020). IoT in Education: Its Impacts and Its Future in Saudi Universities and Educational Environments. In: Luhach, A., Kosa, J., Poonia, R., Gao, XZ., Singh, D. (eds) First International Conference on Sustainable Technologies for Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1045. Springer, Singapore.
DOI: 10.1007/978-981-15-0029-9_5
Google Scholar
[14]
A. Arnautov, R. Esin, E. Arnautova (2020) DESIGNING STEM-BASED LEARNING MODULES FOR FRESHMEN ENGINEERING STUDENTS, ICERI2020 Proceedings, pp.5438-5446.
DOI: 10.21125/iceri.2020.1181
Google Scholar
[15]
L. Romero, S. Velarde, y M. Ampuero Rosas, "Smart meeting room scheduling and management system for a university campus using Android tablets with Firebase backend and Headwind MDM," en Proc. 19th LACCEI Int. Multi-Conf. for Engineering, Education, and Technology – Virtual Edition, Bogotá DC, Colombia, 19–23 Jul 2021, paper FP383.
DOI: 10.18687/laccei2021.1.1.383
Google Scholar
[16]
Yugank, H.K., Sharma, R. & Gupta, S.H. An approach to analyse energy consumption of an IoT system. Int. j. inf. tecnol. 14, 2549–2558 (2022).
DOI: 10.1007/s41870-022-00954-5
Google Scholar
[17]
Bahadur, T. (2022). Data Visualization: Existing Tools and Techniques. In: Kaur, P., Mallick, P.K., Balas, V.E., Geetha, S. (eds) Advanced Data Mining Tools and Methods for Social Computing. Intelligent Data-Centric Systems, vol 1. Elsevier.
DOI: 10.1016/b978-0-32-385708-6.00017-5
Google Scholar
[18]
Muthukrishnan, H., Jeevanantham, A., Sunita, B., Najeerabanu, S., & Yasuvantha, V. (2021). Performance Analysis of Wi-Fi and LoRa Technology and its Implementation in Farm Monitoring System. In: Proceedings of IVC RAISE 2020. IOP Conference Series: Materials Science and Engineering, vol. 1055, issue 1, 012051. IOP Publishing, UK.
DOI: 10.1088/1757-899X/1055/1/012051
Google Scholar
[19]
Hernández-Torres G and Sánchez-DelaCruz E (2025) Challenges and opportunities of ambient intelligence (AmI) in the 21st century: a historical review, Evolutionary Intelligence, 10.1007/s12065-025-01067-1, 18:4, Online publication date: 1-Aug-2025.
DOI: 10.1007/s12065-025-01067-1
Google Scholar
[20]
Masson, M. H., Canu, S., Grandvalet, Y., & Lynggaard-Jensen, A. (1999). Software sensor design based on empirical data. In: Measurement, vol. 30, issue 3, p.213–221. Elsevier.
DOI: 10.1016/S0304-3800(99)00097-6
Google Scholar
[21]
Mazlitdinova, D., Suyunova, M., Khaydarova, G., Saibnazarova, M., & Kodirova, M. (2019). Modular Training System as a Factor of Improving Educational Process. In: International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 9, no. 1, p.3160–3166. Blue Eyes Intelligence Engineering & Sciences Publication.
DOI: 10.35940/ijitee.A9152.119119
Google Scholar
[22]
L.M. Broell, C. Hanshans, and D. Kimmerle, 'IoT on an ESP32: Optimization Methods Regarding Battery Life and Write Speed to an SD-Card', Edge Computing - Technology, Management and Integration. IntechOpen, Aug. 02, 2023.
DOI: 10.5772/intechopen.110752
Google Scholar
[23]
G. Jenkins, 'A comparison between two types of widely used weather stations', Weather, vol. 69, no. 4, p.105–110, Apr. 2014.
DOI: 10.1002/wea.2237
Google Scholar
[24]
Balamurali, D., Chakankar, S., Sharma, G. et al. A solar-powered, internet of things (IoT)-controlled water irrigation system supported by rainfall forecasts utilizing aerosols: a review. Environ Dev Sustain (2025).
DOI: 10.1007/s10668-024-05953-z
Google Scholar
[25]
B. Tian, K. M. Hou, X. Diao, H. Shi, H. Zhou and W. Wang, "Environment-Adaptive Calibration System for Outdoor Low-Cost Electrochemical Gas Sensors," in IEEE Access, vol. 7, pp.62592-62605, 2019, doi: 10.1109/ACCESS.2019.2916826. keywords: {Gas detectors; Calibration; Monitoring; Air quality; Temperature sensors; Meteorology; Air quality monitoring; environment-adaptive calibration (EAC); IoT cloud platform; low-cost electrochemical gas sensors; non-linear regression}.
DOI: 10.1109/access.2019.2916826
Google Scholar
[26]
H. Abubakar, S. A. Muhammad, M. A. Abubakar, and M. S. Sani, "Design and Development of a Solar Powered IoT-Based Weather Station," International Journal of Sustainable Science and Engineering (IJSSE), vol. 14, no. 1, p.251–258, 2024.
Google Scholar
[27]
D. Franco, M. Costa, L. Rodríguez, and A. López, "IoT-based Smart Meteorological Monitoring System with LoRaWAN Communication," Frontiers in Communication and Networks, vol. 2, 2024, Art. no. 1505375.
Google Scholar
[28]
R. Yadav, A. Kumar, and S. Sharma, "Low-Cost Solar Powered Weather Station for Remote Monitoring Applications," Indonesian Journal of Electrical Engineering and Computer Science, vol. 2024.I2, no. 009, p.1–10, 2024.
Google Scholar