{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T09:23:23Z","timestamp":1780392203907,"version":"3.54.1"},"reference-count":45,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,3,29]],"date-time":"2021-03-29T00:00:00Z","timestamp":1616976000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004343","name":"Stavros Niarchos Foundation","doi-asserted-by":"publisher","award":["2708\/12-11\/2015"],"award-info":[{"award-number":["2708\/12-11\/2015"]}],"id":[{"id":"10.13039\/501100004343","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Automatic Weather Stations (AWS) are extensively used for gathering meteorological and climatic data. The World Meteorological Organization (WMO) provides publications with guidelines for the implementation, installation, and usages of these stations. Nowadays, in the new era of the Internet of Things, there is an ever-increasing necessity for the implementation of automatic observing systems that will provide scientists with the real-time data needed to design and apply proper environmental policy. In this paper, an extended review is performed regarding the technologies currently used for the implementation of Automatic Weather Stations. Furthermore, we also present the usage of new emerging technologies such as the Internet of Things, Edge Computing, Deep Learning, LPWAN, etc. in the implementation of future AWS-based observation systems. Finally, we present a case study and results from a testbed AWS (project AgroComp) developed by our research team. The results include test measurements from low-cost sensors installed on the unit and predictions provided by Deep Learning algorithms running locally.<\/jats:p>","DOI":"10.3390\/info12040146","type":"journal-article","created":{"date-parts":[[2021,3,29]],"date-time":"2021-03-29T16:01:57Z","timestamp":1617033717000},"page":"146","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":78,"title":["Low-Cost Automatic Weather Stations in the Internet of Things"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0749-099X","authenticated-orcid":false,"given":"Konstantinos","family":"Ioannou","sequence":"first","affiliation":[{"name":"Hellenic Agricultural Organization \u201cDEMETER\u201d, Forest Research Institute, Vasilika, 57006 Thessaloniki, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0203-0476","authenticated-orcid":false,"given":"Dimitris","family":"Karampatzakis","sequence":"additional","affiliation":[{"name":"Industrial and Educational Embedded Systems Lab, Department of Computer Science, International Hellenic University, 65403 Kavala, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Petros","family":"Amanatidis","sequence":"additional","affiliation":[{"name":"Industrial and Educational Embedded Systems Lab, Department of Computer Science, International Hellenic University, 65403 Kavala, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vasileios","family":"Aggelopoulos","sequence":"additional","affiliation":[{"name":"Industrial and Educational Embedded Systems Lab, Department of Computer Science, International Hellenic University, 65403 Kavala, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ilias","family":"Karmiris","sequence":"additional","affiliation":[{"name":"Hellenic Agricultural Organization \u201cDEMETER\u201d, Forest Research Institute, Vasilika, 57006 Thessaloniki, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,29]]},"reference":[{"key":"ref_1","unstructured":"Ahrens, C.D. (2009). Meterorology Today, Brooks, Cole, Cengage Learning. [9th ed.]."},{"key":"ref_2","unstructured":"Flokas, A. (1992). Lessons in Meteorology and Climatology, Ziti Publications."},{"key":"ref_3","first-page":"948","article-title":"The Design, Installation and Operation of a Fully Computerized, Automatic Weather Station for High Quality Meteorological Measurements","volume":"16","author":"Bagiorgas","year":"2007","journal-title":"Fresenius Environ. Bull."},{"key":"ref_4","unstructured":"(2018). Guide to Instruments and Methods of Observation; Volume III\u2014Observing Systems, World Meteorological Organization. Available online: https:\/\/community.wmo.int\/activity-areas\/imop\/wmo-no_8."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Roberts, L.G., and Wessler, B.D. (1970). Computer Network Development to Achieve Resource Sharing. Proceedings of the May 5\u20137, 1970, Spring Joint Computer Conference, Association for Computing Machinery.","DOI":"10.1145\/1476936.1477020"},{"key":"ref_6","first-page":"1","article-title":"Measurement of Solid Precipitation at Automatic Weather Stations, Challenges and Opportunities","volume":"4905","author":"Nitu","year":"2010","journal-title":"Meteorol. Serv. Can."},{"key":"ref_7","unstructured":"Groth, D., and Skandier, T. (2005). Network+ Study Guide, Sybex. [4th ed.]."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/0378-3774(90)90061-3","article-title":"Tropicalisation of Automatic Weather Stations and Initial Results for Improved Irrigation Water Management in Reunion Island","volume":"17","author":"Genere","year":"1990","journal-title":"Agric. Water Manag."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/0022-1694(85)90063-0","article-title":"A Cold Regions Automatic Weather Station","volume":"79","author":"Strangeways","year":"1985","journal-title":"J. Hydrol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"100040","DOI":"10.1016\/j.deveng.2018.100040","article-title":"Towards a Robust and Affordable Automatic Weather Station","volume":"4","author":"Nsabagwa","year":"2019","journal-title":"Dev. Eng."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Abbate, S., Avvenuti, M., Carturan, L., and Cesarini, D. (2013, January 5\u20137). Deploying a Communicating Automatic Weather Station on an Alpine Glacier. Proceedings of the Procedia Computer Science, Barcelona, Spain.","DOI":"10.1016\/j.procs.2013.06.170"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"31005","DOI":"10.3390\/s151229841","article-title":"An Intelligent Weather Station","volume":"15","author":"Mestre","year":"2015","journal-title":"Sensors"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Strigaro, D., Cannata, M., and Antonovic, M. (2019). Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis. Sensors, 19.","DOI":"10.3390\/s19051185"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Villagr\u00e1n, V., Montecinos, A., Franco, C., and Mu\u00f1oz, R.C. (2017). Environmental Monitoring Network along a Mountain Valley Using Embedded Controllers. Meas. J. Int. Meas. Confed.","DOI":"10.1016\/j.measurement.2017.02.046"},{"key":"ref_15","unstructured":"Alliance, L. (2017). LoRaWANTM 1.1 Specification, LoRa Alliance."},{"key":"ref_16","unstructured":"Lee, C.-J., Ki-Seon, R., and Beum-Joon, K. (2013). Periodic Ranging in a Wireless Access System for Mobile Station in Sleep Mode. (8,514,757), U.S. Patent."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"104877","DOI":"10.1016\/j.compag.2019.104877","article-title":"Wireless Sensor Networks for Greenhouses: An End-to-End Review","volume":"163","author":"Kochhar","year":"2019","journal-title":"Comput. Electron. Agric."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.icte.2017.03.004","article-title":"A Survey on LPWA Technology: LoRa and NB-IoT","volume":"3","author":"Sinha","year":"2017","journal-title":"ICT Express"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Adityawarman, Y., and Matondang, J. (2018, January 22\u201326). Development of Micro Weather Station Based on Long Range Radio Using Automatic Packet Reporting System Protocol. Proceedings of the 2018 International Conference on Information Technology Systems and Innovation (ICITSI), Bandung, Indonesia.","DOI":"10.1109\/ICITSI.2018.8696081"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Pietrosemoli, E., Rainone, M., and Zennaro, M. (2019, January 25\u201327). On Extending the Wireless Communications Range of Weather Stations Using LoRaWAN. Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, Valencia, Spain.","DOI":"10.1145\/3342428.3342660"},{"key":"ref_21","unstructured":"Rahman, N.H.A., Yamada, Y., Husni, M.H., and Aziz, N.H.A. (2018, January 24\u201326). Analysis of Propagation Link for Remote Weather Monitoring System through LoRa Gateway. Proceedings of the 2018 2nd International Conference on Telematics and Future Generation Networks (TAFGEN), Kuching, Malaysia."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2177","DOI":"10.1109\/TIM.2018.2814082","article-title":"Monitoring of Large-Area IoT Sensors Using a LoRa Wireless Mesh Network System: Design and Evaluation","volume":"67","author":"Lee","year":"2018","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Hossinuzzaman, M.D., and Dahnil, D.P. (2019). Enhancement of Packet Delivery Ratio during Rain Attenuation for Long Range Technology. Int. J. Adv. Comput. Sci. Appl., 10.","DOI":"10.14569\/IJACSA.2019.0101031"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Bezerra, N.S., Ahlund, C., Saguna, S., and de Sousa, V.A. (2019). Temperature Impact in LoraWAN\u2014A Case Study in Northern Sweden. Sensors, 19.","DOI":"10.3390\/s19204414"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Cardell-Oliver, R., H\u00fcbner, C., Leopold, M., and Beringer, J. (2019, January 10). Dataset: LoRa Underground Farm Sensor Network. Proceedings of the DATA 2019, 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019, New York, NY, USA.","DOI":"10.1145\/3359427.3361912"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Xue-fen, W., Yi, Y., and Jian, C. (2018, January 6\u20137). Wireless Sensor Node with Lightning and Atmospheric Pressure Detection for Severe Convective Weather Warning Networks. Proceedings of the 2018 International Symposium in Sensing and Instrumentation in IoT Era (ISSI), Shanghai, China.","DOI":"10.1109\/ISSI.2018.8538302"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Malhi, G.S., Kaur, M., and Kaushik, P. (2021). Impact of Climate Change on Agriculture and Its Mitigation Strategies: A Review. Sustainability, 13.","DOI":"10.3390\/su13031318"},{"key":"ref_28","unstructured":"European Environment Agency (2021, March 29). Progress of the European Union towards Its Renewable Energy Targets, Available online: https:\/\/www.eea.europa.eu\/themes\/climate\/trends-and-projections-in-europe\/trends-and-projections-in-europe-2016\/4-progress-of-the-european."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1109\/JIOT.2016.2579198","article-title":"Edge Computing: Vision and Challenges","volume":"3","author":"Shi","year":"2016","journal-title":"IEEE Internet Things J."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2201","DOI":"10.1007\/s11276-014-0731-0","article-title":"Future Internet of Things: Open Issues and Challenges","volume":"20","author":"Tsai","year":"2014","journal-title":"Wirel. Netw."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1655","DOI":"10.1109\/JPROC.2019.2921977","article-title":"Deep Learning With Edge Computing: A Review","volume":"107","author":"Chen","year":"2019","journal-title":"Proc. IEEE"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Seferagi\u0107, A., Famaey, J., De Poorter, E., and Hoebeke, J. (2020). Survey on Wireless Technology Trade-Offs for the Industrial Internet of Things. Sensors, 20.","DOI":"10.3390\/s20020488"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Lagkas, T., Argyriou, V., Bibi, S., and Sarigiannidis, P. (2018). UAV IoT Framework Views and Challenges: Towards Protecting Drones as \u201cThings\u201d. Sensors, 18.","DOI":"10.3390\/s18114015"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1109\/MNET.2018.1700202","article-title":"Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing","volume":"32","author":"Li","year":"2018","journal-title":"IEEE Netw."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Galanopoulos, A., Iosifidis, G., and Salonidis, T. (2019, January 2\u20135). Cooperative Analytics for the Internet of Things. Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, Catania, Italy.","DOI":"10.1145\/3323679.3326631"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Chavan, G., and Momin, B. (2017, January 10\u201311). An Integrated Approach for Weather Forecasting over Internet of Things: A Brief Review. Proceedings of the 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India.","DOI":"10.1109\/I-SMAC.2017.8058291"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Yazici, M.T., Basurra, S., and Gaber, M.M. (2018). Edge Machine Learning: Enabling Smart Internet of Things Applications. Big Data Cogn. Comput., 2.","DOI":"10.3390\/bdcc2030026"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Guill\u00e9n-Navarro, M.\u00c1., Pere\u00f1\u00edguez-Garc\u00eda, F., and Mart\u00ednez-Espa\u00f1a, R. (2017, January 21\u201325). IoT-Based System to Forecast Crop Frost. Proceedings of the 2017 International Conference on Intelligent Environments (IE), Seoul, Korea.","DOI":"10.1109\/IE.2017.38"},{"key":"ref_39","unstructured":"Nguyen Gia, T., Qingqing, L., Pena Queralta, J., Zou, Z., Tenhunen, H., and Westerlund, T. (2019, January 25\u201327). Edge AI in Smart Farming IoT: CNNs at the Edge and Fog Computing with LoRa. Proceedings of the IEEE AFRICON Conference, Accra, Ghana."},{"key":"ref_40","unstructured":"Ioannou, K., Emmanouloudis, D., and Xenitidis, K. (2017, January 21\u201324). Low Cost Computer Platforms for Environmental Monitoring the Case of the AgroComp Project. Proceedings of the 8th International Conference on Information and Communication Technologies in Agriculture, Food and Environment, Crete, Greece."},{"key":"ref_41","unstructured":"Ioannou, K., Emmanouloudis, D., and Xenitidis, K. (2017, January 21\u201324). A Comparative Analysis among Three Commercial Temperature Sensors. Proceedings of the 8th International Conference on Information and Communication Technologies in Agriculture, Food and Environment, Crete, Greece."},{"key":"ref_42","unstructured":"Muthukumar, J. (2021, January 21). Kaggle\u2014Weather Dataset. Available online: https:\/\/www.kaggle.com\/muthuj7\/weather-dataset."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Huang, Z.Q., Chen, Y.C., and Wen, C.Y. (2020). Real-Time Weather Monitoring and Prediction Using City Buses and Machine Learning. Sensors, 20.","DOI":"10.3390\/s20185173"},{"key":"ref_44","unstructured":"Staudemeyer, R.C., and Morris, E.R. (2019). Understanding LSTM\u2014A Tutorial into Long Short-Term Memory Recurrent Neural Networks. arXiv."},{"key":"ref_45","unstructured":"WMO International Conference on Automatic Weather Stations (2017). Automatic Weather Stations for Environmental Intelligence\u2014The AWS in the 21st Century, ICAWS 2017 Proceedings, WMO. WMO Report No.127."}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/12\/4\/146\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T13:53:20Z","timestamp":1760363600000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/12\/4\/146"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,29]]},"references-count":45,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2021,4]]}},"alternative-id":["info12040146"],"URL":"https:\/\/doi.org\/10.3390\/info12040146","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3,29]]}}}